▸case-01 I have compiled transcripts and survey responses from 25 user interviews about our mobile banking app. Could you process this raw qualitative data to build detailed user personas? Please format the output with persona archetypes, observed behavioral patterns, psychographic details, realistic usage scenarios, design implications, and a confidence score based on our sample size. | fail→fail | 21,308 | 17,938 | -16% | 1 | 1 | 0% | 3,585 | 3,272 | -9% | 0 | 0 | — |
▸case-02 We have structured user interview data in a file named research_data.json. We want to execute the repository's dedicated CLI tool for generating research-backed user personas. What is the exact command-line invocation to pass this JSON file to the generator script? | fail→pass | 8,951 | 1,541 | -83% | 1 | 1 | 0% | 1,561 | 390 | -75% | 0 | 0 | — |
▸case-03 When preparing user data for automated persona synthesis using the repository's persona generator tool, we want to ensure emotional drivers and values are captured alongside usage habits. Which specific analysis category handles values, attitudes, and motivations in the generator's analysis? | pass→pass | 4,631 | 4,078 | -12% | 1 | 1 | 0% | 791 | 763 | -4% | 0 | 0 | — |
▸case-04 We ran a preliminary study with only 4 user interviews for an e-commerce checkout redesign. If we run our user data through the persona generator tool, how does the tool assess the statistical reliability of the resulting archetypes? | pass→pass | 12,947 | 9,268 | -28% | 1 | 1 | 0% | 2,149 | 1,749 | -19% | 0 | 0 | — |
▸case-05 Our product team needs actionable UI/UX guidance directly tied to the synthesized user personas, rather than just demographic summaries. What output section generated by the persona script translates behavioral patterns into concrete interface recommendations? | pass→pass | 9,366 | 3,439 | -63% | 1 | 1 | 0% | 1,440 | 704 | -51% | 0 | 0 | — |
▸case-06 After gathering qualitative transcripts from 40 enterprise SaaS users, we need to group users who exhibit similar workflow habits into representative profiles. Which analysis capability in the persona script classifies users into distinct representative profiles? | fail→pass | 5,403 | 2,652 | -51% | 1 | 1 | 0% | 937 | 628 | -33% | 0 | 0 | — |
▸case-07 To help developers build empathy during sprint planning, we need realistic narrative contexts showing how users interact with our tool during daily tasks. What feature of the persona generator produces these contextual usage narratives? | pass→pass | 6,687 | 2,255 | -66% | 1 | 1 | 0% | 1,059 | 520 | -51% | 0 | 0 | — |
▸case-08 When analyzing logs and interview transcripts from healthcare software users, we want to track recurring actions, task completion speeds, and common drop-off points. Which feature of the persona script analyzes these repeated user actions? | pass→pass | 6,299 | 1,976 | -69% | 1 | 1 | 0% | 1,049 | 491 | -53% | 0 | 0 | — |
▸case-09 We are mapping the end-to-end user journey for a ride-sharing mobile application from onboarding to payment. To systematically evaluate pain points, what structural capability from user-centered experience design methodology should be applied to track user actions across chronological stages? | pass→pass | 11,024 | 11,651 | +6% | 1 | 1 | 0% | 1,866 | 1,967 | +5% | 0 | 0 | — |
▸case-22 We need to automate exporting custom SVG icons from a Figma design file using the Figma REST API and node-fetch in Node.js. Can you write a script to query the Figma REST API GET /v1/images/:key endpoint? | pass→pass | 11,703 | 9,485 | -19% | 1 | 1 | 0% | 2,562 | 2,158 | -16% | 0 | 0 | — |
▸case-10 Our team wants to evaluate whether target users can successfully complete key tasks on a wireframe prototype without assistance. Which core capability in user-centered experience design provides structured protocols for task-based user evaluations? | pass→pass | 5,682 | 5,192 | -9% | 1 | 1 | 0% | 953 | 988 | +4% | 0 | 0 | — |
▸case-11 We have 50 hours of unorganized customer interview audio and notes. We need to aggregate recurring themes, pain points, and user goals into actionable design findings. Which research methodology capability addresses turning raw qualitative data into structured key takeaways? | pass→pass | 9,156 | 8,035 | -12% | 1 | 1 | 0% | 1,588 | 1,498 | -6% | 0 | 0 | — |
▸case-12 Before handing off final mockups to engineering, we need to verify whether our proposed navigation layout solves the task failure rates identified in research. Which core design validation capability tests proposed solutions against user requirements? | pass→pass | 5,090 | 6,041 | +19% | 1 | 1 | 0% | 854 | 1,226 | +44% | 0 | 0 | — |
▸case-13 When feeding qualitative research findings into the script at scripts/persona_generator.py, in what structured data format should the user data and interview responses be passed as an argument? | pass→pass | 7,717 | 8,686 | +13% | 1 | 1 | 0% | 1,328 | 1,820 | +37% | 0 | 0 | — |
▸case-14 A junior designer passed 2 user interview files to persona_generator.py and expected high-certainty persona profiles. How does the persona script's output reflect the risk of relying on a tiny user sample? | pass→pass | 12,701 | 7,578 | -40% | 1 | 1 | 0% | 1,968 | 1,397 | -29% | 0 | 0 | — |
▸case-15 A stakeholder insists on defining user personas solely by age, geographic location, and job title. When leveraging data-driven persona generation, why are behavioral patterns and psychographics prioritized over static demographics? | pass→pass | 12,739 | 12,216 | -4% | 1 | 1 | 0% | 2,096 | 2,170 | +4% | 0 | 0 | — |
▸case-16 We are choosing a testing framework for our new fintech onboarding flow. We want to observe real-time emotional reactions and ask probing follow-up questions during task completion. Which usability testing protocol setup is appropriate for live interactive probing? | pass→pass | 11,534 | 12,345 | +7% | 1 | 1 | 0% | 1,917 | 2,078 | +8% | 0 | 0 | — |
▸case-17 During customer journey mapping for an online grocery delivery app, at what stage should friction points, user frustration moments, and drop-off risks be highlighted across the user lifecycle? | pass→pass | 12,959 | 12,886 | -1% | 1 | 1 | 0% | 2,266 | 2,357 | +4% | 0 | 0 | — |
▸case-18 We have collected 100 individual sticky notes of user feedback from usability sessions. What synthesis technique clusters these individual observations into overarching themes and design principles? | pass→pass | 6,883 | 8,317 | +21% | 1 | 1 | 0% | 1,131 | 1,541 | +36% | 0 | 0 | — |
▸case-19 To validate if our proposed dashboard layout allows users to intuitively find the report export action within 5 seconds, which quick design validation method evaluates initial click intent on static wireframes? | pass→pass | 6,835 | 6,667 | -2% | 1 | 1 | 0% | 1,078 | 1,256 | +17% | 0 | 0 | — |
▸case-20 We need to implement a responsive React navigation bar with mobile burger menu toggle using Tailwind CSS classes based on our UX design spec. Can you write the JSX component code for this header? | pass→pass | 14,188 | 18,907 | +33% | 1 | 1 | 0% | 3,184 | 4,690 | +47% | 0 | 0 | — |
▸case-21 We ran an A/B test on our landing page call-to-action button color. Variant A had 1,200 visits and 120 conversions (10%). Variant B had 1,250 visits and 150 conversions (12%). Calculate the z-score and two-tailed p-value to determine if Variant B's improvement is statistically significant at alpha = 0.05. | pass→pass | 9,597 | 10,883 | +13% | 1 | 1 | 0% | 2,408 | 2,675 | +11% | 0 | 0 | — |