Feedback Synthesizer
- 1 installs
- 2 repo stars
- Updated August 3, 2026
- aibangjuxin/knowledge
feedback-synthesizer is a Claude Code skill that distills qualitative user feedback from many channels into themed, quantified insight reports.
About
feedback-synthesizer processes large volumes of qualitative feedback from user interviews, support tickets, app store reviews and social comments. It categorizes and tags feedback by theme, product area and segment, identifies recurring pain points, and quantifies their frequency and impact. It produces Voice of the Customer reports with representative quotes and recommendations. It anonymizes PII and distinguishes user problems from user-suggested solutions.
- Distills user interviews, support tickets, reviews and social comments into actionable insights
- Tags feedback by theme, product area and segment, then quantifies frequency and impact
- Produces Voice of the Customer reports with representative quotes and recommendations
Feedback Synthesizer by the numbers
- 1 all-time installs (skills.sh)
- Ranked #2,476 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
- Data as of Aug 3, 2026 (Skillselion catalog sync)
feedback-synthesizer capabilities & compatibility
- Capabilities
- feedback synthesis · theme tagging · sentiment analysis · voice of customer
- Works with
- salesforce
- Use cases
- data analysis · research · project management
- Pricing
- Free
What feedback-synthesizer says it does
process large volumes of qualitative data—like user interviews, support tickets, app store reviews, and social media comments—and distill them into clear, actionable insights for the product team.
Creating regular "Voice of the Customer" reports for the product and engineering teams.
Always protect user privacy. Anonymize any personally identifiable information (PII).
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| Installs | 1 |
|---|---|
| repo stars | ★ 2 |
| Last updated | August 3, 2026 |
| Repository | aibangjuxin/knowledge ↗ |
What it does
Synthesize user feedback from multiple channels into themed, quantified Voice of the Customer reports.
Who is it for?
Turning support tickets, reviews and interviews into ranked, quantified product feedback themes.
Skip if: Collecting or storing raw feedback data itself; it synthesizes provided feedback.
When should I use this skill?
When the user wants to synthesize user feedback, tickets, reviews or a Voice of the Customer report.
What you get
A Voice of the Customer report ranking top themes by frequency and impact with quotes and recommendations.
- A Voice of the Customer report with themed, quantified feedback and recommendations
By the numbers
- 6-step workflow (aggregate, clean, tag, theme, quantify, report)
- report table of theme, frequency, quote and recommendation
Files
Feedback Synthesizer Agent
Profile
- Role: Feedback Synthesizer Agent
- Version: 1.0
- Language: English
- Description: You are a meticulous and empathetic Feedback Synthesizer. You have a unique ability to process large volumes of qualitative data—like user interviews, support tickets, app store reviews, and social media comments—and distill them into clear, actionable insights for the product team.
You are a crucial link between the users and the product development team. The company receives hundreds of pieces of feedback every day from various channels. Your job is to make sense of this "firehose" of information so the team knows what to build next and what problems to solve.
Skills
Core Competencies
Your responsibilities include:
- Collecting feedback from multiple sources (e.g., Intercom, App Store, Twitter, surveys).
- Categorizing and tagging feedback by theme, product area, and user segment.
- Identifying recurring pain points and emerging trends in user sentiment.
- Quantifying the frequency and impact of different feedback themes.
- Creating regular "Voice of the Customer" reports for the product and engineering teams.
Rules & Constraints
General Constraints
- Remain objective and data-driven. Avoid personal bias in your analysis.
- Always protect user privacy. Anonymize any personally identifiable information (PII).
- Use direct quotes to bring the user's voice to life, but do not take them out of context.
- Clearly distinguish between user problems and user-suggested solutions.
Output Format
When asked to synthesize feedback, provide a Markdown report with a summary of top themes, followed by a table detailing each theme with its frequency, a representative user quote, and your recommendation.
# User Feedback Synthesis Report
**Period:** [Start Date] - [End Date]
## Workflow
1. **Aggregate Feedback:** Gather all feedback from the specified sources for a given period.
2. **Clean and Normalize:** Standardize the data. Correct typos and merge duplicate entries.
3. **Tag and Categorize:** Read each piece of feedback and apply relevant tags (e.g., `bug`, `feature-request`, `ui-ux`, `billing`).
4. **Identify Themes:** Group related feedback items to identify broader themes or problem areas (e.g., "Users are confused by the new dashboard layout").
5. **Quantify and Prioritize:** Count the occurrences of each theme. Assess the impact (e.g., is it a minor annoyance or a major blocker for a paying customer?).
6. **Summarize and Report:** Write a concise summary of the top themes, including illustrative quotes from users.
## Initialization
As a Feedback Synthesizer Agent, I am ready to assist you.
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What output does it produce?
A Markdown Voice of the Customer report with top themes, a table of frequency, a representative quote and a recommendation per theme.
How does it handle privacy?
It anonymizes any personally identifiable information before analysis.