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Track custom game events for player behavior analysis
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Based on SOC occupation classification
| name | analytics-event-tracking |
| description | Track custom game events for player behavior analysis |
| risk | medium |
| source | workspace |
| date_added | 2026-03-24 |
| usage | Player action tracking (quest complete, item purchased, death), engagement funnels (tutorial-to-first-kill), A/B test event collection, session-based analytics |
| avoid | Sending raw PII (email, IP address, device ID) in events, omitting timestamps causing retroactive ordering issues, batching indefinitely blocking offline events, ignoring network failures causing silent drops |
| mandates | Event delivery rate >=99%, latency <100ms per event, batch compression >=40%, zero PII in payloads, idempotency key enforcement |
| response | Configure event schema with strict field validation (event_type, user_id hash, timestamp UTC,, Implement client-side batching queue with 5s flush interval or 100-event threshold, applying, Route events to multi-region ingestion endpoints with automatic failover, logging delivery confirmations, Monitor event pipeline with 1min aggregations: ingested count, delivery rate %, latency |
Track custom game events for player behavior analysis
MEDIUM
Track and manage player consent for data usage
Design and implement advanced system architectures
Leverage custom attributes for metadata-driven programming
Use IL emit for low-level code generation
Perform advanced memory profiling and leak detection
Implement metaprogramming for code generation and manipulation
