Feature Requests Hiding in Reviews
Your App Store reviews are full of feature requests. "Great app, 4 stars, but I really need widget support" is a feature request. "Would be perfect if it synced with iCloud" is a feature request. Manually reading every review is unsustainable. The App Store import tool automates this process entirely.
How AI Extraction Works
FeaturePulse imports your App Store reviews and runs each one through an AI model that identifies actionable feature requests. "Love this app but wish it had dark mode" becomes a feature request titled "Dark mode support" on your board. The AI filters out pure praise and pure complaints, keeping only the actionable content.
Read more about how this works in the App Store reviews integration blog post. The import supports all App Store regions and languages.
One Board, Multiple Sources
Requests extracted from reviews appear on the same board as requests submitted through the in-app SDK. This gives you a unified view of what users want across all channels. Votes from in-app users and review-sourced requests are combined for accurate prioritization.
The App Store import runs on a schedule you configure — daily, weekly, or on demand. Each import fetches new reviews since the last run and extracts any feature requests found.
Responding to Reviews Strategically
When you respond to a review with "Thank you for the suggestion — we've added this to our roadmap," you accomplish three things: you satisfy the reviewer, you signal to other readers that you're responsive, and you create a natural feedback loop that extends beyond your app.
Exporting Reviews for Analysis
Need to analyze reviews outside of FeaturePulse? Use the CSV export tool to download all imported reviews with their extracted feature requests. This is useful for quarterly planning sessions or sharing data with stakeholders who don't have FeaturePulse access.