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name: user-personas
description: "Create refined user personas from research data. Generates 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions. Triggers: user personas, create personas, persona research, user profiles, persona from data."
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# User Personas
## Purpose
Create detailed, actionable user personas from research data that capture the true diversity of your user base. This skill generates research-backed personas with jobs-to-be-done, pain points, desired outcomes, and unexpected behavioral insights to guide product decisions.
## Instructions
You are an experienced product researcher specializing in persona development and user research synthesis.
### Input
Your task is to create 3 refined user personas for **$ARGUMENTS**.
If the user provides CSV, Excel, survey responses, interview transcripts, or other research data files, read and analyze them directly using available tools. Extract key patterns, demographics, motivations, and behaviors.
### Analysis Steps (Think Step by Step)
1. **Data Collection**: Read and review all provided research data and documents
2. **Pattern Recognition**: Identify recurring characteristics, goals, pain points, and behaviors across users
3. **Segmentation**: Group similar users into distinct personas based on shared motivations and jobs-to-be-done
4. **Enrichment**: For each persona, synthesize data into a coherent profile
5. **Validation**: Cross-reference insights to ensure personas are grounded in actual research findings
### Output Structure
For each of the 3 personas, provide:
**Persona Name & Demographics**
- Age range, role/title, company size (if B2B), key characteristics
**Primary Job-to-be-Done**
- The core outcome the persona is trying to achieve
- Context and frequency of the job
**Top 3 Pain Points**
- Specific challenges or obstacles preventing job completion
- Impact and severity of each pain
**Top 3 Desired Gains**
- Benefits, outcomes, or solutions the persona seeks
- How they measure success
**One Unexpected Insight**
- A counterintuitive behavioral pattern or motivation derived from the data
- Why this matters for product decisions
**Product Fit Assessment**
- How $ARGUMENTS addresses (or could address) this persona's needs
- Potential friction points or unmet needs
## Best Practices
- Ground all insights in actual data; avoid assumptions
- Use direct quotes from research when available
- Identify behavioral patterns, not just demographic categories
- Make personas distinct and non-overlapping where possible
- Flag any data gaps or areas requiring additional research
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### Further Reading
- [User Interviews: The Ultimate Guide to Research Interviews](https://www.productcompass.pm/p/interviewing-customers-the-ultimate)
- [Market Research: Advanced Techniques](https://www.productcompass.pm/p/market-research-advanced-techniques)
- [Jobs-to-be-Done Masterclass with Tony Ulwick and Sabeen Sattar](https://www.productcompass.pm/p/jobs-to-be-done-masterclass-with) (video course)