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User Research

  • 22 installs
  • 3 repo stars
  • Updated January 5, 2026
  • pluginagentmarketplace/custom-plugin-product-manager

Helps with ai & agent building tasks.

About

user-research is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • user-research
  • AI & Agent Building
  • AI-coding skill

User Research by the numbers

  • 22 all-time installs (skills.sh)
  • Ranked #10,137 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-product-manager --skill user-research

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Listed on Skillselion
Installs22
repo stars3
Last updatedJanuary 5, 2026
Repositorypluginagentmarketplace/custom-plugin-product-manager

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

User Research Skill

Conduct effective user research to understand customer needs, behaviors, and pain points. Master interview techniques and insight synthesis.

Research Methods

Method Selection Guide

MethodWhenSampleDuration
InterviewsDeep understanding15-2545-60 min
SurveysQuantitative validation100+5-10 min
UsabilityUX issues5-830-60 min
ObservationReal behavior3-52-4 hours
AnalyticsScale patternsAll usersOngoing

Qualitative Research

Interview Structure

OPENING (5 min):
- Intro & rapport
- Permission to record
- Context setting

CONTEXT (10 min):
- Role and responsibilities
- Day-to-day workflow
- Tools used

DEEP DIVE (20 min):
- "Walk me through [process]..."
- "Tell me about last time [problem]..."
- "What frustrates you most?"

IMPACT (10 min):
- "What happens when [problem]?"
- "How much time/money does it cost?"

FUTURE (10 min):
- "What would ideal look like?"
- "What would you pay for [solution]?"

CLOSING (5 min):
- "Anything else?"
- "Can I follow up?"

Interview Best Practices

  • Listen 70%, talk 30%
  • Ask "Why?" 5 times
  • Avoid leading questions
  • Use silence effectively
  • Capture quotes verbatim

Quantitative Research

Survey Design

Question Types:

  • Rating scale (1-5, 1-10)
  • Multiple choice
  • Open-ended (limit 1-2)
  • Ranking

NPS Question: "How likely are you to recommend [product] to a friend? (0-10)"

Sample Size Calculator

For 95% confidence, 5% margin:
- Population 100 → Sample 80
- Population 500 → Sample 217
- Population 1000 → Sample 278
- Population 10000 → Sample 370

Synthesis

Affinity Mapping

1. Write each insight on sticky note 2. Group similar insights 3. Name each group (theme) 4. Rank by frequency/impact 5. Extract top 5-10 themes

Persona Template

NAME: [Descriptive name]
ROLE: [Job title, company type]
QUOTE: "[Real quote from research]"

GOALS:
- [Goal 1]
- [Goal 2]

FRUSTRATIONS:
- [Pain 1]
- [Pain 2]

BEHAVIORS:
- [How they work]
- [Tools they use]

NEEDS:
- [Need 1]
- [Need 2]

Journey Map

StageActionsEmotionsPain PointsOpportunities
AwareSearchCuriousHard to findSEO, content
ConsiderCompareConfusedToo many optionsComparison
PurchaseBuyAnxiousComplex checkoutSimplify
UseOnboardOverwhelmedSteep learningBetter UX

Troubleshooting

Yaygın Hatalar & Çözümler

HataOlası SebepÇözüm
Low responseWrong incentive$50-100 gift card
Surface insightsLeading questions"Why?" 5x
Conflicting dataMixed segmentsSegment analysis
No showScheduling issuesCalendar hold, reminder

Debug Checklist

[ ] Research plan documented mi?
[ ] Sample size sufficient mi?
[ ] Questions non-leading mi?
[ ] Recording consent alındı mı?
[ ] Synthesis done within 24h mi?
[ ] Insights actionable mi?

Recovery Procedures

1. Low Participation → Increase incentive, new channels 2. Conflicting Data → Segment by user type 3. Shallow Insights → Follow-up interviews

Learning Outcomes

  • Plan effective research studies
  • Conduct insightful interviews
  • Design valid surveys
  • Synthesize research data
  • Present actionable insights

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