R Under development (unstable) (2025-09-04 r88794 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) > library(stringr) > > test_check("bidux") Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is taking shape (50%). Consider adding: 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. Found partial match: Anchoring Effect Found partial match: Framing & Loss Aversion 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: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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 taking shape (50%). Consider adding: 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. 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 taking shape (50%). Consider adding: 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. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation 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 taking shape (50%). Consider adding: 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. 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 taking shape (50%). Consider adding: 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: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation 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: Test question - 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 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Test Theory - Evidence: Test evidence - 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. i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - 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 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Test Theory - Evidence: Test evidence - 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. i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - 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 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Test Theory - Evidence: Test evidence - 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. i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - 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 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Test Theory - Evidence: Test evidence - 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. i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - 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 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Test Theory - Evidence: Test evidence - 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: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. Added accessibility mitigation based on layout context. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation Added accessibility mitigation based on layout context. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - 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 2 (Notice) completed. (40% complete) - Problem: Test problem - Theory: Test Theory - Evidence: Test evidence - Next: Use bid_anticipate() for Stage 3 Added accessibility mitigation based on layout context. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation Stage 3 (Anticipate) completed. - Bias mitigations: 1 defined - Accessibility considerations not included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., Consider also addressing these common biases: framing, confirmation Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation Added accessibility mitigation based on layout context. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation Stage 3 (Anticipate) completed. - Bias mitigations: 3 defined - Accessibility considerations included - Key suggestions: framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing., anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. Stage 3 (Anticipate) completed. - Bias mitigations: 3 defined - Accessibility considerations included - Key suggestions: attention bias mitigation: Consider how this bias affects user decisions., belief perseverance mitigation: Proactively show content that might disprove initial assumptions., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. Stage 3 (Anticipate) completed. - Bias mitigations: 3 defined - Accessibility considerations included - Key suggestions: association bias mitigation: Consider how this bias affects user decisions., clustering illusion mitigation: Consider how this bias affects user decisions., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. Stage 3 (Anticipate) completed. - Bias mitigations: 3 defined - Accessibility considerations included - Key suggestions: status quo bias mitigation: Consider how this bias affects user decisions., choice architecture mitigation: Consider how this bias affects user decisions., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. Stage 3 (Anticipate) completed. - Bias mitigations: 3 defined - Accessibility considerations included - Key suggestions: beautiful-is-good stereotype mitigation: Pay attention to polish in summary cards with clear typography and spacing., halo effect mitigation: Consider how this bias affects user decisions., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. Stage 3 (Anticipate) completed. - Bias mitigations: 3 defined - Accessibility considerations included - Key suggestions: availability bias mitigation: Consider how this bias affects user decisions., prominence effect mitigation: Consider how this bias affects user decisions., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing., anchoring mitigation: Always show reference points like previous period, budget, or industry average., 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: 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: 5 defined - Accessibility considerations included - Key suggestions: beautiful-is-good stereotype mitigation: Pay attention to polish in summary cards with clear typography and spacing., 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. Stage 3 (Anticipate) completed. - Bias mitigations: 5 defined - Accessibility considerations included - Key suggestions: availability bias mitigation: Consider how this bias affects user decisions., 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. Stage 3 (Anticipate) completed. - Bias mitigations: 5 defined - Accessibility considerations included - Key suggestions: cognitive load mitigation: Use tabs or collapsible sections to organize complex information., 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. Added accessibility mitigation based on layout context. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation Added accessibility mitigation based on layout context. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation Added accessibility mitigation based on layout context. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation Stage 1 (Interpret) completed. - Central question: How to improve layout? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 2 (Notice) completed. (40% complete) - Problem: Layout issues - Theory: Cognitive Load Theory - Evidence: Test evidence - Next: Use bid_anticipate() for Stage 3 Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation 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 3 (Anticipate) completed. - Bias mitigations: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. Stage 3 (Anticipate) completed. - Bias mitigations: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation Stage 3 (Anticipate) completed. - Bias mitigations: 7 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: 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: 5 defined - Accessibility considerations included - Key suggestions: framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing., anchoring mitigation: Always show reference points like previous period, budget, or industry average., attention bias mitigation: Consider how this bias affects user decisions. 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 mitigation: Include alternative views that might challenge the main narrative. Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: Anchoring Effect mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: anchoring, framing, confirmation Stage 3 (Anticipate) completed. - Bias mitigations: 3 defined - Accessibility considerations included - Key suggestions: UnknownBias123 mitigation: Consider how this bias affects user decisions., CustomBias mitigation: Consider how this bias affects user decisions., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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. 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. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation 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: 6 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., confirmation bias mitigation: Include alternative views that might challenge the main narrative., availability bias mitigation: Consider how this bias affects user decisions. Stage 3 (Anticipate) completed. - Bias mitigations: 1 defined - Accessibility considerations not included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., Consider also addressing these common biases: framing, confirmation Added accessibility mitigation based on layout context. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation Stage 3 (Anticipate) completed. - Bias mitigations: 4 defined - Accessibility considerations included - Key suggestions: framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing., anchoring mitigation: Always show reference points like previous period, budget, or industry average., 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: framing mitigation: Toggle between progress (65% complete) and gap (35% remaining) framing., anchoring mitigation: Always show reference points like previous period, budget, or industry average., confirmation bias mitigation: Include alternative views that might challenge the main narrative. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation 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... Stage 1 (Interpret) completed. - Central question: How can we improve user interaction with unused inputs? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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 'input2' input control - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Only 1 out of 2 sessions (50.0%) interacted with 'input2' - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Stage 1 (Interpret) completed. - Central question: How can we reduce user interaction delays? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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 60 seconds, and 50% of sess... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Stage 1 (Interpret) completed. - Central question: How can we reduce user errors and confusion? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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 2 times in 100% of ses... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Stage 1 (Interpret) completed. - Central question: How can we improve user navigation flow? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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 'settings_tab' page/tab is rarely visited by users - Theory: Cognitive Load Theory (auto-suggested) - Evidence: Only 1 sessions (50.0%) visited 'settings_tab', and 100% ... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Stage 1 (Interpret) completed. - Central question: How can we reduce user interaction delays? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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 1 seconds, and 33% of sessi... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Stage 1 (Interpret) completed. - Central question: How can we improve user navigation flow? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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 'conf... - Theory: Cognitive Load Theory (auto-suggested) - Evidence: 2 sessions showed rapid repeated changes (avg 5 changes i... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 Stage 1 (Interpret) completed. - Central question: How can we reduce user interaction delays? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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 5 seconds, and 50% of sessi... - Theory confidence: 90% - Next: Use bid_anticipate() for Stage 3 i Reading telemetry data from json file... i Reading telemetry data from json file... i Reading telemetry data from sqlite file... i Reading telemetry data from sqlite file... 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 has all key elements. Focus on making each component compelling and relevant. - 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 can we reduce user interaction delays? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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 can we reduce user errors and confusion? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined i Suggested generic data story for new dashboard design i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: What is causing data complexity issues? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: How can we improve visual hierarchy to address Users struggl... - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - User personas: 1 defined Stage 1 (Interpret) completed. - Central question: How can we simplify the dashboard? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: Test question - Your data story is taking shape (50%). Consider adding: 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 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 question - 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 Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - 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: 1 defined i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - 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 Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: Test question - 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: 2 defined Stage 1 (Interpret) completed. - Central question: How can we handle missing data? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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: Test question - 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: 2 defined Stage 1 (Interpret) completed. - Central question: How can we address the data complexity? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - User personas: 1 defined Stage 1 (Interpret) completed. - Central question: How can we simplify the interface to address Users struggle ... - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: How can we improve the speed and efficiency of user interact... - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: How can we reduce cognitive load and help users focus on wha... - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: How can we simplify the interface to address Everything is v... - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: How can we reduce cognitive load to address Users are overwh... - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: How can we simplify choices to address Too many choices conf... - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: How can we improve visual hierarchy to address Information l... - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: How can we refine our understanding of user needs for this d... - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: How can we refine our understanding of user needs for this d... - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (0%). Consider adding these missing elements: hook, context, tension, resolution. - Your central question might benefit from more specificity. - User personas: 1 defined Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (0%). Consider adding these missing elements: hook, context, tension, resolution. - Your central question might benefit from more specificity. - User personas: 1 defined Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (0%). Consider adding these missing elements: hook, context, tension, resolution. - Your central question might benefit from more specificity. - User personas: 1 defined Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (0%). Consider adding these missing elements: hook, context, tension, resolution. - Your central question might benefit from more specificity. - User personas: 1 defined Stage 1 (Interpret) completed. - Central question: Test question - Your data story is incomplete (0%). Consider adding these missing elements: hook, context, tension, resolution. - Your central question might benefit from more specificity. - User personas: 1 defined Stage 1 (Interpret) completed. - Central question: Test question - 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 question - 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 question - 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: How? - 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: Very long question that exceeds the recommended character li... - Your data story has all key elements. Focus on making each component compelling and relevant. - Consider simplifying your central question for more focus. - No user personas defined Stage 1 (Interpret) completed. - Central question: How can we improve user experience with better design? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - No user personas defined Stage 1 (Interpret) completed. - Central question: How can we improve layout clarity? - Your data story has all key elements. Focus on making each component compelling and relevant. - Your central question is appropriately scoped. - User personas: 1 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: 2025-09-07 20:02:08 -- 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: 2025-09-07 20:02:08 Stage 1 (Interpret) completed. - Central question: How can we reduce user errors and confusion? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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: 2025-09-07 20:02:09 i Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve dashboard navigation? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 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 Suggested generic data story for new dashboard design Stage 1 (Interpret) completed. - Central question: How can we improve user experience? - Your data story has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 taking shape (50%). Consider adding: 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. Found partial match: Anchoring Effect Found partial match: Framing & Loss Aversion Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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 taking shape (50%). Consider adding: 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. Found partial match: Anchoring Effect Found partial match: Framing & Loss Aversion Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation 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 has all key elements. Focus on making each component compelling and relevant. - 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. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 taking shape (50%). Consider adding: 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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 taking shape (50%). Consider adding: 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. Found partial match: Anchoring Effect Found partial match: Framing & Loss Aversion Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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 taking shape (50%). Consider adding: 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. Found partial match: Anchoring Effect Found partial match: Framing & Loss Aversion Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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 taking shape (50%). Consider adding: 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. Found partial match: Anchoring Effect Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 2 defined - Accessibility considerations included - Key suggestions: anchoring mitigation: Always show reference points like previous period, budget, or industry average., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards., Consider also addressing these common biases: framing, confirmation 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 summary panel: Dashboard provides clear summary of key insights with actionable recommendations 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 * 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: Enable team sharing and collaborative decision-... - Next steps: 8 items defined - Validation stage is well-defined. Focus on implementation and user testing. Stage 1 (Interpret) completed. - Central question: How to simplify? - Your data story is taking shape (50%). Consider adding: 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. Found partial match: Anchoring Effect Found partial match: Framing & Loss Aversion Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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 improved - Collaboration: Added 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 taking shape (50%). Consider adding: 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. Found partial match: Anchoring Effect Found partial match: Framing & Loss Aversion Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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: 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 taking shape (50%). Consider adding: 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. Found partial match: Anchoring Effect Found partial match: Framing & Loss Aversion Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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: Test summary - 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 taking shape (50%). Consider adding: 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. Found partial match: Anchoring Effect Found partial match: Framing & Loss Aversion Found partial match: Accessibility Contrast Stage 3 (Anticipate) completed. - Bias mitigations: 3 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., accessibility mitigation: Test color combinations with WebAIM's contrast checker to meet WCAG standards. 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: 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 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 Ensure bias mitigation strategies from Anticipate stage are documented Consider adding user empowerment tools to enhance collaboration Stage 5 (Validate) completed. - Summary panel: Test summary - Collaboration: Test collaboration - Next steps: 4 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms 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 5 (Validate) completed. - Summary panel: Test summary - Collaboration: Test collaboration - Next steps: 3 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms 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 5 (Validate) completed. - Summary panel: Test summary - Collaboration: Test collaboration - Next steps: 3 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms 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 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: Too short - 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 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: This is a very detailed summary that contains e... - Collaboration: Test collaboration - Next steps: 11 items defined - Consider simplifying the summary panel description for clarity 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 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: Basic features only - 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 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 Stage 5 (Validate) completed. - Summary panel: Summary - Collaboration: Executive-focused collaboration with summary sh... - Next steps: 11 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms Stage 5 (Validate) completed. - Summary panel: Summary - Collaboration: Advanced collaboration tools including data exp... - Next steps: 11 items defined - Ensure summary panel includes actionable insights Stage 5 (Validate) completed. - Summary panel: Brief summary - Collaboration: Basic sharing - Next steps: 1 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms 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 5 (Validate) completed. - Summary panel: Comparative summary showing key differences and... - Collaboration: x - 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 5 (Validate) completed. - Summary panel: Time-based summary panel showing trends and for... - Collaboration: x - 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 5 (Validate) completed. - Summary panel: Summary panel with clear navigation paths to de... - Collaboration: x - Next steps: 10 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms Consider adding user empowerment tools to enhance collaboration Stage 5 (Validate) completed. - Summary panel: Visually hierarchical summary panel with clear ... - Collaboration: x - Next steps: 9 items defined - Ensure summary panel includes actionable insights Consider adding specific sharing or collaboration mechanisms Consider adding user empowerment tools to enhance collaboration Stage 5 (Validate) completed. - Summary panel: S - Collaboration: Structured collaboration workflows that enhance... - 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 can we improve filtering usability? - Your data story is taking shape (50%). Consider adding: 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 has all key elements. Focus on making each component compelling and relevant. - 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: Telemetry issue detected - 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 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 2 (Notice) completed. (40% complete) - Problem: Overridden problem description - Theory: Overridden Theory - Evidence: Telemetry issue detected - 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 has all key elements. Focus on making each component compelling and relevant. - 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: Telemetry issue detected - 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: Telemetry issue detected - 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: Telemetry issue detected - 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 has all key elements. Focus on making each component compelling and relevant. - 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: Telemetry issue detected - 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 has all key elements. Focus on making each component compelling and relevant. - 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 has all key elements. Focus on making each component compelling and relevant. - 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: Telemetry issue detected - 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: Telemetry issue detected - 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: Telemetry issue detected - 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 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 Tip: Learn more about any concept via bid_concept(""). i Detected 1 concepts from general description: Visual Hierarchy [ FAIL 0 | WARN 0 | SKIP 0 | PASS 1476 ] > > proc.time() user system elapsed 24.73 5.03 28.46