Feedback
Customer feedback, in one place.
Slack, support, discovery calls, surveys, CSV, Google Sheets, Reddit and an API. Annsa reads it in 16 languages and turns raw messages into structured signal.
FROM RAW MESSAGE TO SIGNAL
Every source runs the same pipeline.
8 sources · 16 languages · deduplicated
Customer voice arrives everywhere. Annsa keeps it connected.
Every message is filtered, translated, structured, deduplicated and attributed before it reaches the priority list.
Read every channel.
Filter the noise.
Attribute the signal.
DISCOVERY · FEEDBACK
Sources most tools treat as too hard.
Transcripts
Turn call and interview transcripts into feedback. Every extracted signal stays linked to the original conversation.
Multi-signal extraction
Extract distinct requests, pain points and praise from the same message without flattening them into one signal.
Cross-channel dedupe
Recognize the same request across Slack, calls, surveys and imports so repeated evidence strengthens one connected theme.
01 · Feedback
Every channel, in one place.
Slack, support, sales calls, surveys, CSV, Reddit and an API—structured automatically.
02 · Priorities
One ranked list, sorted by business impact.
Volume, urgency, revenue, sentiment and feature demand combine into a single rank.
03 · Customers
Every signal tied to a real account.
See who asked, how often and what revenue they represent.
04 · Surveys
Surveys that know when to stop asking.
Five formats, four templates and a cadence engine that respects attention.
05 · Intelligence
Annsa gets sharper as you ship.
Feedback, priorities and customer records connect into one product intelligence graph.
Learn more about the Annsa Discovery suite.
Asked + answered.
Q1
What sources can Annsa read?
Slack, surveys, transcripts, CSV, Google Sheets, Reddit, a programmatic API and manual entry — across 16 languages.
Q2
What stops noise cluttering the list?
Annsa scores every message before clustering, so low-signal replies and reactions are filtered out before they reach priorities.
Q3
Do I need to tag anything?
No. Annsa handles classification, clustering and customer attribution in the same pipeline, so nothing needs tagging by hand.
Q4
What is product discovery?
Product discovery is the work of finding out what to build before building it — gathering evidence from customers, deciding which problem is worth solving, and framing it well enough to start. It is the half of product work that decides whether the other half was worth doing.
Q5
How to improve product discovery with AI?
Point it at the evidence you already have rather than at idea generation. AI is good at reading every piece of feedback, grouping the ones that describe the same problem and scoring them against who is affected — the reading and ranking a person cannot do at volume. The judgment stays yours.