validating-customers

Map customer assumptions and design experiments to validate ICP, pain, and solution.

Updated Apr 6, 2026

Search Tags:#assumptions #validate #archetype #mvi #icp #alpha-testing #dmu

Ready to run

npx skills add https://github.com/Indiralume/gtm-skills --skill validating-customers-indiralume

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: validating-customers
Source: https://github.com/Indiralume/gtm-skills/tree/main/validating-customers
Command: npx skills add https://github.com/Indiralume/gtm-skills --skill validating-customers-indiralume

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validate and discover customer personas and archetypes empirically, preventing reliance on fictional personas and untested assumptions during Phase 3.

Core Features & Use Cases

Assumption mapping and scoring
Experiment design and leap-of-faith testing
MVI planning and alpha-test preparation
Community-launch planning and archetype synthesis
DMU mapping and archetype validation

Quick Start

Review Phase 2 outputs and begin Task 1 by drafting your Assumption Map.

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 about my ICP without relying on fictional personas?▼

You can validate customer assumptions by mapping ICP and pain points, designing experiments, and running leap-of-faith tests to produce evidence-backed archetypes instead of fictional personas.

What is the best way to map the decision making unit (DMU) for a new product launch?▼

DMU mapping structures your decision making unit analysis by identifying key roles and validating them against empirical evidence gathered during alpha testing and community launches.

How do I design experiments for minimum viable increment (MVI) planning and alpha testing?▼

Design MVI experiments by scoring assumption maps, prioritizing leap-of-faith variables, and structuring reproducible alpha test plans to validate customer pain and solution fit.

Can I use assumption mapping to prepare for a community launch?▼

Assumption mapping directly supports community launch planning by scoring untested hypotheses and synthesizing validated archetypes to ensure your rollout targets empirically discovered customer segments.

What outputs should I expect from a structured customer validation process?▼

Structured customer validation yields an assumption map, an MVI plan, alpha test results, a community launch plan, archetype analysis, and DMU mapping as reproducible, evidence-backed outputs.

When do I need to start archetype formation during my product validation phase?▼

Archetype formation begins after alpha testing and community launches yield sufficient empirical data, allowing you to synthesize validated pain points and solution behaviors into evidence-backed profiles.