Introduction
The sudden decrease in average time spent on Navi's credit score checking feature from 3 minutes to 1 minute per session in the last quarter is a significant shift that warrants thorough investigation. This analysis will systematically explore potential root causes, generate data-driven hypotheses, and propose actionable solutions to address this change in user behavior.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Product changes can directly impact user behavior and session duration. Expected answer: Yes, there was a UI redesign or feature enhancement. Impact on approach: If confirmed, we'd focus on analyzing the specific changes and their effects.
Why it matters: Helps identify if the issue is universal or specific to certain user groups. Expected answer: There are variations among different user segments. Impact on approach: We'd prioritize investigating the most affected segments and tailor solutions accordingly.
Why it matters: Update frequency could influence how often and how long users engage with the feature. Expected answer: No change in update frequency. Impact on approach: If unchanged, we'd focus more on user experience and value perception rather than data freshness.
Why it matters: External factors can significantly influence how users interact with the product. Expected answer: Some changes in marketing messaging or onboarding flow. Impact on approach: We'd examine the alignment between user expectations set by marketing and the actual product experience.
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