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Product Management Root Cause Analysis Question: Investigating Bukalapak's BukaMall conversion rate decline
Image of author vinay

Vinay

Updated Dec 1, 2024

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Why has the conversion rate for Bukalapak's BukaMall dropped by 15% over the past month?

Data Analysis Problem-Solving Strategic Thinking E-commerce Online Marketplaces Retail
User Experience E-Commerce Conversion Optimization Data Analysis Root Cause Analysis

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)

  • Looking at the timing, I'm thinking there might be a seasonal factor at play. Has this 15% drop been compared to the same period last year?

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.

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

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.

  • Thinking about recent changes, have there been any significant updates to BukaMall's UI/UX or backend systems in the past month?

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.

  • Regarding the conversion rate calculation, has there been any change in how we're measuring or defining a "conversion" for BukaMall?

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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