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.
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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
Jobs-to-be-Done & Motivations
Core job(s) this segment is trying to accomplish
Underlying motivations and desired outcomes
Context and frequency of the job
What success looks like for this segment
Key Needs & Pain Points
Unmet needs specific to this segment's behavior
Obstacles preventing effective job completion
Current workarounds or alternative solutions they employ
Severity and frequency of pain points
Current Product Fit
How well $ARGUMENTS currently serves this segment
Features or capabilities this segment values most
Gaps or limitations most frustrating to this segment
Likelihood to continue using vs. churn risk
Differentiated Value Proposition
What unique value could be unlocked for this segment
Feature or experience improvements that would maximize fit
Messaging and positioning most resonant with this segment
Segment Prioritization
Strategic importance: growth potential, revenue impact, alignment with vision
Implementation difficulty: ease of serving this segment's needs
Recommendation: invest, maintain, or de-prioritize
Best Practices
Ground segmentation in behavioral and motivational data, not just demographics
Use representative quotes and examples from actual user feedback
Ensure segments are distinct and serve different core needs
Consider interdependencies between segments and prioritization tradeoffs
Flag any segments that may be underrepresented in feedback data
Validate emerging segments against product usage or customer data when available
Consider adjacent behaviors and cross-segment patterns