How can we explain the 30% decrease in Kavak's mobile app user engagement for the vehicle search feature during the past quarter?

Introduction

The 30% decrease in Kavak's mobile app user engagement for the vehicle search feature during the past quarter is a significant issue that requires thorough investigation. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this decrease been compared to the same quarter last year?

Why it matters: Seasonal trends could explain engagement fluctuations. Expected answer: Yes, it's been compared and the decrease is still significant. Impact on approach: If seasonal, we'd focus on year-over-year comparisons.

• Considering user segments, I'm wondering if this decrease is uniform across all user groups. Have we seen any particular user segments more affected than others?

Why it matters: Identifying affected segments helps narrow down potential causes. Expected answer: The decrease is more pronounced in first-time users. Impact on approach: We'd focus on onboarding and first-time user experience.

• Thinking about recent changes, have there been any significant updates to the app or the vehicle search feature in the past quarter?

Why it matters: Recent changes could directly impact user engagement. Expected answer: A new search algorithm was implemented two months ago. Impact on approach: We'd investigate the impact of the new algorithm on search results.

• Regarding data integrity, has there been any change in how we measure or define user engagement for the vehicle search feature?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement or definition. Impact on approach: We'd focus on actual user behavior changes rather than metric definition issues.