How does this help with product decisions?

By mapping user behaviors to the O2O loop, it identifies exactly where users face friction—whether in the app or at the physical wash site—helping prioritize high-impact features.

Is this skill only for Autostay?

While specifically optimized for Autostay's O2O car wash business model, the underlying JTBD and persona frameworks provide a robust structure applicable to various subscription services.

What are the pre-built archetypes included?

The skill includes specialized archetypes for Busy Professionals, Car Care Enthusiasts, Value Seekers, and New Car Owners, each with unique car-care motivations.

What data does the User Persona skill require?

It works best with research data like survey responses, interview transcripts, or CSV files, but can also generate personas based on general descriptions using its internal archetypes.

User Personas (Autostay)

Name: User Personas (Autostay)
Author: autostay-kr

byautostay-kr

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생산성 및 워크플로

Generates detailed, research-backed subscriber personas for Autostay’s car wash service using pre-built archetypes and JTBD frameworks.

This skill empowers product managers and researchers to transform raw subscriber data into actionable user personas tailored specifically for the Autostay O2O car wash ecosystem. It leverages industry-standard frameworks like Jobs-to-be-Done (JTBD) and identifies critical pain points, gains, and unexpected behavioral insights across various subscriber archetypes—from busy professionals to car enthusiasts—enabling data-driven product decisions and improved user retention strategies.

주요 기능

01Identifies O2O loop friction points across online and offline touchpoints

021 GitHub stars

03Utilizes Jobs-to-be-Done (JTBD) framework for deep motivation analysis

04Provides churn risk assessment and LTV potential for each persona

05Includes pre-built archetypes specifically for the O2O car wash subscription market

06Synthesizes raw research data into structured, professional persona profiles

사용 사례

01Analyzing survey data to identify and refine new user archetypes

02Creating targeted marketing and retention campaigns for specific subscriber behaviors

03Developing product roadmaps based on validated subscriber segment needs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add autostay-kr/autostay-skills user-personas

For use in Claude.ai and ChatGPT

주요 기능

01Identifies O2O loop friction points across online and offline touchpoints

021 GitHub stars

03Utilizes Jobs-to-be-Done (JTBD) framework for deep motivation analysis

04Provides churn risk assessment and LTV potential for each persona

05Includes pre-built archetypes specifically for the O2O car wash subscription market

06Synthesizes raw research data into structured, professional persona profiles

사용 사례

01Analyzing survey data to identify and refine new user archetypes

02Creating targeted marketing and retention campaigns for specific subscriber behaviors

03Developing product roadmaps based on validated subscriber segment needs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add autostay-kr/autostay-skills user-personas

For use in Claude.ai and ChatGPT