User SegmentationSAFE
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Overview
PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
79d4dcb0f9d3OBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- 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) 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 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 - [Market Research: Advanced Techniques](https://www.productcompass.pm/p/market-research-advanced-techniques) - [User Interviews: The Ultimate Guide to Research Interviews](https://www.productcompass.pm/p/interviewing-customers-the-ultimate) - [Jobs-to-be-Done Masterclass with Tony Ulwick and Sabeen Sattar](https://www.productcompass.pm/p/jobs-to-be-done-masterclass-with) (video course)
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
79d4dcb0f9d3full audit observations/trust-audit/skill/phuryn__user-segmentation.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 79d4dcb0f9d3 | SAFE | B | 89 | first audit |
Questions
What does the User Segmentation skill do?
PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
Is User Segmentation safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can User Segmentation access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (79d4dcb0f9d3), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.