user-segmentation

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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.

AI & Automation 16,661 stars 1717 forks Updated 5 days ago MIT

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Skill Content

# 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) 1. **Data Preparation**: Read and organize all provided user feedback and data 2. **Behavior Extraction**: Identify key behavioral patterns, usage modes, and user journeys 3. **Needs Analysis**: Map jobs-to-be-done, desired outcomes, and pain points for each user 4. **Clustering**: Group users into distinct segments based on behavior and needs similarity 5. **Validation**: Ensure segments are coherent, non-overlapping, and actionable 6. **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 o...

Details

Author
phuryn
Repository
phuryn/pm-skills
Created
3 months ago
Last Updated
5 days ago
Language
N/A
License
MIT

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