What gets used?
Rank UI elements by activations and search by element name or event type.
Product analytics for Qt interfaces
See how your interface actually flows.
GooeyFlow turns UI interactions into clear product insights—across devices, sessions, and every element your users touch.
Already invited? Sign in to your workspaceACTIVATIONS22
DEVICES1
SESSIONS4
Built to answer the questions behind your UI.
Who experiences it?
Move from the full product picture into individual devices and sessions.
What happened next?
Review chronological interaction timelines without losing the session context.
Smart Insights
Find the patterns hiding behind the totals.
Move beyond a list of clicks. Smart Insights surfaces repeated interaction flows, potential friction, unusual session behavior, and logging-quality issues across your devices.
- Prioritize what mattersOrder findings by frequency or perceived impact.
- Understand the contextCompare your whole fleet or focus on one device.
- Verify every findingOpen the supporting sessions and inspect the original timeline.
Smart InsightsOrdered by impact
✦Potential frictionRepeated corrective interactionHigh impact
⇢Common flowRecurring three-step journey12 occurrences
✦Data qualityPossible duplicate loggingReview
C++
GooeyFlow LoggerBuilt for Qt applications
- 01Add the libraryIntegrate it with your Qt application.
- 02Name your widgetsUse stable Qt objectName values.
- 03Start learningRecord to SQLite and import into GooeyFlow.
button_clickedslider_changedgesture_detectedGooeyFlow Logger
Qt interaction logging without building it all yourself.
GooeyFlow Logger is a lightweight C++ library designed to add product-usage logging to Qt GUIs with minimal development effort. It captures common interface events and preserves the context the dashboard needs to make them useful.
- Native to your stackA C++ library made for Qt applications.
- Useful events out of the boxCapture buttons, sliders, gestures, toggles, text edits, combo boxes, and spin boxes.
- Simple, durable deliveryStore sessions in SQLite today and use batch HTTP upload when your deployment is ready.
Private MVP access
Help shape GooeyFlow.
Join the mailing list for product updates and invitations to early user testing.