Monday, and the capture is already done.
Feedback from every channel is captured, normalized and clustered overnight, in 16 languages, so your time goes to the questions only you can answer.
For researchers
Annsa captures feedback across connected sources, clusters recurring themes in 16 languages and keeps every insight linked to the decisions, specifications and outcomes it informs.
Use cases
Feedback from every channel is captured, normalized and clustered overnight, in 16 languages, so your time goes to the questions only you can answer.
Every insight stays linked to its original signal and customer. The evidence is auditable, not a screenshot in a deck.
The repeatable pass runs in the background, freeing you for the generative depth work continuous listening can't do.
It moves straight into a ranked priority and a grounded spec, and stays connected to the release and the customer response.
Outcomes reconnect to the insight that started them, so you see what shipped and how customers received it.
New signals are captured, normalized and connected in the background—leaving researchers more time for the questions that need human depth and judgment.
Customer context stays attached.
The build starts grounded.
Every release adds memory.
Research keeps moving after the report: into ranked priorities, grounded specifications, shipped work and customer response.

The Sean Ellis question, placed from a link and ranked with every other signal. Try it.
See all six instruments →