Introduction
The recent 20% decrease in average session duration on the Nykaa mobile app following the latest update is a significant concern that requires immediate attention. This metric is crucial for user engagement and can directly impact conversion rates and overall app performance. I'll approach this issue systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to address the problem.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: This helps establish a clear timeline and potential correlation. Expected answer: The update was released on [date] and the decrease was noticed within [timeframe]. Impact on approach: A clear correlation would focus our investigation on the update itself.
Why it matters: This helps identify if the issue is universal or specific to certain user groups. Expected answer: The decrease is [uniform/varies] across user segments. Impact on approach: Segmented impact would require targeted solutions for specific user groups.
Why it matters: This helps eliminate external factors that might be influencing the metric. Expected answer: Seasonal factors [have/have not] been accounted for in the analysis. Impact on approach: If seasonal factors are significant, we'd need to adjust our baseline for comparison.
Why it matters: The nature of the update can guide us towards specific areas to investigate. Expected answer: The update was primarily focused on [feature/UI/backend]. Impact on approach: Different types of updates would lead us to investigate different aspects of the app.
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