How to develop better games with level analytics

Product managers and game designers strive to create game levels that are challenging yet engaging enough to retain players, and a well-designed dashboard can be instrumental in achieving this balance. The blog post discusses how Snowplow Analytics aids in understanding user behavior for the CodeCombat game by providing a platform for collecting and analyzing granular event-level data, which is crucial for optimizing user experience and game design. The demonstration, presented at the Game Developers Conference, showcased how dashboards built with Superset can visualize key metrics like level completions and exit rates, highlighting areas for improvement. For instance, the analysis of levels such as 'The Final Kithmaze' revealed higher exit rates, suggesting potential design tweaks or A/B testing strategies to enhance player retention. The data also revealed differences in user experience between home players and classroom users, indicating unique challenges and opportunities for engagement strategies. The Snowplow platform allows for rapid A/B testing and real-time data processing, enabling swift, data-driven decisions to optimize game design and user experience.