What research frameworks are supported?

The skill utilizes industry-standard frameworks including Christensen’s JTBD, Ehrenberg-Bass's 'How Brands Grow' principles, and Mouncey & Wimmer’s Forces of Progress model.

Does it help with survey design?

Absolutely. It includes best practices for question types, response scales (Likert, NPS), and quality gates to ensure your sample sizes provide statistically reliable insights.

Can I use this for churn analysis?

Yes, it includes a comprehensive churn analysis framework that covers root cause analysis, predictive signals, and specific interview guides for departing customers.

How does this skill handle persona development?

It strictly forbids 'fictional' personas. Instead, it provides templates for evidence-based personas derived from interviews, surveys, and transaction data, focusing on behavioral clusters rather than arbitrary demographics.

Customer Research & Insights

Name: Customer Research & Insights
Author: iclaudioo

byiclaudioo

0•

Marketing Automation

Conducts rigorous, evidence-based customer research using Jobs-to-be-Done and Ehrenberg-Bass methodologies to uncover actionable market insights.

This skill equips Claude with the frameworks needed to perform professional-grade customer research, moving beyond assumptions to systematic evidence. It integrates core scientific principles including Christensen's Jobs-to-be-Done (JTBD), Ehrenberg-Bass growth models, and Kahneman's behavioral economics. Users can generate data-driven personas, map Voice of Customer (VoC) touchpoints, and conduct deep-dive churn analyses. By enforcing strict research ethics and statistical rigor, the skill ensures that marketing strategies are built on real behavioral data rather than demographic stereotypes.

Key Features

01Jobs-to-be-Done (JTBD) interview frameworks and discovery reporting

020 GitHub stars

03Evidence-based persona development using real data clusters and behavioral patterns

04Churn analysis framework identifying predictive signals and root causes

05Voice of Customer (VoC) touchpoint mapping with NPS, CSAT, and CES metrics

06Scientific survey design tools including bias prevention and quality gates

Use Cases

01Building non-fictional personas based on transaction data and interview insights

02Setting up a systematic feedback loop across website, support, and sales touchpoints

03Reconstructing the customer decision journey to identify 'Push' and 'Pull' switching factors

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add iclaudioo/marketing-science-skills customer-research

For use in Claude.ai and ChatGPT

Key Features

01Jobs-to-be-Done (JTBD) interview frameworks and discovery reporting

020 GitHub stars

03Evidence-based persona development using real data clusters and behavioral patterns

04Churn analysis framework identifying predictive signals and root causes

05Voice of Customer (VoC) touchpoint mapping with NPS, CSAT, and CES metrics

06Scientific survey design tools including bias prevention and quality gates

Use Cases

01Building non-fictional personas based on transaction data and interview insights

02Setting up a systematic feedback loop across website, support, and sales touchpoints

03Reconstructing the customer decision journey to identify 'Push' and 'Pull' switching factors

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add iclaudioo/marketing-science-skills customer-research

For use in Claude.ai and ChatGPT