# User Personas Agent Skill > Turn survey data, interviews, or CSVs into 3 refined user personas with jobs-to-be-done, pain points, gains, and unexpected insights. Start free. - Canonical: https://nanoskill.ai/skills/user-personas-agent-skill - Markdown: https://nanoskill.ai/skills/user-personas-agent-skill.md - Author: phuryn - Published: 2026-11-04T09:00:00.000Z - Updated: 2026-11-05T09:22:33.350Z - Language: en - Source type: github - Popularity signal: 25857 ## Sources - https://github.com/phuryn/pm-skills/tree/main/pm-market-research/skills/user-personas ## Install ```shell npx skills add https://github.com/phuryn/pm-skills/tree/main/pm-market-research/skills/user-personas ``` ## About Create refined user personas from research data with this product research skill. It helps product managers, researchers, and founders turn raw survey responses, interview transcripts, or CSVs into three actionable personas that surface jobs-to-be-done, pain points, desired gains, and unexpected insights. Unlike basic persona templates, this skill follows a structured research synthesis process: data collection, pattern recognition, segmentation, enrichment, and validation. Each persona output includes age range, role, primary job-to-be-done, top 3 pain points, top 3 desired gains, one unexpected behavioral insight, and a product fit assessment for your product. Use it to segment users for roadmap decisions, synthesize JTBD interviews, or validate product-market fit before development. Because all insights are grounded in your research data, the personas remain distinct, non-overlapping, and actionable for product and marketing teams. ## Key features - **Generate 3 refined user personas**: Analyze CSV, Excel, survey responses, or interview transcripts and synthesize three distinct, data-grounded personas. - **Capture jobs-to-be-done**: Define the core outcome each persona is trying to achieve, including context and frequency of the job. - **Map pains and desired gains**: Identify top 3 pain points and top 3 desired gains per persona, showing impact and success metrics. - **Surface unexpected behavioral insights**: Uncover counterintuitive patterns from research data that reveal what motivates users beyond demographics. - **Assess product fit**: Evaluate how your product or feature meets each persona's needs and flag friction points or unmet needs. ## Use cases - **Segment users for product decisions**: Group survey or interview respondents into distinct user personas to focus roadmap and feature prioritization. - **Build personas from research data**: Feed CSV, Excel, or interview transcripts into the skill and get actionable profiles for product teams. - **Guide JTBD research synthesis**: Turn jobs-to-be-done interviews into persona profiles that highlight desired outcomes and obstacles. - **Validate product-market fit**: Use product fit assessments per persona to spot unmet needs and reduce risk before development. ## Result preview See behavioral personas with JTBD, pains, quotes, unexpected insights, and product decisions. ![the demo of user personas agent skill](https://file.nanoskill.ai/user-personas-agent-skill-demo-1.png) ![the demo of user personas agent skill](https://file.nanoskill.ai/user-personas-agent-skill-demo-2.png) ![the demo of user personas agent skill](https://file.nanoskill.ai/user-personas-agent-skill-demo-3.png) ![the demo of user personas agent skill](https://file.nanoskill.ai/user-personas-agent-skill-demo-4.png) ## Result walkthrough ### Install Add the User Personas Skill to your AI agent. ![the step of user personas agent skill](https://file.nanoskill.ai/user-personas-agent-skill-step-1.png) ### Upload Your Research Data Provide interviews, surveys, or CSV files. ![the step of user personas agent skill](https://file.nanoskill.ai/user-personas-agent-skill-step-2.png) ### Get Your Personas Receive an HTML report with 3 personas, JTBD, quotes, and unexpected insights. ![the step of user personas agent skill](https://file.nanoskill.ai/user-personas-agent-skill-step-3.png) ## Skill definition # 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 - [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) ## FAQ ### What is the user personas skill? It is a product research skill that creates three refined user personas from research data, including jobs-to-be-done, pain points, desired gains, and unexpected behavioral insights. ### What types of research data can I use? You can provide CSV, Excel, survey responses, interview transcripts, or other research documents. The skill reads and analyzes them directly using available tools. ### How does the skill create 3 personas? It follows a step-by-step analysis: data collection, pattern recognition, segmentation, enrichment, and validation to ensure personas are grounded in actual findings. ### Does the skill use assumptions or real data? It aims to ground all insights in actual data, uses direct quotes when available, identifies behavioral patterns, and flags data gaps or areas needing more research. ### What is an unexpected insight in each persona? It is a counterintuitive behavioral pattern or motivation derived from the data that can change product decisions, included for each of the three personas. ### How do I use the user personas skill with CSV or interview data? Invoke the skill with a description of your product or research context, then provide your files. It reads them directly and returns structured persona profiles.