Analyze App Store Reviews for Feature Requests in Minutes
Paste or import your app store reviews → instantly surface the most-requested features and unmet user needs driving churn and missed growth
Try it with your data
Paste a URL or customer feedback text. No signup required.
"I love the app but it's completely useless when I'm on the subway or traveling. Please add an offline mode — I'd give it 5 stars immediately."
"The one thing keeping this from being perfect is no iOS widget. My other apps all have this. Would save me so much time every morning."
"Why can't I select multiple items at once? I have to tap and edit one by one. A simple multi-select feature would be a total game changer."
"Please integrate with Google Calendar. I'm duplicating everything manually between two apps and it's exhausting. This is the #1 reason I might switch."
What teams usually miss
Teams often filter reviews by rating alone, missing that 4-star reviews frequently contain the most actionable and specific feature requests from your most engaged users.
A review that reads as frustration about a missing capability is often a feature request in disguise, and manual review processes rarely surface these patterns at scale.
Without tracking feature request themes over time and across version releases, teams miss early signals that a newly introduced change is creating unmet expectations in their user base.
Decisions you can make from this
Prioritize your next sprint by ranking features that appear in the highest volume of recent reviews, so engineering time goes where users are loudest and most specific.
Kill low-signal feature ideas in roadmap planning by showing stakeholders that only a small fraction of reviewers actually mention a requested capability compared to others.
Segment feature demand by platform — identifying whether iOS or Android users are driving a particular request — so you can scope and sequence releases more precisely.
Benchmark your feature request themes against different app versions to measure whether past releases satisfied demand or created new gaps in user expectations.