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customer-discovery

Generate JTBD statements, personas, and evidence summaries for customer discovery.

3|Updated Nov 27, 2025
Search Tags:#validation#market research#persona#customer discovery#jtbd#evidence gathering
One-click install
npx skills add https://github.com/thinkbigleaders/claude-innovation-skills --skill customer-discovery-thinkbigleaders
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-discovery
Source: https://github.com/thinkbigleaders/claude-innovation-skills/tree/main/customer-discovery
Command: npx skills add https://github.com/thinkbigleaders/claude-innovation-skills --skill customer-discovery-thinkbigleaders

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Build deep, evidence-backed understanding of customer needs before designing solutions to avoid costly assumptions and misaligned product-market fit. This Skill combines Jobs-to-be-Done analysis, culturally grounded persona creation, and time-boxed evidence gathering to reveal pains, gains, and opportunities across global markets.

Core Features & Use Cases

  • JTBD Analysis: Create clear, three-part job statements covering functional, emotional, and social jobs plus detailed pains and gains.
  • Globally Diverse Personas: Produce vivid, culturally specific personas (rotating regions) that include behaviors, payment methods, and memorable quotes.
  • Evidence Gathering Framework: Time-boxed research guidance (quick/standard/deep) across social listening, competitor analysis, customer feedback, trend scanning, and direct research with synthesis templates.
  • Execution Modes & Templates: Interactive stepwise guidance with checkpoints or autonomous batch generation; includes reference guides and a ready-to-fill discovery template for outputs.
  • Use Cases: Early-stage discovery, idea validation, pre-ideation research, preparing PRFAQs, and informing ideation/evaluation workflows.

Quick Start

Use the customer-discovery skill in interactive mode to generate a JTBD statement, a culturally grounded persona, and a standard-depth evidence summary for [your problem space].

Frequently Asked Questions about customer-discovery

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

FAQPage Schema
How do I validate customer needs using Jobs-to-be-Done analysis?▼

Validate customer needs by generating three-part job statements that cover functional, emotional, and social jobs alongside detailed pains and gains. This analysis reveals core customer motivations and prevents building solutions based on untested assumptions.

What is the best way to create culturally grounded personas for global market research?▼

Create culturally grounded personas by generating vivid profiles that rotate across global regions to include specific behaviors, local payment methods, and memorable quotes. This approach ensures market research accurately reflects diverse consumer contexts.

How do I gather evidence for early-stage product discovery?▼

Gather evidence for product discovery using a time-boxed research framework that guides quick, standard, or deep searches across social listening, competitor analysis, and customer feedback. The process outputs structured synthesis summaries for immediate use.

Can I run customer discovery research autonomously or does it require stepwise interaction?▼

You can run customer discovery research either through interactive stepwise guidance with checkpoints or via autonomous batch generation. Both execution modes produce structured JTBD statements, personas, and evidence summaries using provided templates.

Does this customer discovery workflow apply to B2B contexts or is it limited to consumer products?▼

This customer discovery workflow applies to both B2B and consumer contexts for early-stage product discovery, idea validation, and market research. It generates structured JTBD statements and evidence summaries regardless of your specific market segment.

When should I use deep research depth versus standard evidence gathering for idea validation?▼

Use deep research depth for comprehensive idea validation requiring extensive trend scanning and direct research, while standard evidence gathering suits faster validation cycles. Both depths utilize structured templates to synthesize social listening and competitor analysis.

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