Extract Feature Ideas from User Feedback
Complete guide to extracting feature ideas from customer feedback using AI. Sentiment analysis, Feature Idea Generator, priority scoring, and building data-driven roadmaps.
TL;DR
- Feature Idea Generator extracts product ideas from feedback (6 points per batch)
- Combines sentiment analysis to understand urgency and pain points
- Automatically scores and prioritizes feature requests
- Processes support tickets, reviews, surveys, and community posts
- Outputs structured JSON with features, descriptions, and priority scores
- Integrate with product management tools (Jira, Linear, Notion)
From Feedback to Features
Product teams drown in feedback: support tickets, user reviews, surveys, community posts. Manually identifying feature requests is time-consuming. Feature Idea Generator uses AI to automatically extract, categorize, and prioritize product ideas from unstructured feedback.
Points Cost Example
Scenario: Analyze 200 feedback items monthly
Sentiment Analysis: 200 × 4 points = 800 points
Feature Generation: 4 batches × 6 points = 24 points
✓ Total: 824 points (fits in Starter plan)
Next Steps
Start extracting features
Feature Idea Generator
Complete API reference with examples and scoring system.
Automated Feedback Pipeline
Download n8n workflow for continuous feature extraction.
Build What Customers Actually Want
Feature Idea Generator ensures your roadmap is driven by real customer needs, not guesses. By automatically extracting and prioritizing features from feedback, you build products users love.
Ready to build customer-driven features? Try Feature Idea Generator with 150 free points.