prd-v04-persona-definition

Synthesize behavioral personas from CFD-, BR-, and FEA- evidence into traceable PER- entries.

193|9|Updated Jul 10, 2025
One-click install
npx skills add https://github.com/mattgierhart/PRD-driven-context-engineering --skill prd-v04-persona-definition
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prd-v04-persona-definition
Source: https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/.claude/skills/prd-v04-persona-definition
Command: npx skills add https://github.com/mattgierhart/PRD-driven-context-engineering --skill prd-v04-persona-definition

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

Synthesize behavioral personas from evidence to guide journey mapping and marketing decisions.

Core Features & Use Cases

  • Generate PER- entries linked to CFD-, BR-, and FEA- sources to ensure traceability.
  • Constrain persona outputs to a maximum of five, focusing on behavior over demographics.
  • Feed v0.4 User Journey Mapping with persona-driven insights and marketing hooks.

Quick Start

Define behavior-based personas from CFD-, BR-, and FEA- evidence to populate PER- entries for your v0.4 journeys.

Frequently Asked Questions about prd-v04-persona-definition

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

FAQPage Schema
How do I synthesize behavioral personas from evidence for user journey mapping?

Behavioral personas are synthesized from CFD-, BR-, and FEA- evidence to create structured PER- entries. This ensures traceability by linking each persona directly to its source evidence for journey mapping.

What is the maximum number of personas I should define for product requirements?

The maximum number of personas you should define is five. Constraining outputs to a maximum of five personas ensures you focus on behavior over demographics to guide marketing decisions effectively.

How do I ensure traceability when creating user profiles from research data?

Traceability is ensured when creating user profiles by linking each PER- entry directly to CFD-, BR-, and FEA- evidence sources. This connects your behavioral personas back to the original research data.

Can I use demographic data instead of behavioral models to define target users?

You cannot use demographic data instead of behavioral models to define target users with this approach. Persona outputs are constrained to focus strictly on behavior over demographics to guide journey mapping and marketing decisions.

Do I need CFD, BR, and FEA inputs before defining personas for my PRD?

Yes, you need CFD-, BR-, and FEA- inputs before defining personas for your PRD. The synthesis process draws on these specific evidence sources to generate PER- entries and populate your v0.4 journeys.

What's the best way to generate persona-driven insights for v0.4 journey mapping?

The best way to generate persona-driven insights for v0.4 journey mapping is to synthesize behavioral personas from CFD-, BR-, and FEA- evidence. This outputs structured PER- entries that feed directly into your v0.4 User Journey Mapping.