user-research-analysis
Analyze user research data to uncover insights, identify patterns, and inform design decisions. Synthesize qualitative and quantitative research into actionable recommendations.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill user-research-analysis- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads user-research-analysis automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
User Research Analysis
Table of Contents
Overview
Effective research analysis transforms raw data into actionable insights that guide product development and design.
When to Use
- Synthesis of user interviews and surveys
- Identifying patterns and themes
- Validating design assumptions
- Prioritizing user needs
- Communicating insights to stakeholders
- Informing design decisions
Quick Start
Minimal working example:
# Analyze qualitative and quantitative data
class ResearchAnalysis:
def synthesize_interviews(self, interviews):
"""Extract themes and insights from interviews"""
return {
'interviews_analyzed': len(interviews),
'methodology': 'Thematic coding and affinity mapping',
'themes': self.identify_themes(interviews),
'quotes': self.extract_key_quotes(interviews),
'pain_points': self.identify_pain_points(interviews),
'opportunities': self.identify_opportunities(interviews)
}
def identify_themes(self, interviews):
"""Find recurring patterns across interviews"""
themes = {}
theme_frequency = {}
for interview in interviews:
for statement in interview['statements']:
theme = self.categorize_statement(statement)
theme_frequency[theme] = theme_frequency.get(theme, 0) + 1
# Sort by frequency
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Research Synthesis Methods | Research Synthesis Methods |
| Affinity Mapping | Affinity Mapping |
| Insight Documentation | Insight Documentation |
| Research Validation Matrix | Research Validation Matrix |
Best Practices
✅ DO
- Use multiple research methods
- Triangulate findings across sources
- Document quotes and evidence
- Look for patterns and frequency
- Separate findings from interpretation
- Validate findings with users
- Share insights across team
- Connect to design decisions
- Document methodology
- Iterate research approach based on learnings
❌ DON'T
- Over-interpret small samples
- Ignore conflicting data
- Base decisions on single data point
- Skip documentation
- Cherry-pick quotes that support assumptions
- Present without supporting evidence
- Forget to note limitations
- Analyze without involving participants
- Create insights without actionable recommendations
- Let research sit unused
FAQ
What does the user-research-analysis skill do?
Analyze user research data to uncover insights, identify patterns, and inform design decisions. Synthesize qualitative and quantitative research into actionable recommendations.
How do I install user-research-analysis?
Run npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill user-research-analysis in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/user-research-analysis/ (personal) or .claude/skills/user-research-analysis/ (project).
Which AI agents can use user-research-analysis?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is user-research-analysis safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains user-research-analysis?
It is published by aj-geddes in aj-geddes/useful-ai-prompts. It has 612 recorded installs.
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