Case study · Customer intelligence
Turn open-text feedback into clear decisions.
We designed a multilingual workflow that makes large volumes of customer comments easier to compare, explore, and act on.
The problem 01
Teams could not read everything.
The challenge was to find recurring issues across customers, dates, and languages without losing the comments behind them.
The data flow 02
- 01Bring togetherCollect comments from forms, conversations, and files.
- 02TranslateMake responses comparable across languages.
- 03Find patternsSurface sentiment, recurring words, and changes over time.
- 04VerifyReturn from a pattern to the comments behind it.
What was implemented 03
Analysis stayed tied to the source.
Comparable signals. Translate responses and place sentiment on one consistent scale.
Visible patterns. Organize recurring words and changes over time without hiding the source comments.
Faster exploration. Search the evidence and ask focused questions about the feedback.
Delivered as a multilingual analysis service connected to first-party feedback.
Where this capability can travel 04
Useful wherever free text accumulates.
The same pattern can support surveys, employee comments, review monitoring, service-quality audits, and document-based issue classification.
Potential applications · not presented as completed client results