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attitudinal-segmentation

Generate attitudinal user segments and definitions from product personas.

70|34|Updated Apr 7, 2026
Search Tags:#messaging#onboarding#personas#conversion#survey#segmentation#attitudinal
One-click install
npx skills add https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty --skill attitudinal-segmentation-productfculty-aipm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: attitudinal-segmentation
Source: https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty/tree/main/skills/attitudinal-segmentation
Command: npx skills add https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty --skill attitudinal-segmentation-productfculty-aipm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Moves teams beyond demographic labels to attitudinal and behavioral segments that better predict product adoption, messaging effectiveness, and retention for AI-enabled products.

Core Features & Use Cases

  • Attitudinal Dimensions: Defines adoption attitude, AI-specific attitude (Embracer / Neutral / Skeptic), and craft orientation to categorize users.
  • Segmentation Analysis: Reads product personas and user memory to estimate segment distributions and surface indicators for each group.
  • Implications & Conversion Design: Produces an implications matrix (product, retention, messaging), a Skeptic→Neutral→Embracer conversion path, and a short survey to measure attitudes.
  • Use Case: Convert low-engagement enterprise users by identifying AI Skeptics in your personas, designing a credibility-first onboarding, and measuring uplift via a targeted experiment.

Quick Start

Segment our users by AI attitude using context from memory/user-profile.md and context/product/personas.md and return segment definitions, an implications matrix, and a conversion path.

Frequently Asked Questions about attitudinal-segmentation

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

FAQPage Schema
How do I segment users by AI attitude for product personas?▼

Segment users by AI attitude by categorizing them as Embracers, Neutrals, or Skeptics based on adoption attitude and craft orientation. This augments demographic personas to better predict product adoption and retention for AI-enabled products.

What is attitudinal segmentation and when do I need it for onboarding flows?▼

Attitudinal segmentation groups users by their attitude toward AI, moving beyond demographic labels. You need it when designing onboarding flows, messaging, or retention strategies for AI-powered products where user adoption behavior varies significantly.

How do I design a conversion path to move AI Skeptics to Neutrals?▼

Design a conversion path by generating an implications matrix covering product, retention, and messaging strategies. This creates a credibility-first roadmap to transition Skeptics toward Neutrals and ultimately Embracers using targeted experiments.

Can I use existing user profile memory and personas to generate attitudinal segments?▼

Yes, you can use existing user profile memory and product personas as input. The segmentation analysis reads these sources to estimate segment distributions and surface behavioral indicators for each attitudinal group.

What survey questions should I ask to measure user attitudes toward AI?▼

Use the suggested survey questions generated by the segmentation analysis to measure adoption attitude, AI-specific attitude, and craft orientation. These questions validate segment distributions and track shifts across the conversion path.

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