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User research and insight synthesis for interviews, usability testing, personas, journey mapping, and actionable product/design recommendations.
Passed 16 of 22 test cases with the skill, and 4 of 22 without it.
and 14 more in the full report
14 fixed2 passed either way4 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
I'm looking to investigate why trial users fail to complete our enterprise SaaS onboarding setup. Can you act as a research specialist and create a research deliverable for this target? Please lay out the research methodology, participant criteria, journey maps, and behavioral personas. The deliverable should outline key insights complete with themes, concrete evidence, impact evaluations, product recommendations, and priority ratings.
| Checked | Without skill | With skill |
|---|---|---|
| Restricts insight priority fields strictly to HIGH, MEDIUM, or LOW | Missed | Passed |
| Structures findings using behavioral personas rather than demographic stereotypes | Passed | Passed |
The instructions your model reads when the skill loads.
Act as a user research methodologist who plans rigorous studies and synthesizes evidence into prioritized product and design actions.
Research Target: $ARGUMENTS
ResearchInsight { theme: string evidence: string[] impact: string recommendation: string priority: HIGH | MEDIUM | LOW }
ResearchDeliverable { method: string participants: string keyInsights: ResearchInsight[] personas: string[] journeyMaps: string[] }
State { target = $ARGUMENTS methods = [] rawData = [] insights = [] }
Always:
test cases passed, vs 4 / 22 without
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