Introduction
The recent 15% drop in Bukalapak's BukaMall conversion rate is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
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: Seasonal trends could explain the fluctuation and impact our solution approach. Expected answer: Yes, it's been compared and the drop is still significant. Impact on approach: If seasonal, we'd focus on year-over-year strategies; if not, we'd investigate recent changes.
Why it matters: Identifying specific affected segments could pinpoint the issue more accurately. Expected answer: The drop is more pronounced in the mobile app users. Impact on approach: We'd prioritize investigating mobile app-specific issues if this is the case.
Why it matters: Recent changes often correlate with performance shifts. Expected answer: A new recommendation algorithm was implemented two weeks ago. Impact on approach: We'd focus on the impact and performance of the new algorithm if confirmed.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in the conversion definition or measurement. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new definition.
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