---
title: ToolRouter — Use Case
description: Step-by-step guide for a real-world ToolRouter use case with agent-specific instructions.
url: https://toolrouter.com/tools/app-review-analysis/use-cases/extract-improvement-insights
---
# Extract Product Improvement Insights

App reviews contain more than just bugs and feature requests. They reveal how users think about your product, what workflows they use, where they get confused, and what delights them. These qualitative insights complement your quantitative analytics by explaining the "why" behind the numbers.

The aggregate_reviews skill extracts these deeper insights by analyzing review language patterns, user expectations, and satisfaction drivers. You discover which user workflows matter most, which aspects of your UX cause confusion, and which features create genuine delight. These insights go beyond simple sentiment -- they paint a picture of how your app fits into users' lives and where the experience breaks down. Product teams that systematically mine reviews for insights build products that feel like they understand their users, because they literally do.

**Tool:** [App Review Analysis](https://toolrouter.com/tools/app-review-analysis)
**Skills:** aggregate_reviews

## Agent Guides

- [How to Extract Improvement Insights with Claude](https://toolrouter.com/tools/app-review-analysis/use-cases/extract-improvement-insights/claude): Guide for Claude
- [How to Extract Improvement Insights with ChatGPT](https://toolrouter.com/tools/app-review-analysis/use-cases/extract-improvement-insights/chatgpt): Guide for ChatGPT
- [How to Extract Improvement Insights with Copilot](https://toolrouter.com/tools/app-review-analysis/use-cases/extract-improvement-insights/copilot): Guide for Copilot
- [How to Extract Improvement Insights with OpenClaw](https://toolrouter.com/tools/app-review-analysis/use-cases/extract-improvement-insights/openclaw): Guide for OpenClaw
