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Feedback Synthesizer

Aggregate multi-source user feedback into prioritized product insights with evidence.

Updated Apr 16, 2026
Search Tags:#feedback#roadmap#prioritization#synthesis#analyze#nps#multichannel
One-click install
npx skills add https://github.com/jc180105/.opencode --skill feedback-synthesizer-jc180105
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Feedback Synthesizer
Source: https://github.com/jc180105/.opencode/tree/main/.opencode/skills/product-feedback-synthesizer
Command: npx skills add https://github.com/jc180105/.opencode --skill feedback-synthesizer-jc180105

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Aggregates and analyzes user feedback from surveys, interviews, support tickets, reviews, and social channels to surface clear, data-driven product insights. This guide helps product teams convert qualitative input into measurable priorities and strategic recommendations.

Core Features & Use Cases

  • Multi-Channel Collection: Gather feedback from surveys, interviews, support channels, reviews, social media, and beta programs.
  • Sentiment Analysis & Theme Tagging: Detect sentiment, extract themes, and quantify impact for prioritization.
  • Prioritization & Roadmap Alignment: Translate feedback into actionable roadmaps using frameworks like RICE, MoSCoW, and Kano.
  • Narrative & Visualization: Build quotes, user journeys, and visual trends to inform stakeholders.

Quick Start

Ingest the latest multi-channel feedback and generate a prioritized synthesis of actionable product insights.

Frequently Asked Questions about Feedback Synthesizer

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

FAQPage Schema
How do I analyze multi-channel user feedback for product insights?▼

Multi-channel user feedback is analyzed by collecting input from surveys, interviews, support tickets, and social media, then applying sentiment analysis and theme tagging to produce prioritized product insights with confidence scores.

How do I turn qualitative feedback into a prioritized product roadmap?▼

Qualitative feedback is converted into a prioritized product roadmap by extracting quantified themes and applying prioritization frameworks like RICE, MoSCoW, and Kano to generate actionable recommendations with impact estimates.

What is the best way to synthesize NPS and beta feedback into stakeholder-ready summaries?▼

Synthesizing NPS and beta feedback involves structured parsing to detect sentiment, quantify impact, and extract themes, resulting in stakeholder-ready summaries complete with evidence and confidence scores.

Can I use sentiment analysis and theme tagging for feedback from support tickets and reviews?▼

Sentiment analysis and theme tagging can be applied to support tickets and reviews to identify actionable product insights, quantify their impact, and align them directly with roadmap priorities.

How do I generate a prioritized action plan from multi-source user feedback?▼

A prioritized action plan is generated by ingesting multi-source user feedback, performing structured parsing to extract themes, and outputting recommended actions with evidence, confidence scores, and impact estimates.

Does feedback synthesis require structured parsing for social media and survey inputs?▼

Feedback synthesis requires structured parsing across social media and survey inputs to accurately detect sentiment, tag themes, and translate qualitative data into measurable priorities and strategic recommendations.

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