/echo-feedback

EchoUser Research

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.

Install

This skill

Install Echo Feedback

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install this skill

$ claude plugin install echo-feedback@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-feedback

When to use

When a large volume of qualitative feedback needs to be processed and prioritized before a planning cycle. When NPS responses or support tickets are accumulating without being synthesized into product decisions. When a quarterly business review needs a user voice section backed by actual feedback data rather than anecdotes.

Deep dive

AI Customer Feedback Synthesis

Customer feedback piles up across tools. /echo-feedback clusters tickets, NPS, reviews, and surveys by theme with frequency counts and an insight report.

Read the article

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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…

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/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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/echo-recon

Scans the repository and linked documents for existing user research: persona documents, interview notes, survey results, JTBD maps, feedback analysis reports, and prior Echo outputs. Summarizes what is currently known about users and flags where knowledge is thin, outdated, or entirely missing.

Before starting a new research initiative to avoid…

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