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Product Management Root Cause Analysis Question: Investigating sudden drop in mobile push notification signups
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Nextsprints

Updated Jan 22, 2025

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What caused the sudden 30% decrease in new user signups for Iterable's mobile push notification feature last week?

Data Analysis Problem Solving Technical Understanding MarTech Mobile Apps SaaS
Data Analysis User Acquisition Root Cause Analysis Technical Troubleshooting Mobile Push Notifications

Introduction

A sudden 30% decrease in new user signups for Iterable's mobile push notification feature last week is a critical issue that demands immediate attention. This significant drop in a key performance metric could have far-reaching implications for user engagement, revenue, and overall product health. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to address the issue.

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 have been a recent product update. Has there been any change to the mobile push notification feature or related systems in the past two weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was a minor UI update. Impact on approach: If confirmed, I'd focus on the update's potential impact on user experience and technical performance.

  • Considering user segments, I'm curious about the distribution of this decrease. Is the 30% drop uniform across all user segments, or are certain groups more affected?

Why it matters: Identifying specific affected segments can narrow down potential causes. Expected answer: The decrease is more pronounced among new users. Impact on approach: If true, I'd investigate onboarding processes and first-time user experiences.

  • Given the specificity of the 30% figure, I'm wondering about our measurement accuracy. Have there been any changes to our analytics systems or how we define and track new user signups?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes to analytics or definitions. Impact on approach: If confirmed, I'd focus on external factors and user behavior rather than data integrity issues.

  • Considering potential external factors, have there been any significant competitor actions or market changes in the past week that could influence user behavior?

Why it matters: External events can sometimes explain sudden metric changes. Expected answer: No major known competitor actions or market shifts. Impact on approach: If true, I'd focus more on internal factors and user experience issues.

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