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+---
+description: Comprehensive user research — build personas, segment users, and map the customer journey from research data
+argument-hint: "<research data, survey results, or product description>"
+---
+
+# /research-users -- User Research Synthesis
+
+Turn raw research data into actionable user personas, behavioral segments, and customer journey maps. Accepts survey data, interview notes, feedback, analytics, or a product description for exploratory research.
+
+## Invocation
+
+```
+/research-users [upload survey results, interview notes, or feedback data]
+/research-users B2B project management tool for agencies — help me understand our users
+/research-users [paste user feedback or support ticket data]
+```
+
+## Workflow
+
+### Step 1: Accept Research Inputs
+
+Accept from any combination:
+- Survey responses (CSV, spreadsheet, pasted)
+- Interview notes or transcripts
+- Support tickets or feature requests
+- Product analytics / behavioral data
+- NPS or satisfaction data
+- Product description (for exploratory research without data)
+
+Ask:
+- What research do you have? What format?
+- What do you want to understand? (who are our users, how do they differ, where's the friction)
+- What decisions will this inform? (roadmap, positioning, pricing, onboarding)
+
+### Step 2: Build Personas
+
+Apply the **user-personas** skill:
+
+- Identify 3-4 distinct personas from the data
+- For each persona: name, role, goals (JTBD), pains, gains, behavioral patterns
+- Include unexpected insights — things that surprised you in the data
+- Note persona prevalence (what % of your base each represents, if data allows)
+
+### Step 3: Segment Users
+
+Apply the **user-segmentation** and **market-segments** skills:
+
+- Create behavioral segments (not just demographics)
+- For each segment: size, JTBD, product fit, willingness to pay, engagement level
+- Identify the highest-value segment and the highest-growth segment
+- Map segments to personas (how they overlap)
+
+### Step 4: Map the Customer Journey
+
+Apply the **customer-journey-map** skill:
+
+- Map the end-to-end journey: Awareness → Consideration → Onboarding → Active Use → Expansion → Advocacy
+- For each stage: touchpoints, emotions, pain points, aha moments
+- Identify the biggest drop-off points
+- Highlight moments of delight worth amplifying
+
+### Step 5: Generate Research Report
+
+```
+## User Research Report: [Product]
+
+**Date**: [today]
+**Data sources**: [what was analyzed]
+**Sample size**: [if applicable]
+
+### Executive Summary
+[3-5 sentences: key findings and implications]
+
+### Personas
+
+#### Persona 1: [Name] — "[Quote that captures them]"
+- **Who**: [role, context, experience level]
+- **Primary JTBD**: [When..., I want to..., so I can...]
+- **Key pains**: [top 3]
+- **Key gains**: [what delights them]
+- **Behavioral pattern**: [how they use the product]
+- **Prevalence**: [X% of user base]
+
+[Repeat for each persona]
+
+### User Segments
+| Segment | Size | Primary JTBD | Product Fit | Value | Growth |
+|---------|------|-------------|-------------|-------|--------|
+
+### Customer Journey Map
+| Stage | Touchpoints | Emotion | Pain Points | Opportunities |
+|-------|------------|---------|-------------|---------------|
+
+### Key Insights
+1. [Insight with supporting evidence]
+2. ...
+
+### Recommendations
+1. [Actionable recommendation tied to findings]
+2. ...
+
+### Open Questions
+[What the data didn't answer — suggested follow-up research]
+```
+
+Save as markdown.
+
+### Step 6: Offer Next Steps
+
+- "Want me to **create interview scripts** to go deeper on a specific persona?"
+- "Should I **analyze sentiment** across these segments?"
+- "Want me to **build a value proposition** for the top persona?"
+- "Should I **prioritize the journey map pain points** as feature opportunities?"
+
+## Notes
+
+- If data is thin, be transparent about confidence levels — 5 interviews → hypotheses, not conclusions
+- Personas should be useful, not decorative — every persona should influence a product decision
+- Behavioral segments are more actionable than demographic segments for product decisions
+- The journey map should surface emotions, not just actions — where users feel frustrated vs. delighted drives prioritization
+- If no data is provided, generate research-informed hypotheses and recommend how to validate them