Install any skill in seconds. Free to start, no credit card required.
Get Started Free →zzafergok/design-research
Conducts user experience research to inform mobile product and design decisions, and translates research findings into high-leverage product opportunities. Reviews user data and analytics, analyzes App Store reviews, plans user research studies, creates personas, customer segments, design principles, and research discussion guides. Includes a structured opportunity analysis phase (10x thinking) that identifies game-changing product moves from research evidence rather than intuition alone. Use wh
Passed 18 of 22 test cases with the skill, and 5 of 22 without it.
and 20 more in the full report
13 fixed5 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
We just finished synthesizing interviews for a mobile medical appointment app. Please write 4 design principles for our design team. The team usually prefers clean, simple principles like 'Keep it Simple' and 'Ensure Intuitive Navigation' so that anyone can understand them.
| Checked | Without skill | With skill |
|---|---|---|
| Formats each design principle with a Title, Tagline, Insight, In practice example, and Not constraint | Missed | Passed |
| Rejects generic UX mantras in favor of domain-specific principles linked to research findings | Missed | Passed |
The instructions your model reads when the skill loads.
Use evidence to identify and prioritize mobile product opportunities, accounting for platform context, acquisition, activation, retention, and recurring usage.
Define the product decision, target users, lifecycle stage, geography, platform, business model, current evidence, constraints, and what new evidence could change the decision.
Use the smallest appropriate combination:
Store reviews and competitor observations are biased samples. Do not treat frequency in public comments as population prevalence without supporting data.
Separate observation, interpretation, assumption, and recommendation. Cluster evidence into jobs, triggers, barriers, unmet needs, and desired outcomes. Retain contradictory cases and segment differences.
Describe each opportunity with:
Compare user harm or value, frequency, strategic relevance, retention or revenue connection, reach, confidence, effort, platform constraints, and reversibility. Identify the smallest experiment that could reduce the most important uncertainty.
test cases passed, vs 5 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.