Turn thousands of comments into a ranked list of what to fix
Corha reads and codes every piece of feedback, groups it into themes, and ranks them by impact, so you know what to act on first.
Manual tagging does not scale
Analysing feedback by hand works until you have a few hundred items. Past that, the tagging never gets done, and the backlog of unread feedback grows.
The result is decisions based on the feedback someone happened to read, not the full picture.
How Corha helps
- Coded automaticallyCorha tags and clusters thousands of tickets, calls and survey responses into themes in minutes.
- Ranked by real impactThemes are weighted by frequency and the value of the customers behind them, so a signal from two key accounts is not lost in the noise.
- Verifiable, not a black boxEvery theme links to the underlying quotes, so you can check the machine's work before acting.
How a team runs it
From a backlog of feedback to a ranked plan.
- 1Connect your channelsBring in support, sales, survey and review feedback from every tool.
- 2Corha codes and clustersEvery item is tagged and grouped into themes, with the source quotes attached.
- 3Rank by impactSort themes by how often they appear and the value of the customers affected.
- 4Act on the top themesSend the highest-impact themes straight into tracked work.
Questions teams ask
Centralise every channel, cluster items into themes automatically, keep each theme traceable to its source, then rank by frequency and customer value.
Yes, when it is verifiable. Corha links every theme to the exact quotes behind it, so a human can confirm the grouping in one click.
Terms worth knowing
Related use cases
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