Analyze product reviews for UX improvements in minutes

Paste or upload your product reviews → instantly uncover UX friction points, feature gaps, and usability patterns your team can act on

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Example insights from product reviews

Confusing Onboarding Flow
"I had no idea where to start after signing up. The setup steps felt scattered and I almost gave up on day one."
Navigation Overwhelm
"There are too many menu options and I can never find the settings I use most. It takes me three clicks to do something simple."
Mobile Experience Gaps
"The desktop version is great but on my phone half the buttons are tiny and the layout breaks on my screen."
Unclear Error Messaging
"When something goes wrong it just shows a generic error. I have no idea what I did or how to fix it, so I just refresh and hope."

What teams usually miss

Low-rated reviews hide high-signal UX patterns

One-star reviews are often skimmed for venting, but they consistently contain the most specific and actionable descriptions of where your interface breaks down.

Positive reviews contain unmet expectation signals

Four and five-star reviews frequently include phrases like "would be perfect if..." that reveal UX improvements users want but teams never prioritize.

Recurring micro-frustrations never reach the roadmap

Small usability complaints mentioned across dozens of reviews rarely get escalated because no single review feels urgent enough to flag manually.

Decisions you can make from this

Prioritize which onboarding steps to simplify based on the exact drop-off moments users describe in their own words across hundreds of reviews.

Decide which navigation or information architecture changes to test first by identifying the menu paths and labels users consistently say confuse them.

Build a data-backed case for investing in mobile UX by quantifying how many reviews cite broken layouts, unresponsive elements, or missing mobile features.

Determine which error states and empty states need redesigned copy by surfacing the specific moments where users say they feel lost, stuck, or unsupported.

How it works

  1. 1Upload or paste your data
  2. 2AI groups similar feedback into themes
  3. 3Each insight is backed by real user quotes

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