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AI Writing Automation for Mac | Echoo

Customer Feedback to Report

Aggregate raw customer feedback from multiple sources, identify recurring themes and sentiment patterns, and produce a professional report for stakeholders.

4 steps

Workflow Steps

  1. Collect and Paste Feedback

    Gather customer feedback from surveys, support tickets, reviews, or NPS responses. Paste them all into Echoo together.

    command: action-items
  2. Extract Themes and Patterns

    Echoo analyzes the feedback to identify recurring themes, sentiment (positive/negative/neutral), and frequency of each issue or praise point.

    command: brainstorm
  3. Generate Action Items

    Convert the identified themes into prioritized recommendations with clear ownership suggestions.

    command: action-items
  4. Format as Professional Report

    Structure everything into a stakeholder-ready report with an executive summary, detailed findings, and recommended next steps.

    command: professional-tone

Example

Input

Feedback batch (last 30 days): "Love the product but the mobile app crashes constantly on Android" - App Store review "Your support team was incredibly helpful resolving my billing issue" - NPS comment (score: 9) "The onboarding took way too long. I almost gave up after step 5" - Survey response "Can't figure out how to export my data. The help docs are outdated" - Support ticket "Best tool I've used for project management. The timeline view is chef's kiss" - G2 review "Android app is unusable. Fix it or I'm switching to Asana" - Support ticket "Why is there no dark mode? It's 2026" - Feature request "The new calendar integration saved me hours this week" - NPS comment (score: 10) "Onboarding wizard is confusing. Too many steps to get started" - Survey response

Output

# Customer Feedback Report -- March 2026 ## Executive Summary 9 pieces of feedback analyzed across App Store, NPS surveys, support tickets, G2, and feature requests. Overall sentiment is mixed: strong praise for core features (timeline view, calendar integration, support quality) offset by significant friction in mobile stability and onboarding. ## Key Themes ### Critical Issues | Theme | Mentions | Sentiment | Priority | |-------|----------|-----------|----------| | Android app stability | 2 | Negative | P0 | | Onboarding complexity | 2 | Negative | P1 | | Outdated help documentation | 1 | Negative | P1 | ### Positive Signals | Theme | Mentions | Sentiment | |-------|----------|-----------| | Timeline view | 1 | Very positive | | Calendar integration | 1 | Very positive | | Support team quality | 1 | Very positive | ### Feature Requests - Dark mode (1 mention) - Data export clarity (1 mention) ## Recommended Actions 1. **Android stability sprint** -- dedicate next sprint to crash fixes. Churn risk is explicit. 2. **Simplify onboarding** -- reduce wizard steps; consider progressive disclosure. 3. **Update help docs** -- audit and refresh export documentation as a quick win. 4. **Roadmap dark mode** -- low effort, high satisfaction signal. ## Methodology Feedback collected from 5 sources over 30 days. Themes identified by frequency and severity. Prioritization based on churn risk and implementation effort.

Tips

1

Include the source of each piece of feedback (survey, ticket, review) for better context.

2

Paste at least 8-10 feedback items for meaningful theme detection.

3

Add NPS scores or star ratings alongside comments when available.

4

Run this workflow monthly to track how themes change over time.

Frequently Asked Questions

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