# Turn Customer Reviews Into Feature Requests

**Use case:** 

Cluster product reviews into evidence-backed feature requests, bug themes, and ranked roadmap opportunities for product teams.

## Input

```json
{
  "reviews": [
    {
      "id": "r-1",
      "reviewText": "Please add CSV export and scheduled PDF reports for client meetings.",
      "starRating": 3,
      "submissionTime": "2026-08-01",
      "productName": "Northstar Analytics",
      "source": "G2"
    },
    {
      "id": "r-2",
      "text": "The app crashes every time I apply more than three filters and I lose my work.",
      "rating": 1,
      "reviewedAt": "2026-07-30",
      "version": "6.4.0",
      "productName": "Northstar Analytics",
      "platform": "App Store"
    },
    {
      "id": "r-3",
      "content": "Search should support saved views and exact phrase matching.",
      "stars": 3,
      "createdAt": "2026-07-24",
      "product_name": "Northstar Analytics",
      "store": "Google Play"
    }
  ],
  "maxReviews": 500,
  "recentWindowDays": 180,
  "minThemeReviews": 1,
  "maxEvidencePerTheme": 5,
  "fieldMap": {},
  "includeNormalizedReview": true,
  "includeOriginalReview": false
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type",
    "format": "text"
  },
  "rank": {
    "label": "Rank",
    "format": "number"
  },
  "productName": {
    "label": "Product",
    "format": "text"
  },
  "themeType": {
    "label": "Type",
    "format": "text"
  },
  "themeLabel": {
    "label": "Theme",
    "format": "text"
  },
  "reviewCount": {
    "label": "Reviews",
    "format": "number"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "severity": {
    "label": "Severity",
    "format": "number"
  },
  "priorityScore": {
    "label": "Priority",
    "format": "number"
  },
  "confidence": {
    "label": "Confidence",
    "format": "number"
  },
  "evidence": {
    "label": "Evidence",
    "format": "object"
  },
  "ticket": {
    "label": "Roadmap ticket",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Product Review-to-Roadmap Extractor](https://apify.com/gifted_wagon/product-review-to-roadmap.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/gifted_wagon/product-review-to-roadmap.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/gifted_wagon/product-review-to-roadmap.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).