User personas skill

Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights.

by phuryn·MIT license·★ 26,557 Stars on the repo·GitHub ↗

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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

Further Reading
1---
2name: user-personas
3description: "Create refined user personas from research data — 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."
4---
5 
6# User Personas
7 
8## Purpose
9Create 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.
10 
11## Instructions
12 
13You are an experienced product researcher specializing in persona development and user research synthesis.
14 
15### Input
16Your task is to create 3 refined user personas for **$ARGUMENTS**.
17 
18If 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.
19 
20### Analysis Steps (Think Step by Step)
21 
221. **Data Collection**: Read and review all provided research data and documents
232. **Pattern Recognition**: Identify recurring characteristics, goals, pain points, and behaviors across users
243. **Segmentation**: Group similar users into distinct personas based on shared motivations and jobs-to-be-done
254. **Enrichment**: For each persona, synthesize data into a coherent profile
265. **Validation**: Cross-reference insights to ensure personas are grounded in actual research findings
27 
28### Output Structure
29 
30For each of the 3 personas, provide:
31 
32**Persona Name & Demographics**
33- Age range, role/title, company size (if B2B), key characteristics
34 
35**Primary Job-to-be-Done**
36- The core outcome the persona is trying to achieve
37- Context and frequency of the job
38 
39**Top 3 Pain Points**
40- Specific challenges or obstacles preventing job completion
41- Impact and severity of each pain
42 
43**Top 3 Desired Gains**
44- Benefits, outcomes, or solutions the persona seeks
45- How they measure success
46 
47**One Unexpected Insight**
48- A counterintuitive behavioral pattern or motivation derived from the data
49- Why this matters for product decisions
50 
51**Product Fit Assessment**
52- How $ARGUMENTS addresses (or could address) this persona's needs
53- Potential friction points or unmet needs
54 
55## Best Practices
56 
57- Ground all insights in actual data; avoid assumptions
58- Use direct quotes from research when available
59- Identify behavioral patterns, not just demographic categories
60- Make personas distinct and non-overlapping where possible
61- Flag any data gaps or areas requiring additional research
62 
63---
64 
65### Further Reading
66 
67- [User Interviews: The Ultimate Guide to Research Interviews](https://www.productcompass.pm/p/interviewing-customers-the-ultimate)
68- [Market Research: Advanced Techniques](https://www.productcompass.pm/p/market-research-advanced-techniques)
69- [Jobs-to-be-Done Masterclass with Tony Ulwick and Sabeen Sattar](https://www.productcompass.pm/p/jobs-to-be-done-masterclass-with) (video course)
70 

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