| Time | Event | User | Session | Data |
|---|
| From | To | Players Reaching From | Players Reaching To | Drop | Drop % |
|---|
| User | Segment | Max Reached | Max Completed | Sessions | Events | First Seen | Last Seen |
|---|
| Version | Users | Sessions | Avg Duration | Avg Completes / Session | Completion Rate | Undo Rate | Events |
|---|
| Platform | Users | Sessions | Avg Duration | Avg Completes / Session | Completion Rate | Undo Rate | Events |
|---|
| ID | Timestamp | Event | User ID | Session ID | Data |
|---|
| Session ID | User ID | Events | Duration | First Event | Last Event | Actions |
|---|
| User ID | Total Events | Sessions | First Seen | Last Seen | Actions |
|---|
No funnel defined
Add events to the funnel builder above and click "Analyze Funnel"
| Level | Loads | Completions | Rate | Min Moves | Undos | Redos | Undo % | Avg Solve | Min Solve | Max Solve |
|---|
| User | Max Level | Levels Completed | Sessions | First Seen | Last Seen |
|---|
Exception Groups
Distinct (message + stack trace) groups, sorted by occurrences.
Stack traces are deduplicated into the exception_groups table
so the events table stays lean.
Explore
Pick an event and a field — the chart type is chosen from the schema declaration
(values → pie, bits → flag breakdown, integer → histogram, string → top-N).
New event? Add a schema/*.json file and it shows up here automatically.
Event Schemas
Declared in schema/*.json. Each event lists the fields it's expected to carry.
Fields are lifted into typed DB columns; anything else is captured as drift in the residual JSON blob.
| Filename | Size | Modified |
|---|
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