Our own product · In development
ActionableWhy
The problem. Customer experience surveys collect two kinds of answer. The ratings are easy to chart. The written comments are where the actual reasons live — and they are where nearly all of a researcher's time goes. Generic sentiment tooling flattens "the staff were rude" and "the website crashed" into the same negative score, which tells a business nothing it can act on.
What it does. ActionableWhy does the part a careful human researcher would do: it reads every written response, decides which of the survey's own drivers each one provides clear evidence for, and quotes the supporting line back. The researcher reviews and overrides; the machine assists and never decides.
The property that matters. Every classification is traceable to the customer's own words. Nothing is paraphrased, and an uncertain match is dropped rather than guessed — a quiet result is more useful than a confident wrong one.
For research teams and customer experience practitioners. Status: in development, running on Australian infrastructure in Sydney.