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validating-customers

Map assumptions and run structured experiments to validate customer archetypes and DMU for B2B contexts.

233|64|Updated Mar 12, 2026
Search Tags:#market research#ICP#lean startup#experimentation#persona development#customer validation#DMU
One-click install
npx skills add https://github.com/revcontext/gtm-strategist-skills --skill validating-customers
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: validating-customers
Source: https://github.com/revcontext/gtm-strategist-skills/tree/main/.claude/skills/validating-customers
Command: npx skills add https://github.com/revcontext/gtm-strategist-skills --skill validating-customers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you move beyond guesswork to empirically discover and validate your target customer, ensuring your product or service truly meets market needs.

Core Features & Use Cases

  • Assumption Mapping: Identify and prioritize critical assumptions about your customer, problem, and solution.
  • Experiment Design: Plan and execute tests (MVIs, alpha tests, community launches) to gather real-world data.
  • Archetype Creation: Build an evidence-based customer profile (ECP/ICP/Persona) and map the Decision Making Unit (DMU).
  • Use Case: A startup founder has a new app idea but isn't sure who will use it or if they'll pay. They use this Skill to map assumptions, run a landing page test to gauge interest, interview early sign-ups, and finally define a validated customer archetype.

Quick Start

Begin by mapping your customer assumptions and planning experiments to test them.

Frequently Asked Questions about validating-customers

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

FAQPage Schema
How do I validate customer assumptions for my startup idea?▼

Validating customer assumptions requires mapping your customer, problem, and solution hypotheses, then designing structured experiments like Minimum Viable Idea (MVI) tests and alpha tests to gather real-world data.

What is a Decision Making Unit (DMU) analysis and when do I need it?▼

Decision Making Unit (DMU) analysis identifies the key stakeholders involved in a B2B purchasing decision, and is needed when defining your target customer archetype for complex organizational sales contexts.

How do I create an evidence-based customer persona using lean startup methods?▼

Creating an evidence-based customer persona involves running community launches and alpha tests to collect empirical data, which is then used to build a validated Ideal Customer Profile (ICP) instead of relying on guesswork.

Can I use this customer validation approach for B2B contexts?▼

Yes, this customer validation approach supports B2B contexts by mapping the Decision Making Unit (DMU) alongside customer archetype creation, ensuring your service meets complex organizational market needs.

What is the best way to test a Minimum Viable Idea before building a product?▼

The best way to test a Minimum Viable Idea (MVI) is to design structured experiments like landing page tests to gauge market interest, then interview early sign-ups to validate your target customer archetypes empirically.

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