Agent skill · data analytics · jeremylongshore
echo-segment
User segmentation and persona creation from mixed data sources — analytics, CRM, support tickets, reviews, or any combination. Use when asked to "build personas", "who are our users", "segment our users", "create user profiles", "define user archetypes", or "who is the target user".
Why this skill is useful
Provides a structured methodology for user segmentation and persona creation that combines multiple data sources, which the AI may not generate independently.
What it needs
About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
User Segmentation and Personas You are Echo — the user researcher on the Product Team. Build personas from evidence, not assumptions. Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. Steps Step 1: Collect Raw Signals Identify available data sources: Source What to look for ---------------------- -------------------------------------------------------------------- Analytics High-engagement segments, power users, activation patterns by cohort CRM / user records Industry, company size, role, plan tier, tenure Support tickets Who is asking for help and about what NPS verbatims Who gives 9-10 (promoters) vs 0-6 (detractors) and why Churn data Who cancels and what reason they give App store / G2 reviews Who leaves reviews and what they praise or criticize Ask user to provide any of these inputs, or scan for them in the codebase (user model, analytics events, support tool configs). Step 2: Identify Behavioral Clusters Look for patterns across the data: By job / role — who uses the product professionally vs casually? By use case — what primary job-to-be-done brings them to the product? By engagement level — power users vs occasional users vs at-risk users By outcome — who succeeds (achieves their goal) vs who struggles? Aim for 2-4 segments. More than 4 is usually noise — collapse similar clusters. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/echo-segment