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validating-customers

Map customer, problem, solution, and business assumptions for Phase 3 validation.

233|64|Updated Mar 12, 2026
Search Tags:#ICP#validate#customer#experiment-design#MVI#community-launch#alpha-testing
One-click install
npx skills add https://github.com/GTM-Strategist/gtm-strategist-skills --skill validating-customers-gtm-strategist
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: validating-customers
Source: https://github.com/GTM-Strategist/gtm-strategist-skills/tree/main/.claude/skills/validating-customers
Command: npx skills add https://github.com/GTM-Strategist/gtm-strategist-skills --skill validating-customers-gtm-strategist

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams validate customer assumptions, test their ICP, design experiments, and build evidence-based personas for Phase 3 of the GTM Strategist methodology.

Core Features & Use Cases

  • Assumption Mapping: Systematically map customer, problem, solution, and business assumptions and identify leap-of-faith bets to test.
  • Experiment Planning: Design 3-5 experiments to validate high-impact assumptions using Phase 2 data and structured outputs.
  • MVI & Alpha Testing Guidance: Plan minimum viable ideas, alpha tests, and community launches to gather real feedback.
  • Archetype & DMU Refinement: Update customer archetypes and DMU maps as new evidence is gathered to inform GTM decisions.

Quick Start

Begin by loading Phase 2 data and starting Task 1: Assumption Mapping to kick off the validation workflow.

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 and identify which ones to test first?▼

To validate customer assumptions, systematically map customer, problem, solution, and business assumptions, then isolate your leap-of-faith bets to prioritize high-impact hypothesis testing using existing data.

What is the best way to design experiments for testing an ICP?▼

The best way to design ICP experiments is to structure 3-5 targeted tests that validate your specific assumptions, documenting success metrics, timelines, and expected outputs for each trial.

How do I plan alpha testing and community launches to gather customer feedback?▼

Plan alpha testing and community launches by defining minimum viable ideas (MVI) to deploy, establishing real-world feedback loops to gather evidence before a full market rollout.

How do I update customer archetypes and DMU maps during the validation process?▼

Update customer archetypes and decision-making unit (DMU) maps by continuously feeding new validation evidence back into the profiles, ensuring your go-to-market decisions reflect real customer behavior.

What data do I need before starting customer validation experiments?▼

You need Phase 2 research data loaded into your workspace to inform assumption mapping, provide context for experiment design, and guide your initial archetype development.

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