proto-persona

Generate a hypothesis-driven proto-persona profile from user research and market data.

Updated Feb 16, 2026
One-click install
npx skills add https://github.com/MMXC/openclaw-back --skill proto-persona-mmxc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: proto-persona
Source: https://github.com/MMXC/openclaw-back/tree/main/pm-skills/skills/proto-persona
Command: npx skills add https://github.com/MMXC/openclaw-back --skill proto-persona-mmxc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps product teams quickly create an initial, assumption-based profile of their target user, aligning stakeholders early and guiding initial design decisions.

Core Features & Use Cases

  • Synthesize Information: Combines user research, market data, and stakeholder knowledge into a working hypothesis.
  • Hypothesis Framing: Makes assumptions explicit for validation.
  • Use Case: Before extensive user interviews, use this Skill to draft a "proto-persona" named "Startup Sarah" based on existing market research and sales team insights, providing a clear target for initial design concepts.

Quick Start

Create a proto-persona for a target user by filling in the details in the provided template.

Frequently Asked Questions about proto-persona

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

FAQPage Schema
What is a proto-persona and when do I need to create one for product development?

A proto-persona is a hypothesis-driven target user profile synthesized from existing market data and stakeholder knowledge. You need to create one before conducting extensive user research to facilitate early team alignment and guide initial design decisions.

How do I draft an assumption-based persona using existing market data?

To draft an assumption-based persona, synthesize available user research, market data, and stakeholder knowledge into a working hypothesis. This process creates a structured placeholder for your target user while making all informed assumptions explicit for validation.

Can I use a proto-persona to align stakeholders before user interviews?

Yes, you can use a proto-persona to align stakeholders before user interviews. By synthesizing stakeholder knowledge and market data into a working hypothesis, it provides a clear target for initial design concepts and ensures team alignment early.

How does hypothesis framing work when generating user personas?

Hypothesis framing works by making informed assumptions explicit during persona generation. This ensures the synthesized user research and market data are treated as a structured placeholder that requires validation through subsequent research.

What is the difference between a proto-persona and a validated user persona?

A proto-persona is an assumption-based profile built from stakeholder knowledge and market data, whereas a validated persona is confirmed through direct user research. The proto-persona explicitly marks hypotheses for validation to guide initial design decisions.

What are the limitations of using proto-personas for user research?

The main limitation of proto-personas is that they are based on informed assumptions rather than validated data. They serve as a temporary placeholder to guide initial design decisions and must be explicitly validated through subsequent user research.