Shared feedback workspace
Capture the customer signal in a shared workspace.
CaptureStructuredAI insights
Keep the customer signal attached to what ships.
Capture feedback with structured fields, let AI summarize the sentiment and the opportunity, and triage it beside the engineering and release context it informs.
- Onboarding felt confusingTriage
- Needs SSO for the team planPlanned
- CSV export is too slowShipped
Feedback is where the loop starts listening.
One connected loop, held on the stage this capability serves. The other stages stay as context so you can see what feeds in and what comes next.
BD
Discovery
Feedback
Product
Engineering
Release
Reliability
Evidence
Feedback
Capture the customer signal.
Available now
Structured tags and context
Organize feedback with the context teams need for triage.
Delivery and release visibility
Keep product teams informed about delivery and release health.
Signals are easy to collect and hard to keep connected.
Customer input scatters across inboxes, calls, and docs. By the time it reaches engineering, the context that made it matter is gone.
- 01
Requests arrive without the account or delivery context around them.
- 02
Triage happens in a tool that never sees what shipped in response.
- 03
Product teams re-explain the same signal to engineering every cycle.
Capture, understand, then triage.
More than a text box.
Feedback arrives from the dashboard, an extension, or the API, with custom fields and scoped tags so triage stays consistent.
dashboard · extension · apicustom fieldsscoped tags
- categoryfeature
- planenterprise
- sourceextension
The signal, summarized.
Your chosen provider scores sentiment and extracts the opportunity, risk, and suggested actions behind each item.
sentimentinsightopenai · anthropic · custom
- Positive48%
- Neutral31%
- Mixed13%
- Negative8%
From submitted to processed.
Each item moves through a processing pipeline while every source keeps rolling 7 and 30-day health.
submitted → processedsource healthfilters
- 01
Submitted
captured from a source
- 02
Queued
waiting for analysis
- 03
Processing
sentiment and insight
- 04
Processed
ready to triage
Feedback isn’t a static score. It’s a market.
We started charting sentiment as a sparkline and a candlestick for one reason: the way people feel about an area keeps changing. A single average hides that. A trend line and open-high-low-close candles show the direction and the volatility, so a rough week is obvious and a recovery is provable.
It also changes behavior. When a team can watch sentiment climb after they ship, collecting feedback stops feeling like a chore and starts feeling like reading the tape. Feedback that gets acted on compounds in value. Feedback that sits in a backlog quietly loses it.
checkout sentiment · 12 weeks
+44 net
up 24 pts since the CSV export fix shipped
sentiment · open-high-low-close
live rose fell
W1W2W3W4W5W6W7W8
Line the trend up against what shipped and the comparison makes the case for you: the same signal recovers when it’s addressed and keeps sliding when it isn’t.
shipped the fix
+46 net
recovered once the change went out
left in the backlog
-18 net
kept sliding while it waited
Specific, structured, honest.
Categories, sources, custom-field types, and AI lanes are all real. Nothing here is a vague promise about understanding your users.
Categories
How it is filed.
bugfeaturegeneral
Sources
Where it came from.
dashboardextensionapiwidgetemailimport
Field types
Custom structure.
textnumberdatebooleanpicklistmulti_picklist
AI providers
Your choice.
openaiopenrouteranthropiccustom
AI lanes
Per task.
classificationembeddinginsight_extraction
Sentiment
Labeled.
negativemixedneutralpositive
An honest limit
Sentiment and insights are AI-generated and batch-processed, so they fill in after analysis rather than instantly. The feedback-to-delivery link is insight-driven, not a hard foreign key on the feedback row.
Follow the signal into delivery.
Give one customer signal a home it never leaves.
Start free
Product decisions stay with your team.