product-user-research
product-user-research is a User interviews & surveys skill for AI agents, published by frumu-ai in the tandem repository on GitHub. Skillspace rates product-user-research D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Synthesize qualitative and quantitative user research into structured insights and opportunity areas. Use when analyzing interview notes, survey responses, support tickets, or behavioral data to identify themes, build personas, or prioritize opportunities.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 111
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General user-research synthesis methodology template
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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