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Peloton Rider Engagement Drop After UI Revamp

Root Cause Analysis · intermediate

Peloton recently released a major update to its exercise bike display interface, aiming to enhance user experience. However, two weeks post-launch, there has been an 18% drop in rider engagement measured by the average session duration. Do not propose feature changes yet. Instead, diagnose the root cause of this engagement decline and prioritize the first area for further investigation.

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Yuvraj’s approach

Identify potential factors leading to the decrease in average session duration.: UI friction: The new Ui update may have introduced friction in using or navigationg making it harder to access. Learning curve: After the update, users may take some time to adapt to the new UI. They were used to the previous UI. Performance bugs: The new update might have some bugs, lag, crash or sync errors. External factors: Seasonal workout trends and competitor campaigns. Platform or region specific issues: Any one of the platforms or regions might be having tech issues after the UI update.

Choose one primary hypothesis to investigate further.: User interface update are causing usability issues that are resulting in shorter sessions. The rationale is engagement dropped right after the update suggesting a direct correlation and users may be struggling to find familiar features due to difficulty in navigation and being used to the previous update causing a drop off because of this friction.

Explain how you would validate this hypothesis using data.: Session analytics: Compare the analytics like clicks, navigation time, feature usage before and after the UI update. Drop off analysis: Identify at which point in the user flow the sessions are ending earlier. User feedback: Check user feedback post the UI update to identify what the users are saying and where they are having issues A/B testing: Run old vs new interface with a small group to measure the diferences and ease and usability and session duration.

Prioritize areas for further investigation and rationale.: Interface friction: Validate if navigation changes correlate iwth shorter sessions. Performance bugs: Check error logs and analytics to identify errors, bugs etc that are causing issues. Feature visibility: Assess whether leaderboard, music controls, etc usage has dropped. External trends: Compare session duration against previous years in the same months.

Rationale: Usability friction seems to be the most prominent reason for this decline and is the root cause given the timing of decline and direct link to session duration. Bugs are external factors are secondary checks.