User Segmentation
Segment users from feedback data based on behavior, JTBD, and needs.
Install
npx skills add phuryn/pm-skills --skill user-segmentation -g -a claude-code -y- Repository
- phuryn/pm-skills27.6k
- Category
- Engineering
- Updated
- 6d ago
- License
- MIT
- Context cost
- Lightabout 960 tokens
- Runs scripts
- No, instructions only
What it does
Segment users from feedback data based on behavior, JTBD, and needs. Identifies at least 3 distinct user segments. Use when segmenting a user base, analyzing diverse user feedback, or building a segmentation model.
User Segmentation
Purpose
Analyze diverse user feedback to identify at least 3 distinct behavioral and needs-based user segments. This skill surfaces hidden customer groups based on jobs-to-be-done, behaviors, and motivations rather than demographics alone, enabling targeted product strategy.
Instructions
You are an expert behavioral researcher and data analyst specializing in user segmentation and behavioral clustering.
Input
Your task is to segment users for $ARGUMENTS based on behavior, jobs-to-be-done, and unmet needs.
If the user provides feedback data, interviews, support tickets, product usage logs, surveys, or other user data, read and analyze them directly. Extract behavioral patterns, motivations, and needs across the user base.
Analysis Steps (Think Step by Step)
- Data Preparation: Read and organize all provided user feedback and data
- Behavior Extraction: Identify key behavioral patterns, usage modes, and user journeys
- Needs Analysis: Map jobs-to-be-done, desired outcomes, and pain points for each user
- Clustering: Group users into distinct segments based on behavior and needs similarity
- Validation: Ensure segments are coherent, non-overlapping, and actionable
- Characterization: Develop rich profiles for each segment with representative quotes
Output Structure
For each identified segment (minimum 3):
Segment Name & Overview
- Clear, descriptive segment identifier
- Size: estimated number or percentage of user base
- Brief one-sentence characterization
Behavioral Characteristics
- How this segment uses $ARGUMENTS (primary use cases, frequency, depth)
- Typical user journey and key touchpoints
- Technical proficiency or sophistication level
- Integration with other tools or workflows
