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Product Management Root Cause Analysis Question: Investigating sudden drop in Slickdeals deal alert engagement
Image of author vinay

Vinay

Updated Jan 13, 2025

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Why has Slickdeals's deal alert feature seen a 30% drop in user engagement over the past month?

Data Analysis Problem Solving User Behavior Understanding E-commerce Digital Marketing Consumer Tech
User Engagement E-Commerce Root Cause Analysis Notifications Deal Alerts

Introduction

Slickdeals's deal alert feature has experienced a significant 30% drop in user engagement over the past month. This decline in a core product feature warrants immediate attention and a thorough root cause analysis. I'll approach this issue systematically, examining both internal and external factors that could contribute to this engagement drop.

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 component. Has this 30% drop been compared to the same period last year?

Why it matters: Seasonal trends could explain engagement fluctuations. Expected answer: No significant seasonal variation observed. Impact on approach: If seasonal, we'd focus on optimizing for cyclical patterns.

  • Considering user segments, I'm curious if this drop is uniform across all user types. Are we seeing differences between power users and casual browsers?

Why it matters: Helps identify if the issue is widespread or segment-specific. Expected answer: Drop is more pronounced among casual users. Impact on approach: We'd tailor solutions to re-engage specific user segments.

  • Thinking about recent changes, have there been any updates to the deal alert algorithm or UI in the past 1-2 months?

Why it matters: Recent changes could directly impact user engagement. Expected answer: Minor UI tweaks were implemented. Impact on approach: We'd scrutinize these changes and potentially roll back if necessary.

  • Regarding data integrity, has there been any change in how engagement is measured or tracked?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methodology. Impact on approach: If changed, we'd need to recalibrate our analysis based on new measurement standards.

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