user-segmentation
phuryn/pm-skills
Segment users from feedback data into 3+ distinct behavioral groups based on jobs-to-be-done and needs.
What is user-segmentation?
This skill analyzes user feedback, interviews, and usage data to identify distinct behavioral and needs-based user segments. Use it when you need to understand your user base deeply, prioritize product features for different groups, or build targeted strategies based on actual user motivations rather than demographics.
- Extracts behavioral patterns and usage modes from user feedback and data
- Maps jobs-to-be-done, desired outcomes, and pain points for each user
- Groups users into coherent, non-overlapping segments based on behavior similarity
- Develops rich segment profiles with representative quotes and characteristics
- Identifies unmet needs and gaps in current product fit for each segment
- Prioritizes segments by strategic importance and implementation difficulty
How to install user-segmentation
npx skills add https://github.com/phuryn/pm-skills --skill user-segmentationHow to use user-segmentation
- 1.Gather user feedback data (interviews, support tickets, surveys, usage logs, or product analytics)
- 2.Provide the data to the skill along with context about what product or feature you're segmenting users for
- 3.The skill will extract behavioral patterns and map jobs-to-be-done across your user base
- 4.Review the identified segments (minimum 3) with their profiles, pain points, and current product fit
- 5.Use segment profiles and prioritization recommendations to inform product strategy and messaging
Use cases
- Analyzing support tickets and customer interviews to identify distinct user groups with different needs
- Building a segmentation model from product usage logs to inform feature prioritization
- Understanding diverse feedback from surveys to tailor messaging and positioning per segment
- Discovering hidden customer groups to guide go-to-market strategy for a new product
- Evaluating churn risk by segment and identifying which groups need targeted retention efforts
- Product managers building user-centric strategies
- Researchers analyzing customer feedback and usage data
- Go-to-market teams developing targeted positioning
- Product strategists prioritizing features across user groups
- Customer success teams understanding segment-specific needs
user-segmentation FAQ
It accepts feedback data, interviews, support tickets, product usage logs, surveys, or any qualitative or quantitative user data. The more diverse your data sources, the richer the segmentation.
The skill identifies at least 3 distinct segments based on behavioral and needs-based clustering. The actual number depends on the diversity and patterns in your user data.
This skill focuses on behavioral and motivational segmentation (jobs-to-be-done, usage patterns, pain points) rather than demographics alone, surfacing more actionable customer groups.
Use them to prioritize features, tailor messaging, identify which segments to focus on, and understand what value propositions resonate with each group.
The skill will flag underrepresented segments and note data limitations. Validate emerging segments against product usage data or additional customer research when possible.
Full instructions (SKILL.md)
Source of truth, from phuryn/pm-skills.
name: user-segmentation description: "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
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
Further Reading
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