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.
What you can do with Corha
Coded automatically
Corha tags and clusters thousands of tickets, calls and survey responses into themes in minutes.
Ranked by real impact
Themes 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 box
Every theme links to the underlying quotes, so you can check the machine's work before acting.
From a backlog of feedback to a ranked plan.
- 0101Connect your channels
Bring in support, sales, survey and review feedback from every tool.
- 0202Corha codes and clusters
Every item is tagged and grouped into themes, with the source quotes attached.
- 0303Rank by impact
Sort themes by how often they appear and the value of the customers affected.
- 0404Act on the top themes
Send the highest-impact themes straight into tracked work.
Questions about feedback analysis
- How do you analyse customer feedback at scale?
- Centralise every channel, cluster items into themes automatically, keep each theme traceable to its source, then rank by frequency and customer value.
- Can we trust automated tagging?
- 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.
See it with your own data.
Connect your first source and Corha will draft your starter personas in under five minutes.