foundation-persona

Generate evidence-calibrated product and marketing personas from canonical templates.

640|81|Updated Jan 9, 2026
One-click install
npx skills add https://github.com/product-on-purpose/pm-skills --skill foundation-persona
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: foundation-persona
Source: https://github.com/product-on-purpose/pm-skills/tree/main/skills/foundation-persona
Command: npx skills add https://github.com/product-on-purpose/pm-skills --skill foundation-persona

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Teams often build personas that are vague, assumption-heavy, or inconsistent in format, making them useless for real product and GTM decisions. This Skill produces decision-usable personas from one canonical template pack, with explicit evidence levels, confidence ratings, and governance so downstream artifacts (PRDs, messaging, launch plans) inherit a trustworthy user or buyer profile.

Core Features & Use Cases

  • Dual persona modes: Generate a Product Persona (workflow behavior, friction, tradeoffs) or a Marketing Persona (buying triggers, objections, committee dynamics, messaging), with buyer accepted as an alias for marketing mode.
  • Canonical output contract: Enforces a fixed 11-section structure plus Persona Card, metadata table, and Evidence & Confidence blocks so every persona is comparable and reviewable.
  • Evidence calibration: Distinguishes validated findings from assumptions, lists open questions, and defines governance (review cadence, retirement criteria) for each persona.
  • Use Case: Before drafting a PRD, ask for a product persona grounded in your interview notes and support tickets; the output gives design rules, pain points, and tradeoff heuristics your team can cite in every prioritization debate.

Quick Start

Ask the assistant to create a product persona for your target user segment using the research notes and context you provide, with assumptions and confidence levels labeled.

Frequently Asked Questions about foundation-persona

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a product persona with AI?

Provide your research context (interviews, support tickets, analytics) and request a product persona. The Skill fills an 11-section template covering demographics, jobs to be done, behaviors, pain points, and design tradeoff heuristics, with confidence levels labeled.

What is the difference between a product persona and a marketing persona?

A product persona focuses on workflow behavior, friction, and product tradeoffs, while a marketing persona covers buying triggers, evaluation criteria, committee dynamics, objections, and messaging. The Skill supports both modes and treats 'buyer' as an alias for marketing.

Can I generate a persona without user research data?

Yes, but the Skill marks gaps and calibrates confidence accordingly, labeling assumptions separately from validated evidence. If a real decision rides on the persona and no evidence exists, gathering research first is recommended.

When should I not use a persona builder?

Avoid it when you need the job context rather than the person (use a JTBD canvas), when mapping internal stakeholders rather than customers, or when raw interviews still need synthesis before a persona can be built on them.

How does the persona handle evidence and confidence levels?

Each persona includes an evidence table citing sources, plus Validated, Assumed, Open Questions, and Governance blocks. Confidence is rated High, Medium, or Low with rationale so reviewers know how much to trust each section.