How do you turn beta feedback into one report per release?
A beta feedback AI Employee that gathers every piece of feedback from a running beta, across surveys, Slack threads, and filed issues, and consolidates it into one structured report per release, read only, so nothing scattered gets lost and nothing gets acted on without a human.
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A beta generates feedback in every channel at once and consolidates it in none. Testers fill out a survey, complain in a Slack channel, and file issues in the tracker. The same problem often shows up in all three, phrased three different ways. By the time the release review comes around, the feedback exists but it's scattered across tools, and someone has to spend a day gathering it into a picture before the team can even discuss what the beta actually said. So the report either gets built by hand at the last minute, or the review happens off whichever channel someone remembers to open. The survey results get read but the Slack thread doesn't, or the filed issues get triaged but the survey's open text answers never get counted. The beta's real signal is spread thin across three systems, and the effort of pulling it together is exactly what gets cut when the release is due.
The beta feedback AI Employee reads feedback from the survey tool, the beta Slack channel, and the issue tracker, deduplicates the same problem reported in different places, and consolidates it into one structured report per release: themes, frequency, and links back to every source. It reads and reports only. It changes nothing it reads, and it never triages, files, or replies; a named human runs the release review from the report it compiles.
See exactly how the work gets done.
Runs daily during a beta
While a beta is live, a scheduled run fires once a day and folds in the feedback that arrived since the last run. Each run starts clean and rebuilds the report from current sources, so it never drifts from what testers actually said.
Consolidates before it reports
What counts as the same piece of feedback across channels, and how to group feedback into themes, travel with the AI Employee as a skill. The same issue raised in survey, Slack, and the tracker is counted once, not three times.
Connects to your systems, with permissions you set
It reads responses from the survey tool, messages from the beta channel in Slack, and filed items from the issue tracker, all read only. Credentials stay in memory, never written to disk, never exposed to the model.
Produces one report per release
Its output is a single structured report: themes, how often each came up, and a link back to every source behind them. One document per release, not a fresh thread every time someone asks how the beta is going.
Hands the report to a human
It delivers the consolidated report for the release review. A named human reads it, decides what to act on, and is the one who triages, files, or follows up. The AI Employee only compiled the picture.
Runs in your environment
Every run is isolated inside your own infrastructure. The tester feedback never leaves it. Only the consolidated report does.
Read only, end to end
It reads all three sources and writes nothing back to them. It never edits a survey, replies in Slack, or files or triages an issue.
One report, not a running mutation
Its only output is the structured report. It doesn't act on the feedback, open tickets from it, or notify testers. The report is where it stops.
Every theme traces to its source
Each item in the report links back to the survey response, message, or issue behind it, so the human reviewing it verifies the signal rather than trusting a summary.
You own every rule
The deduplication rules, the theme grouping, and its per system permissions are yours, versioned and changed on your terms, not buried in a vendor dashboard.
A beta that used to scatter its signal across a survey, a Slack channel, and the tracker now arrives at the release review as one structured report, deduplicated and sourced. The AI Employee reads and consolidates; your people decide what to act on.
Every day
Feedback from all three channels is folded into the report the same day it arrives
1 report per release
One consolidated, deduplicated report, not three scattered channels
0 actions taken
Every triage, filing, and reply held for a named human to decide
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
How do you turn scattered feedback into a ranked list of what to build?
Gathers feedback from the help desk, public reviews, and Slack on a schedule, clusters it into themes with quotes and counts, and creates or updates one issue tracker issue per theme. It quantifies; people own what to build.
×How do you draft a PRD from the requests that asked for it?
Clusters inbound feature requests by theme and writes a first draft PRD per theme, each one citing the requests behind it. The PM finalizes; it never ships a spec.
×How do you write release notes customers actually read?
Turns shipped work into customer facing, benefit framed release notes on each release, distinct from the internal changelog. PMM publishes, it never does.
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