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synthesize-feedback

Cluster customer feedback into themes with counts, sentiment, and roadmap alignment.

6|Updated Feb 19, 2026
Search Tags:#feedback#roadmap#synthesis#sentiment-analysis#voc#theme-clustering
One-click install
npx skills add https://github.com/jerelvelarde/chalk-skills --skill synthesize-feedback-jerelvelarde
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: synthesize-feedback
Source: https://github.com/jerelvelarde/chalk-skills/tree/main/skills/synthesize-feedback
Command: npx skills add https://github.com/jerelvelarde/chalk-skills --skill synthesize-feedback-jerelvelarde

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthesizes customer feedback into thematically organized insights by clustering raw data, quantifying frequency and sentiment, and linking signal to roadmap items to support product decisions.

Core Features & Use Cases

  • VoC clustering: group feedback into 5-10 themes with labels, descriptions, and representative quotes.
  • Sentiment quantification: compute per-theme sentiment and trend direction when historical data is available.
  • Roadmap alignment: map themes to PRDs and roadmap items to identify addressed, partially addressed, or unaddressed gaps.

Quick Start

Cluster the provided feedback into themes and map them to the product roadmap to produce a synthesis.

Frequently Asked Questions about synthesize-feedback

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I cluster customer feedback into actionable product themes?▼

Cluster customer feedback into actionable themes by grouping raw data into 5-10 cohesive thematic insights. This synthesis includes labels, descriptions, representative quotes, and sentiment quantification to directly support product decisions.

Can I map Voice of the Customer feedback directly to my product roadmap?▼

Yes, VoC feedback synthesis maps identified themes directly to PRDs and roadmap items. It highlights addressed, partially addressed, or unaddressed gaps to ensure product decisions align with customer needs.

How does sentiment analysis work when synthesizing qualitative feedback?▼

Sentiment analysis during feedback synthesis computes per-theme sentiment scores and identifies trend directions. When historical data is available, it tracks sentiment shifts to quantify the evolving emotional context of customer feedback.

What is the best way to process raw VoC data for theme clustering?▼

Process raw VoC data from inline inputs or referenced files by cross-checking it against product context. The synthesis normalizes and quantifies the data to deliver prioritized thematic insights for product management.

Do I need product documentation available to analyze customer feedback themes?▼

Yes, the synthesis cross-checks raw feedback against product context stored in .chalk/docs/product/. This ensures generated themes are accurately mapped to existing PRDs and roadmap alignment.

What limitations exist when clustering feedback without historical data?▼

Without historical data, feedback clustering still groups raw data into themes and computes current sentiment, but it cannot calculate trend directions. You will receive thematic insights without longitudinal sentiment tracking.

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