Sense is the feedback tool itself, not a layer on top of one. Anyone, your own team or a real user, records feedback right on the page where something breaks: screen, voice, a snapshot. Sense transcribes it, extracts the insights, and drafts your backlog from what people actually said. Each task carries its evidence and hands cleanly to your developers and AI coding agents.
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8Hey everyone, David here, co-founder of Sense. This started with a message we got too many times: "the export is broken." Then an afternoon of asking which export, which screen, what it looked like. The report was words. The thing that broke was a screen. So we stopped asking people to type. Users, testers and your own team record feedback on the page where it breaks. Sense turns it into insights you can trace back to the moment they were said, and into backlog tasks your agent can build from. We are early. Our own roadmap comes out of our own Sense workspace.
The evidence-first approach is compelling—capturing the context behind a request should make prioritization much more reliable than isolated feature votes. Can teams tag feedback by customer segment or workflow so the backlog can be sliced without losing the original evidence?
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Can you make workflow so the backlog can be sliced without losing the original evidence.is it Possible
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Sense_ lets users record screen and voice on the page where something breaks, then turns that into backlog tasks still linked to the original clip. If business AI costs need a quieter home, leftover capacity sits at pzero.studio.
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The 'not what you remember' framing hits home. We triage user feedback from support tickets manually and the loudest request always wins over the most frequent one. Does Sense_ dedupe similar requests coming in through different words?
CEO verboo
The 'not what you remember' framing hits home. We triage user feedback from support tickets manually and the loudest request always wins over the most frequent one. Does Sense_ dedupe similar requests coming in through different words?
Bringing founders early users and feedback to help them refine their software products.
Does Sense_ make it obvious how shipped work maps back to what users asked for on a cold visit? Happy to send a totally free first-impression video if useful.
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The part that stands out is that each backlog task still carries the screen, voice, and snapshot captured on the page where something broke, instead of a rewritten ticket that loses the repro. That is much closer to what users actually asked for than a two-line feature vote. A practical gap for teams handing the task to an AI coding agent: does the exported context keep the page URL, the timestamp in the clip, and whether the reporter was an admin or a customer? Without those, agents tend to "fix" the happy path. Also, if the recording can catch customer data already on screen, a one-click redaction before the task is created would be the difference between this being usable in support and getting blocked by a privacy review.