Plan, execute, and synthesize user research into evidence-backed findings.
npx skills add https://github.com/snuffomega/pricechart --skill investigate-snuffomega
Please help me install this Agent Skill. Skill: investigate Source: https://github.com/snuffomega/pricechart/tree/main/.agents/skills/investigate Command: npx skills add https://github.com/snuffomega/pricechart --skill investigate-snuffomega
It replaces guesswork with a rigorous research lifecycle so teams can understand users through evidence, then turn that understanding into actionable findings.
Use the investigate skill to design a study plan, draft an interview guide, and synthesize results into evidence-backed recommendations.
High-intent search queries and answers about installing and using this skill.
To write a user research interview guide that reduces bias, you need structured topic framing and unbiased questioning techniques. This ensures high data quality by preventing leading questions during probing.
The best way to choose a user research method is by matching the approach to your learning goals. Select from interviews, usability tests, diary studies, or contextual inquiry based on what you need to learn.
To synthesize user research findings into actionable recommendations, apply affinity mapping, thematic coding, and journey-based synthesis. This process includes evidence-strength grading for clear, decision-ready reporting.
Yes, you can use thematic coding to turn user insights into evidence-backed decisions. It is a rigorous synthesis method that replaces opinions with structured evidence gathered during usability testing or interviews.
Evidence-strength grading in user research synthesis is a method of evaluating the reliability of your findings. It ensures downstream decision-making is based on rigorous evidence rather than subjective opinions.
Yes, survey design requires unbiased questioning techniques just like interview guides. Creating survey instruments with structured topic framing ensures high-quality user insights and reliable data collection.
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