Game Analytics

Understands basic game analytics metrics: DAU, MAU, retention D1/D7/D30, session length. Sets up simple analytics events in the game: level_start, level_complete, purchase. Reads basic reports and dashboards to evaluate player behavior.

Verifies basic analytics events in the game: installation tracking, sessions, progression. Checks correctness of event sending to analytics backend (Firebase, GameAnalytics).

Understands the fundamentals of Game Analytics. Applies basic practices in daily work. Follows recommendations from the team and documentation.

Designs analytics event system for full game system coverage. Analyzes funnel metrics, level heatmaps, player resource distribution. Conducts A/B tests of balance changes and interprets results. Uses cohort analysis to evaluate changes.

Tests full analytics pipeline: validates event schema, checks data accuracy in dashboards, tests funnel tracking. Identifies missing events and incorrect parameters.

Independently implements Game Analytics in dedicated servers/Photon. Optimizes performance. Works with profiler.

Designs data-driven game design process: predictive models for retention, churn prediction, LTV segmentation. Builds custom dashboards for game health monitoring. Uses ML models for optimizing matchmaking, difficulty, personalized offers.

Designs analytics QA strategy: automated event validation, data integrity checks, real-time monitoring. Tests A/B test framework, attribution tracking, GDPR compliance.

Designs solutions with Game Analytics for production games. Optimizes for target platforms. Mentors the team.

Defines analytics strategy for the game project: success metrics, KPI framework, data governance. Builds a data-driven decision-making culture in the game design team. Coordinates analyst and designer work to optimize player experience.

Defines analytics QA standards for the studio. Implements automated event coverage tracking, establishes data quality metrics, coordinates with analytics team on dashboard validation.

Defines technical strategy with Game Analytics. Establishes development standards. Coordinates technical direction.

Shapes enterprise game analytics strategy for the studio's project portfolio. Defines unified analytics platform, cross-game data sharing, portfolio-level KPIs. Implements advanced analytics: causal inference, ML-driven optimization, player modeling.

Shapes enterprise analytics QA framework for live-service portfolio. Defines data quality standards, integrates analytics QA into release process across all studios.

Defines the studio's technology strategy. Evaluates engine solutions. Shapes technical vision for game projects.