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agency-feedback-synthesizer

Synthesize multi-channel user feedback into prioritized product insights.

Updated Feb 11, 2026
Search Tags:#feedback#dashboards#prioritization#synthesis#user-research#sentiment-analysis#voice-of-customer
One-click install
npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-feedback-synthesizer-augustoheiss
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agency-feedback-synthesizer
Source: https://github.com/augustoheiss/LogicDefense/tree/main/.gemini/skills/agency-feedback-synthesizer
Command: npx skills add https://github.com/augustoheiss/LogicDefense --skill agency-feedback-synthesizer-augustoheiss

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates fragmented user feedback from surveys, support tickets, reviews, interviews, and analytics into validated, prioritized product insights so teams can make data-driven roadmap and CX decisions instead of guessing.

Core Features & Use Cases

  • Multi-channel collection: ingest and normalize feedback from surveys, interviews, support systems, app store reviews, social media, and behavioral analytics.
  • Sentiment & thematic analysis: automated emotion detection, thematic coding, verbatim extraction, and confidence scoring to surface true pain points.
  • Prioritization & impact assessment: apply frameworks such as RICE, Kano, and correlation analysis to estimate business impact, effort, and ROI.
  • Deliverables: executive dashboards, product-team reports with user stories and acceptance criteria, and customer-success playbooks for common issues and interventions.
  • Use Case: A product manager consolidates one month of support tickets, survey responses, and app reviews to produce a prioritized roadmap with estimated effort, expected business impact, and sample user quotes for each top item.

Quick Start

Analyze the last 30 days of support tickets, survey responses, and app reviews and produce a prioritized feature list with RICE scores, top verbatim quotes per theme, and a one-page executive summary.

Frequently Asked Questions about agency-feedback-synthesizer

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

FAQPage Schema
How do I consolidate user feedback from multiple channels into prioritized product insights?▼

To consolidate user feedback, you ingest and normalize data from surveys, support tickets, reviews, and interviews, then apply sentiment analysis and RICE-style prioritization to produce actionable product insights with confidence scoring.

What is the best way to categorize and analyze sentiment across fragmented customer feedback?▼

The best way to analyze sentiment across fragmented customer feedback is using automated emotion detection and thematic coding to extract verbatim quotes, surface true pain points, and assign confidence scores to the findings.

Can I generate user stories and acceptance criteria directly from app reviews and support tickets?▼

Yes, you can generate user stories and acceptance criteria directly from app reviews and support tickets by synthesizing the consolidated feedback into product-team reports that translate pain points into actionable development items.

How do I estimate business impact and effort for a product roadmap using voice of customer data?▼

You estimate business impact and effort using voice of customer data by applying prioritization frameworks like RICE and Kano, alongside statistical correlation analysis, to calculate ROI and expected value for each proposed feature.

Does synthesizing user research require structured data or can it process raw interview transcripts?▼

Synthesizing user research can process raw interview transcripts alongside structured data, normalizing multi-channel inputs including surveys, behavioral analytics, and social media to create thematic categorizations and executive dashboards.

What deliverables should I expect when turning customer feedback into data-driven roadmap decisions?▼

When turning customer feedback into data-driven roadmap decisions, expect deliverables like executive dashboards, product-team reports with acceptance criteria, and customer-success playbooks containing interventions for common issues.

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