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From ai-pm-copilot
Guides user research methods: interviews, usability testing, surveys, A/B tests, analytics, and synthesis for planning studies and validating ideas.
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/ai-pm-copilot:user-research-techniquesThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Guide to qualitative and quantitative research methods for understanding users, validating ideas, and informing product decisions.
Guide to qualitative and quantitative research methods for understanding users, validating ideas, and informing product decisions.
Auto-loaded by agents:
research-ops - For research methods, planning, and best practicesUse when you need:
Quantitative <-- --> Qualitative
(What & How Many) (Why & How)
|
Behavioral --+-- Analytics Usability Testing
(What they | Surveys Field Studies
do) | A/B Tests Diary Studies
|
Attitudinal -+-- Surveys Interviews
(What they | NPS Focus Groups
say) | Questionnaires Concept Tests
Understand problems, validate solutions, assess products. Use open-ended questions, listen more than talk (80/20 rule), and ask "why" 5 times. 5-8 participants per segment.
Test product usability with moderated or unmoderated sessions. Recruit 5-8 participants, use think-aloud protocol, measure task completion, time on task, and satisfaction.
Observe users in their natural environment through contextual inquiry, shadowing, or diary studies. Best for understanding context and discovering workarounds.
Understand mental models and information architecture. Open (users create categories), closed (sort into given categories), or hybrid.
6-10 participant moderated discussions. Good for exploring opinions and generating ideas. Avoid for validation (groupthink risk).
Comprehensive guide: references/qualitative-methods-guide.md
Measure attitudes at scale with NPS (0-10), CSAT (1-5), CES (1-7), or custom questions. Keep short (<10 questions), avoid leading/double-barreled questions. 100+ respondents for directional insights, 384+ for statistical significance.
Track behavioral data: engagement (DAU/WAU/MAU), conversion funnels, retention cohorts, feature adoption.
Test variants with statistical rigor. Hypothesis, design, sample size, run 1-2 weeks, analyze significance.
Combine findings through affinity mapping, thematic analysis, or Jobs-to-be-Done framework.
Comprehensive guide: references/quantitative-methods-guide.md
Confirmation Bias: Seek disconfirming evidence Leading Questions: Ask neutral questions Selection Bias: Recruit diverse participants Observer Effect: Users behave differently when watched
Qualitative:
Quantitative:
Combine Methods:
Weekly Touchpoints:
Avoid:
Do:
Research Platforms:
Analysis:
Analytics:
assets/research-plan-template.md - Research plan template with goals, methods, questions, and deliverablesreferences/qualitative-methods-guide.md - User interviews, usability testing, field studies, card sorting, focus groupsreferences/quantitative-methods-guide.md - Surveys, analytics, A/B testing, research synthesis methodsreferences/research-planning-guide.md - Defining research questions, choosing methods, recruiting participantsBooks:
Online:
Need to understand why? -> Interviews
Testing usability? -> Usability Tests
Measure satisfaction? -> Survey (NPS/CSAT)
Understand behavior? -> Analytics
Validate solution? -> Prototype Test
Deep context? -> Field Study
Always: Define questions, recruit right users, synthesize, act on insights
npx claudepluginhub slgoodrich/agents --plugin ai-pm-copilotPlans, conducts, and synthesizes user research studies including interviews, usability tests, surveys, card sorting, and analysis frameworks like affinity mapping.
Plan and execute user research: frame questions, choose methods, recruit participants, conduct interviews, synthesize findings, and drive product decisions.
Guides user research from planning through synthesis. Use when designing studies, writing interview guides, or synthesizing findings into insights.