attitudinal-segmentation
CommunitySegment users by attitude, not demographics.
Product & Management#personas#segmentation#product-management#user-behavior#psychographics#attitudinal
AuthorHassan-Ali-Mehdi-3024
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Segmenting users by attitudinal dimensions helps product teams go beyond demographics to understand how people think and behave, enabling more precise product decisions and targeted communications.
Core Features & Use Cases
- Attitudinal dimensions: Adoption attitude (Pioneer, Early Adopter, Pragmatist, Conservative, Skeptic) and AI-specific attitudes (AI Embracer, AI Neutral, AI Skeptic) plus craft orientation (Craft-protective, Output-focused, Collaborative).
- Application scenarios: Prioritizing feature bets, tailoring onboarding, and designing messaging for AI products based on attitudinal segments.
- Use Case: For a new AI feature, segment users into Embracers vs Skeptics and craft onboarding flows to maximize adoption and reduce churn.
Quick Start
Define attitudinal segments for your user base using existing data and draft onboarding messages tailored to each segment.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: attitudinal-segmentation Download link: https://github.com/Hassan-Ali-Mehdi-3024/PM-AIOS/archive/main.zip#attitudinal-segmentation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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