The Feature Engagement Experiment aims to enhance user retention rates by introducing an interactive tutorial for 40% of users upon login, highlighting key app features. This intervention will be compared against a control group of 60% of users who proceed with the standard onboarding flow. Through Firebase Analytics, the experiment will track metrics such as log-in rates, session durations, and retention rates to assess the impact of the tutorial. The hypothesis posits that users exposed to the tutorial will better understand the app's value proposition, leading to improved retention rates. Overall, the experiment seeks to increase feature comprehension and user engagement, ultimately enhancing user retention and satisfaction.
The Feature Engagement Experiment aims to enhance user retention rates by introducing an interactive tutorial for 40% of users upon login, highlighting key app features. This intervention will be compared against a control group of 60% of users who proceed with the standard onboarding flow. Through Firebase Analytics, the experiment will track metrics such as log-in rates, session durations, and retention rates to assess the impact of the tutorial. The hypothesis posits that users exposed to the tutorial will better understand the app's value proposition, leading to improved retention rates. Overall, the experiment seeks to increase feature comprehension and user engagement, ultimately enhancing user retention and satisfaction.