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Product Management Root Cause Analysis Question: Investigating sudden decrease in Mint's bill reminder feature
Image of author vinay

Vinay

Updated Nov 28, 2024

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Asked at Mint

15 mins

Why has the number of bill reminders sent to Mint users decreased by 30% this month?

Problem-Solving Data Analysis Technical Understanding Fintech Personal Finance SaaS
User Engagement Data Analysis Fintech Root Cause Analysis System Reliability

Introduction

The sudden 30% decrease in bill reminders sent to Mint users this month is a critical issue that demands immediate attention. As we analyze this product problem, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.

Our approach will involve a thorough examination of the issue, generation of data-driven hypotheses, and development of a comprehensive solution strategy. We'll begin by clarifying the context, then rule out external factors before diving deep into the product's user journey, metric breakdown, and potential root causes.

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 decrease coincided with any particular time of year or event?

Why it matters: Seasonal trends could explain fluctuations in user behavior. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on historical patterns; if not, we'd look more closely at recent changes.

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

Why it matters: Identifying affected segments could point to specific user behavior or technical issues. Expected answer: The decrease is relatively uniform across segments. Impact on approach: If uniform, we'd focus on system-wide issues; if not, we'd investigate segment-specific factors.

  • Thinking about recent changes, have there been any updates to the bill reminder feature or related systems in the past month?

Why it matters: Recent changes could directly impact feature performance. Expected answer: A minor update was rolled out two weeks ago. Impact on approach: If changes occurred, we'd scrutinize those specific updates; if not, we'd look at broader system issues.

  • Considering data integrity, I'm curious about our measurement systems. Has there been any change in how we track or define "bill reminders sent"?

Why it matters: Changes in measurement could create false positives in our data. Expected answer: No changes to measurement systems or definitions. Impact on approach: If changed, we'd focus on data reconciliation; if not, we'd concentrate on actual decrease causes.

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