Every review, sorted by what to fix.

Paste App Store reviews, support tickets or survey answers. Sift groups them into themes, scores every response, and shows which problem is costing you the most customers.

No sign-up · demo uses sample data from a fictional plant shop

bloomcart-feedback.csv48 rows
  • App StoreCheckout took a full minute today.
  • EmailMy big bird of paradise arrived snapped in half.
  • SurveyFree shipping over $50 would be a game changer.
  • TwitterCare guides are gold. Please keep them coming.
themes, ranked by impact6 found
  • Slow checkout13×
  • Plants arrive damaged8×
  • Shipping costs6×
  • Customer support6×

What you get after one paste

Open it and see what hurts most.

The overview puts the costliest problem on top, with the numbers and a real customer quote beside it. Everything else is ranked underneath.

Open it and see what hurts most.

Every theme comes with a next step.

Each theme gets a plain-language summary, one recommended fix, its trend week by week, and every response that belongs to it.

Every theme comes with a next step.

Nothing is hidden behind the averages.

Search and filter every single response by sentiment or theme, so you can check the grouping yourself.

Nothing is hidden behind the averages.

From a pile of text to a fix list

Any AI model with an OpenAI-compatible API can do the reading. Your data stays in your browser unless you run an analysis.

  1. Paste

    Drop in reviews, tickets or survey answers — one per line, or a CSV export with a text column.

  2. Group

    The AI reads every response, clusters them into a handful of themes and scores each one from negative to positive.

  3. Rank

    Themes are ordered by impact: how many people mention it, weighted by how unhappy they are.

See what your customers keep telling you.

Open the demo