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customer-discovery-design

Generate customer discovery run-packs with kill criteria encoded in JSON.

Updated Jun 3, 2026
Search Tags:#hypothesis testing#customer discovery#customer interviews#outreach strategy#run-pack
One-click install
npx skills add https://github.com/SunshinePeace213/soriza-startup-layer --skill customer-discovery-design
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-discovery-design
Source: https://github.com/SunshinePeace213/soriza-startup-layer/tree/main/.claude/skills/customer-discovery-design
Command: npx skills add https://github.com/SunshinePeace213/soriza-startup-layer --skill customer-discovery-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a structured approach to customer discovery, allowing users to create comprehensive run-packs without sending emails or conducting interviews themselves.

Core Features & Use Cases

  • Pre-built Run-Pack: Generate a complete customer discovery run-pack, including target profiles, warm lists, and interview guides.
  • Lock Kill Criteria: Encode assumptions and questions into a JSON file for consistent criteria assessment.
  • Warm-First Approach: Focus on leveraging existing complaints and communities for initial outreach.

Quick Start

Create a customer discovery run-pack for your idea by executing the 'customer-discovery-design' skill.

Frequently Asked Questions about customer-discovery-design

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

FAQPage Schema
What is a customer discovery run-pack and how does it structure hypothesis testing?▼

A customer discovery run-pack structures hypothesis testing by encoding kill criteria into JSON and generating target profiles, warm lists, and interview guides to validate early-stage ideas.

How do I design customer interviews for early-stage idea validation?▼

Design customer interviews for idea validation by generating comprehensive interview guides and warm lists from pre-built templates, leveraging existing complaints and communities for initial outreach.

Can I generate cold-email drafts for outreach strategy without conducting manual interviews?▼

Yes, you can generate cold-email drafts and complete outreach strategies without manual interviews, as the process drafts all materials and encodes assumptions into a JSON file for assessment.

What is the best way to create target profiles for customer discovery?▼

The best way to create target profiles for customer discovery is using a warm-first approach, focusing on leveraging existing complaints and communities to build structured outreach lists.

When do I need to lock kill criteria into JSON for customer discovery?▼

Lock kill criteria into JSON during early-stage idea validation to ensure consistent criteria assessment, encoding assumptions and questions before generating target profiles and interview guides.

Does this customer discovery approach require any manual outreach or interviews?▼

No manual outreach or interviews are required, as the approach designs and drafts the entire customer discovery run-pack, including cold-email drafts and warm lists, for you to execute.

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