User Persona Creation

by aj-geddes3f5182cfd739No license355 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 7 months ago

Create detailed user personas based on research and data. Develop realistic representations of target users to guide product decisions and ensure user-centered design.

Instructions onlyResearch & Analysis Design & Creative

AI-generated overview

Creates research-based user personas to guide product design, prioritization and messaging.

What it does: This skill guides the creation of detailed user personas grounded in research and data, producing realistic profiles of target users. It covers research and data collection, a persona template, guidance on multiple personas, and how to apply personas. The output is persona documentation intended to inform design, development and marketing decisions.
When to use it: Use it when starting product design, prioritizing features, shaping marketing messaging, synthesizing user research, aligning a team on its users, mapping journeys or defining success metrics.
Requirements: No scripts are shipped; it is instructions plus reference and template files. It assumes access to user research data such as interviews, and the quick-start example is written in Python.

Overview

User personas synthesize research into realistic user profiles that guide design, development, and marketing decisions.

When to Use

Starting product design
Feature prioritization
Marketing messaging
User research synthesis
Team alignment on users
Journey mapping
Success metrics definition

Quick Start

Minimal working example:

python

# Gather data for persona development
class PersonaResearch:    def conduct_interviews(self, target_sample_size=12):        """Interview target users"""        interview_guide = {            'demographics': [                'Age, gender, location',                'Job title, industry, company size',                'Experience level, education',                'Salary range, purchasing power'            ],            'goals': [                'What are you trying to achieve?',                'What's most important to you?',                'What does success look like?'            ],            'pain_points': [                'What frustrates you about current solutions?',                'What takes too long or is complicated?',                'What prevents you from achieving goals?'            ],            'behaviors': [                'How do you currently solve this problem?',                'What tools do you use?',// ... (see reference guides for full implementation)

# Gather data for persona development
class PersonaResearch:    def conduct_interviews(self, target_sample_size=12):        """Interview target users"""        interview_guide = {            'demographics': [                'Age, gender, location',                'Job title, industry, company size',                'Experience level, education',                'Salary range, purchasing power'            ],            'goals': [                'What are you trying to achieve?',                'What's most important to you?',                'What does success look like?'            ],            'pain_points': [                'What frustrates you about current solutions?',                'What takes too long or is complicated?',                'What prevents you from achieving goals?'            ],            'behaviors': [                'How do you currently solve this problem?',                'What tools do you use?',// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Best Practices

✅ DO

Base personas on real research, not assumptions
Include 2-3 primary personas
Make personas specific and detailed
Include direct user quotes
Update personas based on new data
Share personas across organization
Use personas for all product decisions
Include both goals and pain points
Create personas for different user types
Document research sources

❌ DON'T

Create personas without research
Create too many personas (>4 primary)
Make personas too generic
Ignore data in favor of assumptions
Create personas, then forget them
Use personas only for design
Make personas unrealistically perfect
Ignore secondary users
Keep personas locked away
Never update personas

Source and attribution

Source:aj-geddes/useful-ai-promptsinskills/user-persona-creationat commit3f5182c

License: No license

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Guide	Contents
Research & Data Collection [blocked]	Research & Data Collection
Persona Template [blocked]	Persona Template
Multiple Personas [blocked]	Multiple Personas
Using Personas [blocked]	Using Personas

User Persona Creation

User Persona Creation

Table of Contents

Overview

When to Use

Quick Start

Reference Guides

Best Practices

✅ DO

❌ DON'T

Source and attribution

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