User Personas & Proto-Personas

•
6
•

Constructs evidence-based user personas and testable proto-personas to drive actionable product decisions and align development priorities.

The Personas skill turns raw customer research, support logs, and behavioral metrics into concise, decision-oriented user personas and hypothesis-driven proto-personas. Grounded in Alan Cooper's goal-directed design methodology, this skill focuses strictly on jobs-to-be-done, triggers, current workarounds, and actionable product trade-offs while stripping away demographic fluff. It helps product managers and development teams establish shared user definitions, explicitly trace claims back to source evidence, define anti-personas to safeguard product scope, and resolve roadmap prioritization debates directly within Claude Code.

Key Features

01Includes dedicated anti-persona framing to explicitly declare non-target user segments
02Structures personas around Jobs-to-be-Done (JTBD), core triggers, and existing workarounds
03Integrates seamlessly with product discovery workflows in markdown format
046 GitHub stars
05Differentiates rigorously between evidence-backed user segments and hypothesis-tagged proto-personas
06Enforces a strict decision-impact filter to eliminate decorative demographic fluff

Use Cases

01Synthesizing qualitative user interviews and support data into concrete product development profiles
02Formulating testable proto-persona hypotheses when entering new markets with limited quantitative data
03Resolving team ambiguity and feature creep during sprint planning or product roadmap prioritization