Is this skill based on a specific methodology?

Yes, it is based on the Jobs to Be Done (JTBD) theory by Clayton Christensen, combined with standard firmographic and behavioral profiling methodologies.

What data do I need to use the Ideal Customer Profile skill?

You can provide various research inputs including PMF survey responses, customer interview transcripts, product usage analytics, and sales win/loss data.

Can it identify which customers I should NOT target?

Yes, a key output of this skill is a set of disqualification criteria, which helps your team avoid prospects who are likely to churn or require excessive support.

How does this help with Product-Market Fit?

It analyzes your existing data to isolate the 'super-users'—those who would be very disappointed without your product—helping you define an ICP that reflects your strongest PMF.

Ideal Customer Profile (ICP) Builder

Name: Ideal Customer Profile (ICP) Builder
Author: phuryn

byphuryn

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9,437

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Marketing Automation

Synthesizes customer research and survey data into detailed Ideal Customer Profiles using the Jobs to Be Done (JTBD) framework.

This skill empowers product managers and growth teams to transform raw research data—such as PMF surveys, interview transcripts, and usage analytics—into high-fidelity Ideal Customer Profiles (ICP). By mapping firmographics, behavioral patterns, and specific Jobs to Be Done (JTBD), it identifies high-value segments, articulates core pain points, and defines the functional and emotional needs that drive product adoption. It is particularly useful for aligning marketing, sales, and product strategy around the customers most likely to retain and expand with your solution.

Key Features

01Segments customers by value, identifying cohorts with high LTV and low churn potential.

02Maps functional, emotional, and social Jobs to Be Done (JTBD) for deep customer insight.

03Generates clear disqualification criteria to help teams avoid low-fit customer segments.

04Identifies behavioral patterns in the buying process and product adoption lifecycle.

059,437 GitHub stars

06Synthesizes qualitative interview transcripts and quantitative survey data into cohesive profiles.

Use Cases

01Evaluating new feature opportunities by checking alignment with the core ICP's needs.

02Refining sales and marketing messaging to resonate with high-value customer segments.

03Defining a target market after conducting a Product-Market Fit (PMF) survey.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add phuryn/pm-skills ideal-customer-profile

For use in Claude.ai and ChatGPT

Key Features

01Segments customers by value, identifying cohorts with high LTV and low churn potential.

02Maps functional, emotional, and social Jobs to Be Done (JTBD) for deep customer insight.

03Generates clear disqualification criteria to help teams avoid low-fit customer segments.

04Identifies behavioral patterns in the buying process and product adoption lifecycle.

059,437 GitHub stars

06Synthesizes qualitative interview transcripts and quantitative survey data into cohesive profiles.

Use Cases

01Evaluating new feature opportunities by checking alignment with the core ICP's needs.

02Refining sales and marketing messaging to resonate with high-value customer segments.

03Defining a target market after conducting a Product-Market Fit (PMF) survey.