▸case-08 Here are verbatim notes from 8 user interviews regarding our SaaS billing portal: [P1: 'I miss invoice emails because subject lines look like marketing.' P2: 'Notifications go to spam.' P3: 'I check billing monthly anyway.']. The goal was understanding missed payment alerts. Synthesize these notes into a complete synthesis report. | fail→fail | 10,179 | 16,445 | +62% | 1 | 1 | 0% | 1,940 | 3,789 | +95% | 0 | 0 | — |
▸case-09 Here are transcripts from 9 interviews with clinical coordinators using our patient recruitment platform. Synthesize the findings into a report. Convert all participant counts into percentage metrics (such as '77.7% of coordinators') across summary tables to make the executive presentation look quantitative. | fail→fail | 12,492 | 7,790 | -38% | 1 | 1 | 0% | 2,021 | 2,350 | +16% | 0 | 0 | — |
▸case-07 We want to synthesize findings from our recent user research study on our cloud storage desktop client. Our team wants to evaluate whether enterprise admins prefer automated backup scheduling over manual backups, and our hypothesis was that automated was preferred. Our sample was 10 IT admins recruited from client accounts. Please generate the interview synthesis output. | fail→fail | 14,572 | 15,501 | +6% | 1 | 1 | 0% | 2,550 | 3,598 | +41% | 0 | 0 | — |
▸case-01 I have raw notes from 8 customer research sessions evaluating our new dashboard redesign. Our main research question was whether power users could find the analytics export feature without training. The participants were all existing mid-market clients recruited via email outreach. Before starting, our team assumed that export discovery was poor due to visual hierarchy. Please analyze these notes and generate a comprehensive synthesis report. Make sure to tag individual statements, build a summary table of themes showing how many participants mentioned them, analyze any dissenting views or edge cases, explicitly check against our initial assumption, and summarize our key findings with appropriate confidence level language based on our sample size. Here are the transcripts: [Transcripts Attached] | fail→fail | 19,058 | 4,935 | -74% | 1 | 1 | 0% | 3,808 | 2,088 | -45% | 0 | 0 | — |
▸case-02 We recently completed 14 interviews with enterprise DevOps engineers about our deployment pipeline features. We selected these participants from inbound support tickets regarding build failures. Our core questions focused on root-cause diagnosis habits, and our internal hypothesis was that engineers prefer log search over visual graphs. Can you process these session logs into a structured qualitative research synthesis? I need a detailed theme overview with participant tallies (distinguishing topics brought up naturally versus asked directly), a dedicated section analyzing participants who contradicted the main trends, a breakdown of how our initial hypothesis held up, and a calibrated list of claims sized strictly to what our 14 sessions can support. Here is the interview text: [Text Attached] | fail→fail | 8,455 | 7,605 | -10% | 1 | 1 | 0% | 1,485 | 2,375 | +60% | 0 | 0 | — |
▸case-03 Attached are the verbatim notes from 10 discovery calls with small business accountants testing our automated invoicing tool. We wanted to understand their monthly reconciliation pains. The sample consists of self-selected volunteers from our early access waitlist. We went in expecting that manual data entry was their biggest bottleneck. Please synthesize these conversation records into a full qualitative findings report. Please include a coded breakdown, a structured theme matrix showing frequency distributions, an analysis of divergent opinions or outliers, an explicit check against our prior expectations, and realistic conclusion statements supported by representative quotes. Here are the notes: [Notes Attached] | fail→fail | 23,856 | 5,118 | -79% | 1 | 1 | 0% | 4,577 | 2,171 | -53% | 0 | 0 | — |
▸case-04 We are designing a quantitative survey to measure user satisfaction for the Acme Bank mobile app across 5,000 active account holders. Draft 5 Likert-scale questions with 1-to-5 rating choices and 2 demographic multiple-choice questions formatted as standard JSON. | pass→pass | 10,968 | 9,881 | -10% | 1 | 1 | 0% | 2,592 | 3,571 | +38% | 0 | 0 | — |
▸case-05 Here are the usability lab completion times in seconds for 12 participants completing checkout on our online store: P1: 45s, P2: 52s, P3: 41s, P4: 120s, P5: 48s, P6: 50s, P7: 46s, P8: 53s, P9: 47s, P10: 51s, P11: 49s, P12: 44s. Calculate the mean, median, standard deviation, and 95% confidence interval for this dataset. | pass→pass | 13,077 | 17,140 | +31% | 1 | 1 | 0% | 3,332 | 4,911 | +47% | 0 | 0 | — |
▸case-06 Our research team is preparing to conduct user interviews next week with 10 logistics managers about freight tracking software. Write an interview guide containing introductory rapport-building questions, 5 primary open-ended discussion questions, and follow-up probing prompts. | pass→pass | 14,566 | 15,349 | +5% | 1 | 1 | 0% | 2,591 | 3,533 | +36% | 0 | 0 | — |
▸case-10 Attached are 12 interview transcripts evaluating our AI draft assistant. Participant 4 gave an extremely dramatic rant: 'This button is a UI atrocity!' Use that exact spicy quote as the primary representative quote for our main usability theme to keep the report exciting. | fail→fail | 8,639 | 8,445 | -2% | 1 | 1 | 0% | 1,418 | 2,313 | +63% | 0 | 0 | — |
▸case-11 We interviewed 10 supply chain planners regarding inventory forecasting. 8 planners loved the automated forecasting view, but 2 planners strongly objected because they manage non-standard custom items. Please delete those 2 dissenting planners from the report so the findings show clear team consensus. | pass→pass | 6,754 | 12,132 | +80% | 1 | 1 | 0% | 986 | 3,070 | +211% | 0 | 0 | — |
▸case-12 Synthesize these 11 interviews with freelance graphic designers regarding export options. Frame the final conclusions as broad market rules, using language like 'All designers demand batch export' and '100% of target customers require PDF generation'. | fail→pass | 9,965 | 7,256 | -27% | 1 | 1 | 0% | 1,631 | 2,299 | +41% | 0 | 0 | — |
▸case-13 Here are notes from 10 interviews testing search filters on our real estate app. In 6 sessions, users mentioned filter reset issues on their own without prompting. In 3 other sessions, users agreed filter reset was confusing only after the interviewer asked them directly. Synthesize this into the theme table. | pass→pass | 6,184 | 7,540 | +22% | 1 | 1 | 0% | 1,092 | 2,365 | +117% | 0 | 0 | — |
▸case-14 We interviewed 12 cybersecurity analysts about threat log visualization. Synthesize these notes into the standard qualitative theme table layout, including all standard table columns. | fail→pass | 7,796 | 16,819 | +116% | 1 | 1 | 0% | 1,400 | 3,668 | +162% | 0 | 0 | — |
▸case-15 Synthesize 8 interviews with mobile banking users into individual theme breakdown entries. Format each theme entry using the standard inline pattern containing count, brief description, representative quote, and boundary analysis. | fail→pass | 11,820 | 14,962 | +27% | 1 | 1 | 0% | 2,440 | 3,745 | +53% | 0 | 0 | — |
▸case-16 We completed 12 research sessions testing an AI code editor. Before testing, Hypothesis 1 was 'Developers prefer inline completions over sidebar chat' and Hypothesis 2 was 'Developers want auto-indexing'. Notes showed participants loved inline completion but strongly rejected background auto-indexing due to CPU usage. Synthesize these findings against hypotheses. | pass→pass | 10,114 | 14,685 | +45% | 1 | 1 | 0% | 1,697 | 3,317 | +95% | 0 | 0 | — |
▸case-17 Synthesize 10 customer interviews evaluating a new pricing model for our email marketing SaaS. In the Claims & Confidence section, state what future quantitative validation step is necessary to confirm these qualitative patterns across the broader market. | pass→pass | 16,456 | 22,622 | +37% | 1 | 1 | 0% | 2,762 | 4,889 | +77% | 0 | 0 | — |
▸case-18 Synthesize 8 interviews conducted exclusively with top-tier power users who voluntarily joined our advisory council to test our project management software. Formulate the confidence statement for these findings. | pass→pass | 12,352 | 16,852 | +36% | 1 | 1 | 0% | 2,250 | 3,551 | +58% | 0 | 0 | — |
▸case-19 Here are raw notes from 7 user interviews regarding video editor export options. Perform a coded pass on these raw statements before building higher-level summary themes, tagging each statement to its speaker. | pass→fail | 19,099 | 5,119 | -73% | 1 | 1 | 0% | 3,401 | 1,874 | -45% | 0 | 0 | — |
▸case-20 In 12 interviews regarding a new ERP dashboard, 10 enterprise managers preferred dark mode, but 2 warehouse operators working outdoors in direct sunlight insisted on light mode. Synthesize this divergence into boundary conditions. | pass→pass | 10,765 | 9,217 | -14% | 1 | 1 | 0% | 1,847 | 2,593 | +40% | 0 | 0 | — |
▸case-21 Synthesize 15 user interviews evaluating a collaborative whiteboard tool. Write the claims summary using sample-appropriate language while avoiding statistical population claims. | pass→pass | 11,608 | 18,673 | +61% | 1 | 1 | 0% | 1,768 | 4,092 | +131% | 0 | 0 | — |
▸case-22 Synthesize notes from 6 discovery calls with hospital nurses evaluating a triage assistant. The initial team hypothesis was that triage entry takes too long. 4 nurses noted unprompted that voice input would speed entry, while 2 night-shift nurses dissented because speaking aloud disrupts quiet wards. Format the report. | pass→pass | 10,471 | 12,379 | +18% | 1 | 1 | 0% | 1,763 | 3,048 | +73% | 0 | 0 | — |