/echo-segment

EchoUser Research

Builds user segments and persona cards from mixed data sources: analytics cohort data, CRM attributes, support ticket patterns, app store review analysis, and qualitative interview signals combined. Each persona includes goals, pain points, behavioral patterns, distinguishing characteristics, and confidence level on each attribute.

Install

This skill

Install Echo Segment

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install this skill

$ claude plugin install echo-segment@tonone-ai

The agent

Install Echo

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install Echo

$ claude plugin install echo@tonone-ai

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Full installation guide

Invoke this skill

Command|$ /echo-segment

When to use

When the team is building a feature and cannot agree on who the primary user is. When targeting a new market segment and need personas grounded in current data rather than assumptions that may be years old. When existing personas are outdated and need to be rebuilt from current behavior data.

Deep dive

AI User Segmentation and Personas

Personas built from one source mislead. /echo-segment combines analytics, CRM, support, reviews, and interviews into personas with confidence levels per attribute.

Read the article

More from Echo

All Echo skills

EchoUser Research

/echo-interview

Synthesizes user interview notes, customer feedback documents, or support ticket samples into structured insights. Extracts Jobs-to-Be-Done statements, identifies recurring pain points with frequency and severity, and produces a structured insight report with supporting evidence quotes. Works from any raw input you provide.

When you have completed user interviews and need t…

EchoUser Research

/echo-feedback

Clusters and synthesizes qualitative feedback from multiple sources: support tickets, NPS verbatims, app store reviews, churn interview notes, and survey responses. Separates signal from noise, groups findings by theme with frequency counts, and produces an insight report that identifies the most important problems to solve.

When a large volume of qualitative feedback needs …

EchoUser Research

/echo-jobs

Takes raw user input in any form: interview transcripts, support tickets, survey responses, or user descriptions and produces structured JTBD statements. Each statement includes the functional job the user is trying to do, the emotional job (how they want to feel while doing it), frequency, intensity, and an underserved score.

When defining the core use case for a new feature …

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