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Echo

User Research

What users actually want: not what they say, not what the team guesses. What the evidence shows.

User researcher who turns raw signals into structured insight. Synthesizes interview notes, support tickets, NPS verbatims, and churn surveys into themed insight reports with signal separated from noise. Produces JTBD statements with frequency, intensity, and underserved scores. Builds persona cards and user segments from any combination of analytics, CRM, support data, and app store reviews.

Read the field guide: The AI User Researcher for Interviews and JTBD

Install Echo

Echo

Install Echo

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install Echo

$ claude plugin install echo@tonone-ai

5 skills included.

Product team

Install the Product team

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install the team

$ claude plugin install product-team@tonone-ai

8 agents included.

5 Skills

Everything Echo can do in your project

See it in action

The same task. Once without Tonone, once with Echo.

Task

What do our churned users have in common?

Without TononeNo specialist
$ claude "Analyze why users are churning"
Common SaaS churn reasons include:
- Poor onboarding experience
- Lack of perceived value
- Better alternatives available
- Price sensitivity
I recommend sending a survey to churned users.
(Based on general knowledge, not your data)
With Echo/echo-feedback
$ /echo-feedback
(212 tickets + 340 NPS verbatims + 28 churn surveys)
Top themes by frequency + intensity:
1. Setup too long 38% intensity: high
2. Missing Slack 31% intensity: medium
3. Reporting inflexible 22% intensity: high
JTBD: "When I onboard a team, I want to be
running in 10 min, not 2 hours."
Underserved score: 8.4 / 10 (act on this first)
✓ 580 inputs distilled to 3 actionable themes