analytics-heatmaps

Track player behavior and collect heatmap data by implementing event tracking for actions like level completion and recording spatial player positions. This system uses C# and Python to visualize hotspots and identify level design flaws.

Yes, you can use multiple analytics providers for game metrics. The system uses an abstracted interface that supports integration with various analytics SDKs, including Unity Analytics, Firebase, and Mixpanel.

Heatmaps identify level design flaws and debug user flows by visualizing spatial data such as player death locations. This reveals problem areas and frustrating bottlenecks in the game world to improve balancing and retention.

Yes, player behavior tracking requires zero garbage collection in hot paths. The system adheres to TDD-first protocols and ensures zero GC allocation during high-frequency telemetry collection to maintain game performance.

Measure retention and balance difficulty by tracking specific event structures like tutorial steps and level completions. Analyzing these game metrics helps you understand player progression and adjust challenge curves accordingly.

Start tracking a LevelComplete event by invoking the analytics system with the event name and passing time and score as parameters. This records the player action for progression analysis and retention measurement.