Customer feedback intelligence
Understand what your customers are saying.
Discover what you should build, automate, or turn into an AI agent — with every recommendation traced back to the real conversations behind it.
Discover what you should build, automate, or turn into an AI agent — with every recommendation traced back to the real conversations behind it.
When a startup launches, feedback doesn't arrive through one channel. A founder sees a WhatsApp message, a Slack bug report, and an email complaint — and never connects them.
The same problem gets reported five times, in five places, and looks like five different things.
Every channel, one inbox.
AI tags bugs, requests, complaints.
Scattered messages, one real problem.
Reach, revenue, effort, frequency.
Fix, automate, build, or delegate.
Three different messages across three channels — all pointing at the same underlying issue. FeedbackOS groups them automatically, with a confidence score and every source message one click away.
Every cluster resolves into a clear recommendation — fix the product, automate the workflow, build an integration, or hand it to an AI agent — with a current-vs-proposed workflow diagram and the accounts affected.
Build the automation or configure the AI agent right from the recommendation — with explicit guardrails like human approval before anything gets sent.
Founders personally field feedback from everywhere, with no system connecting it.
Too many conversations to track by hand — the question shifts to what actually matters.
Qualitative feedback volume is high, and often points straight at automation opportunities.
The same client problem repeats across projects, unnoticed until it's pointed out.
Tell us a bit about your team. We'll show you what FeedbackOS finds in your own feedback — no commitment required.
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