The Challenge
Product managers are flooded with feedback:
- Intercom support tickets
- NPS survey comments
- Sales call notes
- Twitter mentions
It is impossible to read it all. So decisions are made based on the loudest voice or the most recent complaint.
The Playbook
Step 1: Centralize Your Data
Export your last 3 months of support tickets (CSV) and your latest NPS survey results.
Step 2: Upload to FeedPulse AI
Use the "Product Feedback" project type. This instructs the AI to look for "Feature Requests", "Bugs", and "UX Friction".
Step 3: Identify the "High Impact" Drivers
Look at the Drivers tab.
- Volume: How many people mentioned it? (e.g., 50 people mentioned "Search")
- Sentiment: How angry are they? (e.g., "Search" has -80% sentiment)
- Urgency: Is it blocking them? (e.g., High urgency)
Step 4: Map to Roadmap
- Quick Wins: High volume, low effort fixes.
- Strategic Bets: High volume, high negative sentiment issues that require a feature overhaul.
Step 5: Validate
Before building, search within FeedPulse AI for "search bar" to read the specific quotes. Use these quotes in your PRD (Product Requirement Document) to justify the work.