One question. Every review that answers it, whatever language it is in.
The same finding, grouped across languages, counted once.
12k+ reviews read in minutes. The #1 complaint surfaced, with the exact quotes behind it.
Evidence, not adjectives.
GoNext found their top complaint buried in thousands of reviews: a checkout crash concentrated after one release, invisible in the star average, ranked by volume and backed by the exact customer words.
Analysed together against the same question, so a theme is counted no matter where it was raised.
Then send it where work happens: export themes to Jira and GitHub Issues, alert on spikes by Slack and email.
Most tools organise your feedback into generic categories. Metricsense answers your own questions of it, the way you just tried above.
Every plan reads 100% of what you upload and links every insight to the exact quote behind it. Credits are consumed per conversation analysed.
Your feedback is processed in your region and never used to train models. You control retention and deletion, and can export or purge everything at any time.
No tagging, no model training, no data team. Connect a source or upload a CSV, write what to find in plain English, and it runs. First insights in minutes.
Prove it first. Start free, upload a sample of your own reviews or tickets, and see the insights and the quotes behind them before you commit a thing.
Every insight links to the exact customer quote behind it. Defensible to your team and your stakeholders, never a number you take on faith.
Analysing spoken calls on a regulated floor? That lives on the call analytics page.
Upload a sample of your own reviews or tickets. First insights in minutes, free.