R Under development (unstable) (2025-10-27 r88972 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(bidux) > library(tibble) > library(cli) > > test_check("bidux") Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast i Stage numbering has been corrected in bidux 0.3.1: Anticipate is now Stage 3, Structure is now Stage 4 This change improves logical workflow progression All existing code remains backward compatible Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Anchoring mitigation: Always show reference points like previous period, budget, or industry average, Framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing, Confirmation Bias mitigation: Include alternative views that might challenge the main narrative Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Anchoring mitigation: Always show reference points like previous period, budget, or industry average, Framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing, Confirmation Bias mitigation: Include alternative views that might challenge the main narrative Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Stage 3 (Anticipate) completed. - Bias mitigations: 3 defined - Accessibility considerations not included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Automatically suggested bias mitigations: anchoring, framing, confirmation bias, accessibility. Found partial match: Anchoring Effect Found partial match: Framing & Loss Aversion Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Anchoring mitigation: Always show reference points like previous period, budget, or industry average, Framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing, Confirmation Bias mitigation: Include alternative views that might challenge the main narrative Automatically suggested bias mitigations: anchoring, framing, confirmation bias, accessibility. Found partial match: Anchoring Effect Found partial match: Framing & Loss Aversion Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Anchoring mitigation: Always show reference points like previous period, budget, or industry average, Framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing, Confirmation Bias mitigation: Include alternative views that might challenge the main narrative Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Anchoring mitigation: Always show reference points like previous period, budget, or industry average, Framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing, Confirmation Bias mitigation: Include alternative views that might challenge the main narrative Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Anchoring mitigation: Always show reference points like previous period, budget, or industry average, Framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing, Confirmation Bias mitigation: Include alternative views that might challenge the main narrative Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Anchoring mitigation: Always show reference points like previous period, budget, or industry average, Framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing, Confirmation Bias mitigation: Include alternative views that might challenge the main narrative Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Anchoring mitigation: Always show reference points like previous period, budget, or industry average, Framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing, Confirmation Bias mitigation: Include alternative views that might challenge the main narrative Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Anchoring mitigation: Always show reference points like previous period, budget, or industry average, Framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing, Confirmation Bias mitigation: Include alternative views that might challenge the main narrative Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 4 - Total concepts: 4 Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions Stage 1 (Interpret) completed. - Central question: Compare recent trends and baseline targets - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Anchoring mitigation: Always show reference points like previous period, budget, or industry average, Availability Bias mitigation: Consider how this bias affects user decisions, Recency Bias mitigation: Consider how this bias affects user decisions Returning all 41 concepts Returning all 41 concepts Returning all 41 concepts Returning all 41 concepts No concepts found matching 'xyznonexistent' Returning all 41 concepts Returning all 41 concepts i Reading telemetry data from json file... i Analyzing 2 events from 1 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Reading telemetry data from json file... i Reading telemetry data from json file... i Analyzing 6 events from 2 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Reading telemetry data from sqlite file... i Analyzing 6 events from 2 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Reading telemetry data from json file... i Analyzing 6 events from 2 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Reading telemetry data from json file... i Analyzing 2 events from 1 sessions... i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we reduce user interaction delays? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users take a long time before making their first interact... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Median time to first input is 300 seconds, and 100% of se... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 ! Identified 1 potential UX issue from telemetry analysis i Reading telemetry data from json file... i Analyzing 2 events from 1 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Reading telemetry data from json file... i Reading telemetry data from sqlite file... i Reading telemetry data from json file... i Reading telemetry data from json file... i Analyzing 9 events from 3 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Reading telemetry data from json file... i Analyzing 3 events from 1 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Reading telemetry data from json file... i Analyzing 3 events from 1 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Reading telemetry data from json file... i Analyzing 6 events from 2 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How to improve based on telemetry? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Telemetry shows user issues - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Data from usage analytics - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Reading telemetry data from json file... i Analyzing 3 events from 1 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Reading telemetry data from json file... i Analyzing 150 events from 50 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve the test scenario? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: What is causing data complexity issues? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How to improve user experience? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - User personas: 4 defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - User personas: 4 defined Stage 1 (Interpret) completed. - Central question: How can we improve the user experience of the dashboard? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve visual hierarchy to address Users struggl... - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - User personas: 4 defined Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 1 (Interpret) completed. - Central question: How to improve user engagement? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - User personas: 4 defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Test evidence - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Created user persona 'Marketing Professional Persona' based on audience information Stage 1 (Interpret) completed. - Central question: Updated central question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - User personas: 4 defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Metadata test question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Minimal test - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 1 (Interpret) completed. - Central question: How to improve dashboard usability? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How to serve different user types? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - User personas: 4 defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - User personas: 4 defined i Created user persona 'Executive Persona' based on audience information Stage 1 (Interpret) completed. - Central question: How to simplify navigation? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - User personas: 4 defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - User personas: 4 defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How to improve? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve the user experience? How can we improve t... - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Consider simplifying your central question for more focus. - No user personas defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve dashboard navigation for new users? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: Test? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question might benefit from more specificity. - No user personas defined Stage 1 (Interpret) completed. - Central question: Test? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question might benefit from more specificity. - No user personas defined i Created user persona 'Executive Persona' based on audience information Stage 1 (Interpret) completed. - Central question: Test? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question might benefit from more specificity. - User personas: 4 defined i Created user persona 'Data Analyst Persona' based on audience information Stage 1 (Interpret) completed. - Central question: Test? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question might benefit from more specificity. - User personas: 4 defined i Created user persona 'Sales Representative Persona' based on audience information Stage 1 (Interpret) completed. - Central question: Test? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question might benefit from more specificity. - User personas: 4 defined i Suggested data story elements based on previous stage information i Created user persona 'Marketing Professional Persona' based on audience information Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - User personas: 4 defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined i Suggested generic data story for iteration cycle Stage 1 (Interpret) completed. - Central question: Refine understanding? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined i Suggested generic data story for iteration cycle Stage 1 (Interpret) completed. - Central question: Refine understanding? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined -- BID Telemetry Issues Summary -- v No telemetry issues detected All tracked inputs are being used and no systematic problems found. -------------------------------------------------------------------------------- Usage: Use `as_tibble()` for tidy analysis, `bid_flags()` for flags Legacy: Access as list for backward compatibility: `issues[[1]]`, `length(issues)` Created: 2025-10-28 22:47:06 -- BID Telemetry Issues Summary -- v No telemetry issues detected All tracked inputs are being used and no systematic problems found. -------------------------------------------------------------------------------- Usage: Use `as_tibble()` for tidy analysis, `bid_flags()` for flags Legacy: Access as list for backward compatibility: `issues[[1]]`, `length(issues)` Created: 2025-10-28 22:47:06 Stage 1 (Interpret) completed. - Central question: How can we reduce user errors and confusion? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users encounter errors when using the dashboard - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Error 'Data query failed' occurred 5 times in 20% of sess... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 -- BID Telemetry Issues Summary -- v No telemetry issues detected All tracked inputs are being used and no systematic problems found. -------------------------------------------------------------------------------- Usage: Use `as_tibble()` for tidy analysis, `bid_flags()` for flags Legacy: Access as list for backward compatibility: `issues[[1]]`, `length(issues)` Created: 2025-10-28 22:47:06 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How to improve interface usability? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Hick's Law (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users are overwhelmed with too many menu options - Theory: Hick's Law (auto-suggested) - Evidence: Usability testing shows decision paralysis - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve dashboard navigation? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Information Scent (confidence: 80%) Stage 2 (Notice) completed. (40% complete) - Problem: Users struggle to navigate cluttered dashboards - Theory: Information Scent (auto-suggested) - Evidence: User testing showed increased time to locate key metrics. - Theory confidence: 80% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve user experience? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Simple dashboard issue - Theory: Custom Theory - Evidence: Users are confused by the interface layout - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we reduce user overwhelm? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Hick's Law (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users are overwhelmed with too many options in the dropdown - Theory: Hick's Law (auto-suggested) - Evidence: User testing shows confusion - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve sales team efficiency? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Sales team struggles with complex filter combinations - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Training sessions revealed confusion with multiple select... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we clarify chart design? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: The chart is cluttered and confusing - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Feedback indicates users are disoriented. - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Short - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Sufficient evidence provided. - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: A sufficiently detailed problem description - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Short - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Valid problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Valid evidence - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve user experience? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: A sufficiently detailed problem description. - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Evidence with enough detail for proper matching of theories. - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we reduce user overwhelm? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Hick's Law (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users are overwhelmed with too many options in the dropdown - Theory: Hick's Law (auto-suggested) - Evidence: User testing shows confusion - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Visual Hierarchies (confidence: 85%) Stage 2 (Notice) completed. (40% complete) - Problem: Dashboard layout is cluttered and disorganized - Theory: Visual Hierarchies (auto-suggested) - Evidence: Users can't find important metrics - Theory confidence: 85% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve user experience? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: This is a very long problem description. This is a very l... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: This is detailed evidence. This is detailed evidence. Thi... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Stage 2 (Notice) completed. (40% complete) - Problem: UI is confusing - Theory: My Custom Theory Framework - Evidence: Users report difficulties - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we simplify complex dashboards? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Complex dashboard with many options - Theory: Cognitive Load Theory (auto-suggested) - Evidence: User feedback indicates confusion and task abandonment - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve data visualization? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users struggle with complex data visualization - Theory: Cognitive Load Theory (auto-suggested) - Evidence: User testing revealed high task completion times - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we reduce interface complexity? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface overwhelms users - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Analytics show high bounce rates - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we address interface complexity? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Interface complexity issue - Theory: Cognitive Load Theory (auto-suggested) - Evidence: User research indicates problems - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we reduce user overwhelm? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Hick's Law (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Too many dropdown options overwhelm users - Theory: Hick's Law (auto-suggested) - Evidence: Users abandon tasks when faced with many choices - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: General usability issues - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Some user complaints - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve mobile interface usability? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Mobile interface is difficult to use - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Touch targets are too small - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Hick's Law (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users struggle with too many choices - Theory: Hick's Law (auto-suggested) - Evidence: Decision time is very long - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement bias mitigation strategies identified in the Anticipate stage * Monitor user behavior patterns to validate bias assumptions * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Dashboard simplified for quicker insights - Collaboration: Added team annotation features - Next steps: 11 items defined - Consider adding user empowerment tools to enhance collaboration v Found 8 bslib component suggestion for BID Validate stage v Found 9 shiny component suggestion for BID Validate stage Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement bias mitigation strategies identified in the Anticipate stage * Monitor user behavior patterns to validate bias assumptions * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Dashboard simplified for quicker insights - Collaboration: Added team annotation features - Next steps: 11 items defined - Consider adding user empowerment tools to enhance collaboration v Found 8 bslib component suggestion for BID Validate stage v Found 9 shiny component suggestion for BID Validate stage i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How to test error handling? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 v Found 2 bslib component suggestion for BID Validate stage v Found 6 shiny component suggestion for BID Validate stage i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Test evidence - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 3 - Total concepts: 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement bias mitigation strategies identified in the Anticipate stage * Monitor user behavior patterns to validate bias assumptions * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test summary - Collaboration: Test collaboration - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms Consider adding user empowerment tools to enhance collaboration v Found 8 bslib component suggestion for BID Validate stage v Found 9 shiny component suggestion for BID Validate stage v Found 8 bslib component suggestion for BID Validate stage v Found 9 shiny component suggestion for BID Validate stage i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Test evidence - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 3 - Total concepts: 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement bias mitigation strategies identified in the Anticipate stage * Monitor user behavior patterns to validate bias assumptions * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test summary - Collaboration: Test collaboration - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms Consider adding user empowerment tools to enhance collaboration v Found 8 bslib component suggestion for BID Validate stage v Found 9 shiny component suggestion for BID Validate stage v Found 8 bslib component suggestion for BID Validate stage v Found 9 shiny component suggestion for BID Validate stage v Found 8 bslib component suggestion for BID Validate stage v Found 9 shiny component suggestion for BID Validate stage v Found 2 bslib component suggestion for BID Validate stage v Found 6 shiny component suggestion for BID Validate stage Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 3 - Total concepts: 3 Stage 4 (Structure) completed. - Auto-selected layout: dual_process - Concept groups generated: 4 - Total concepts: 4 Stage 4 (Structure) completed. - Auto-selected layout: grid - Concept groups generated: 4 - Total concepts: 4 Stage 4 (Structure) completed. - Auto-selected layout: card - Concept groups generated: 4 - Total concepts: 4 Stage 4 (Structure) completed. - Auto-selected layout: tabs - Concept groups generated: 4 - Total concepts: 4 Stage 4 (Structure) completed. - Auto-selected layout: grid - Concept groups generated: 3 - Total concepts: 3 Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 3 - Total concepts: 3 Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 3 - Total concepts: 3 i Detected information overload patterns; choosing 'breathable' to reduce cognitive load. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 3 - Total concepts: 3 i Auto-selected layout: breathable i Detected information overload patterns; choosing 'breathable' to reduce cognitive load. Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 3 - Total concepts: 3 Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 4 - Total concepts: 4 Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 3 - Total concepts: 3 Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 3 - Total concepts: 3 Stage 4 (Structure) completed. - Auto-selected layout: dual_process - Concept groups generated: 3 - Total concepts: 3 Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 4 - Total concepts: 4 Stage 4 (Structure) completed. - Auto-selected layout: grid - Concept groups generated: 3 - Total concepts: 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we help users with complex data? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Users struggle with complex data - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we help users with complex data? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Users struggle with complex data - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: What is the test question? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Test evidence - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we help users with complex data? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Users struggle with complex data - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How to simplify the interface? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User feedback - Next: Use bid_anticipate() for Stage 3 Stage 1 (Interpret) completed. - Central question: How to simplify the interface? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 3 - Total concepts: 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we help users with test data? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Test evidence - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 v Found 1 DT component suggestion for BID Notice stage i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve visual hierarchy? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Users need better visual hierarchy - Theory: Visual Hierarchies - Evidence: User testing - Next: Use bid_anticipate() for Stage 3 i Suggested data story elements based on previous stage information Stage 1 (Interpret) completed. - Central question: How to improve visual organization? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined i Auto-selected layout: grid i Detected grouping and comparison needs; choosing 'grid' for related content organization. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: grid - Concept groups generated: 4 - Total concepts: 4 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve user feedback? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Test evidence - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Showing components ordered by relevance to your BID analysis i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How to organize content? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Visual Hierarchies (confidence: 85%) Stage 2 (Notice) completed. (40% complete) - Problem: Need better organization - Theory: Visual Hierarchies (auto-suggested) - Evidence: User feedback - Theory confidence: 85% - Next: Use bid_anticipate() for Stage 3 i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we test the database? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Test evidence - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can executive dashboard be simplified? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Executive dashboard needs simplification - Theory: Cognitive Load Theory - Evidence: Executive feedback - Next: Use bid_anticipate() for Stage 3 Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Dashboard simplified for quicker insights - Collaboration: Added team annotation features - Next steps: 11 items defined - Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested collaboration features: Enable team sharing and collaborative decision-making features i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration i Suggested summary panel: Dashboard provides clear summary of key insights with actionable recommendations i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Dashboard provides clear summary of key insight... - Collaboration: Test - Next steps: 11 items defined - Consider adding specific sharing or collaboration mechanisms Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 Stage 5 (Validate) completed. - Summary panel: Dashboard provides clear summary of key insight... - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 11 items defined - Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested collaboration features: Enable team sharing and collaborative decision-making features Stage 5 (Validate) completed. - Summary panel: Test summary - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 3 items defined - Ensure summary panel includes actionable insights Include user testing in your next steps Consider adding experimental design and A/B testing to your validation plan Include telemetry and monitoring in your post-launch validation Consider adding user empowerment tools to enhance collaboration i Suggested collaboration features: Enable team sharing and collaborative decision-making features Stage 5 (Validate) completed. - Summary panel: Test summary - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 1 items defined - Ensure summary panel includes actionable insights Consider adding more specific next steps for implementation Include user testing in your next steps Consider adding experimental design and A/B testing to your validation plan Include telemetry and monitoring in your post-launch validation Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested collaboration features: Enable team sharing and collaborative decision-making features i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Validate telemetry-identified issues with specific tracking: * Monitor clicks: button clicks * Monitor views: page views * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test summary - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 14 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test summary - Collaboration: Test collaboration - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms Consider adding user empowerment tools to enhance collaboration i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Minimal test - Collaboration: Minimal collaboration - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms Consider adding user empowerment tools to enhance collaboration i Suggested collaboration features: Enable team sharing and collaborative decision-making features i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test with incomplete data - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Dashboard analytics improved - Collaboration: Team sharing enabled - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Performance metrics dashboard - Collaboration: Real-time team updates - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: User behavior analytics - Collaboration: Collaborative insights sharing - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested collaboration features: Enable team sharing and collaborative decision-making features i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test with bid_stage - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration i Suggested collaboration features: Enable team sharing and collaborative decision-making features i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test with tibble - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Metadata test - Collaboration: Team features - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 Stage 5 (Validate) completed. - Summary panel: - Collaboration: - Next steps: 11 items defined - Define a clear summary panel to help users extract key insights Consider adding collaboration features to enable team decision-making Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested collaboration features: Enable team sharing and collaborative decision-making features i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Track specific metrics identified in telemetry analysis: click_through_rate, time_on_page * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Telemetry-informed summary - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 12 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration i Suggested collaboration features: Enable team sharing and collaborative decision-making features i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Validate telemetry-identified issues with specific tracking: * Monitor engagement: user engagement metrics * Monitor performance: page load times * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Advanced telemetry summary - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 14 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested collaboration features: Enable team sharing and collaborative decision-making features Stage 5 (Validate) completed. - Summary panel: Combined test - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 2 items defined - Ensure summary panel includes actionable insights Consider adding more specific next steps for implementation Include user testing in your next steps Consider adding experimental design and A/B testing to your validation plan Include telemetry and monitoring in your post-launch validation Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested collaboration features: Enable team sharing and collaborative decision-making features i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 8 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration i Suggested collaboration features: Enable team sharing and collaborative decision-making features i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 5 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Complex interface - Theory: Cognitive Load Theory - Evidence: User complaints - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Concept 'bias_type' not found Concept 'mitigation_strategy' not found Concept 'confidence_level' not found Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: Bias_type mitigation: Consider how this bias affects user decisions, Mitigation_strategy mitigation: Consider how this bias affects user decisions, Confidence_level mitigation: Consider how this bias affects user decisions i Auto-selected layout: breathable i Selected 'breathable' as safe default to ensure clean, uncluttered layout. i Tip: Learn more about any concept via bid_concept(""). Stage 4 (Structure) completed. - Auto-selected layout: breathable - Concept groups generated: 5 - Total concepts: 5 i Suggested collaboration features: Enable team sharing and collaborative decision-making features i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding user empowerment tools to enhance collaboration i Suggested collaboration features: Enable team sharing and collaborative decision-making features i Suggested next steps: * Conduct user testing with target audience to validate design decisions * Implement the structured layout with proper visual hierarchy * Test accessibility features across different devices and assistive technologies * Design A/B tests to validate key design decisions and user pathways * Conduct usability testing sessions with representative users * Plan controlled experiments to measure impact of bias mitigations * Implement telemetry tracking for user interactions and pain points * Set up monitoring dashboards to track key performance indicators * Plan post-launch telemetry analysis to validate design improvements * Document successful patterns and lessons learned for future projects * Plan iterative improvements based on user feedback and analytics Stage 5 (Validate) completed. - Summary panel: Test - Collaboration: Enable team sharing and collaborative decision-... - Next steps: 11 items defined - Ensure summary panel includes actionable insights Stage 1 (Interpret) completed. - Central question: How can we improve filtering usability? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Users abandon complex filter interface - Theory: Cognitive Load Theory - Evidence: 85% of users abandon filtering after 2+ selections - Next: Use bid_anticipate() for Stage 3 Stage 2 (Notice) completed. (40% complete) - Problem: Users abandon complex filter interface - Theory: Cognitive Load Theory - Evidence: 85% of users abandon filtering after 2+ selections - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How to improve UX? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Basic usability issue - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Severity level: medium - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Overridden problem description - Theory: Overridden Theory - Evidence: Severity level: low - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How to improve overall UX? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Critical navigation problem causing users to abandon work... - Theory: Navigation Theory - Evidence: Severity level: high - Next: Use bid_anticipate() for Stage 3 Stage 2 (Notice) completed. (40% complete) - Problem: Moderate layout issue affecting content readability and u... - Theory: Visual Hierarchy - Evidence: Severity level: medium - Next: Use bid_anticipate() for Stage 3 Stage 2 (Notice) completed. (40% complete) - Problem: Minor color contrast issue that may impact accessibility ... - Theory: Accessibility Theory - Evidence: Severity level: low - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test filtering? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: User interface navigation is problematic and causing conf... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Severity level: high - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How to address performance issues? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: System performance degradation - Theory: Performance Psychology - Evidence: Response time increased 300% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Pipeline test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Limiting to top 3 issues (out of 5 matched) Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Critical user interface problem affecting a functionality... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Severity level: critical - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Critical user interface problem affecting b functionality... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Severity level: high - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Critical user interface problem affecting c functionality... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Severity level: high - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Empty test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Filter validation test - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined i Reading telemetry data from json file... i Reading telemetry data from json file... i Reading telemetry data from json file... Stage 1 (Interpret) completed. - Central question: Complex test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined i Detected 1 concepts from general description: Visual Hierarchy i Detected 1 concepts from general description: Visual Hierarchy Returning all 41 concepts Found 1 concept(s) matching 'proximity' No concepts found matching 'nonexistent_concept_xyz' No concepts found matching 'proximty' No concepts found matching 'proximty' No concepts found matching 'proximty' No concepts found matching 'proximty' Returning all 41 concepts Concept 'nonexistent_concept_xyz' not found Returning all 41 concepts Returning all 41 concepts No concepts found matching 'test!@#$%' No concepts found matching 'aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa' Returning all 41 concepts Please provide a concept name Concept 'aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa' not found Concept 'test!@#$%' not found Returning all 41 concepts i Tip: Learn more about any concept via bid_concept(""). i Reading telemetry data from json file... i Reading telemetry data from json file... i Analyzing 6 events from 3 sessions... i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we reduce user interaction delays? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users take a long time before making their first interact... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Median time to first input is 22 seconds, and 33% of sess... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we reduce user errors and confusion? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users encounter errors when using the dashboard - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Error 'timeout' occurred 1 times in 33% of sessions (in o... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 ! Identified 2 potential UX issues from telemetry analysis i Reading telemetry data from json file... i Analyzing 2 events from 1 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Reading telemetry data from json file... i Analyzing 2 events from 1 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Reading telemetry data from json file... i Analyzing 2 events from 1 sessions... v No significant UX issues identified from telemetry. All tracked inputs were used and no systematic problems detected. i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve user interaction with unused inputs? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users are not interacting with the 'unused_filter' input ... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Telemetry shows 0 out of 100 sessions where 'unused_filte... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve user interaction with unused inputs? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users are not interacting with the 'filter_button' input ... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Only 5 out of 100 sessions (5.0%) interacted with 'filter... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we reduce user interaction delays? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users take a long time before making their first interact... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Median time to first input is 46 seconds, and 15% of sess... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we reduce user interaction delays? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users take a long time before making their first interact... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: 20% of sessions had no interactions at all - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we reduce user errors and confusion? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users encounter errors when using the dashboard - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Error 'Database connection failed unexpectedly during ...... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we reduce user errors and confusion? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users encounter errors when using the dashboard - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Error 'Unknown error' occurred 10 times in 10% of sessions - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve user navigation flow? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: The 'Advanced Settings' page/tab is rarely visited by users - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Only 12 sessions (8.0%) visited 'Advanced Settings', and ... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve user navigation flow? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: The 'Dashboard' page/tab is rarely visited by users - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Only 25 sessions (15.0%) visited 'Dashboard' - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve user navigation flow? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Users show signs of confusion when interacting with 'date... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: 18 sessions showed rapid repeated changes (avg 5 changes ... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Information Scent (confidence: 80%) Stage 2 (Notice) completed. (40% complete) - Problem: Users struggle with navigation - Theory: Information Scent (auto-suggested) - Evidence: 50% abandon the page - Theory confidence: 80% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Error rates are high - Theory: Cognitive Load Theory (auto-suggested) - Evidence: 30% encounter errors - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 -- BID Telemetry Issues Summary -- v No telemetry issues detected All tracked inputs are being used and no systematic problems found. -------------------------------------------------------------------------------- Usage: Use `as_tibble()` for tidy analysis, `bid_flags()` for flags Legacy: Access as list for backward compatibility: `issues[[1]]`, `length(issues)` Created: 2025-10-28 22:47:32 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we address telemetry-identified issues systematicall... - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question is appropriately scoped. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Severity level: medium - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Affects 42 user sessions, Impact rate: 35%, Severity leve... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Information Scent (confidence: 80%) Stage 2 (Notice) completed. (40% complete) - Problem: Navigation problem - Theory: Information Scent (auto-suggested) - Evidence: Telemetry analysis identified this issue - Theory confidence: 80% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Problem 1 - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Impact rate: 50%, Severity level: critical - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Problem 3 - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Impact rate: 40%, Severity level: critical - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Problem 5 - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Impact rate: 30%, Severity level: critical - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Critical problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Impact rate: 35%, Severity level: critical - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: High problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Impact rate: 15%, Severity level: high - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Low problem - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Impact rate: 2%, Severity level: low - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Pipeline? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Limiting to top 3 issues (out of 5 matched) Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Problem b - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Impact rate: 40%, Severity level: critical - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Problem e - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Impact rate: 25%, Severity level: high - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Problem c - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Impact rate: 20%, Severity level: high - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test? - Your data story is incomplete (25%). Consider adding these missing elements: hook, tension, resolution. - Your central question might benefit from more specificity. - No user personas defined Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: High severity - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Severity level: high - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Auto-suggested theory: Cognitive Load Theory (confidence: 90%) Stage 2 (Notice) completed. (40% complete) - Problem: Low severity - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Severity level: low - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i test message i Detected 1 concepts from general description: Visual Hierarchy [ FAIL 0 | WARN 222 | SKIP 0 | PASS 1899 ] [ FAIL 0 | WARN 222 | SKIP 0 | PASS 1899 ] > > proc.time() user system elapsed 38.70 6.87 44.03