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Product Management Root Cause Analysis Question: Revolut budgeting tool engagement decrease investigation

Why has customer engagement with Revolut's budgeting tools decreased by 25% over the last month?

Data Analysis Problem Solving Strategic Thinking FinTech Banking Personal Finance
Product Strategy User Engagement Data Analysis Root Cause Analysis FinTech

Introduction

The recent 25% decrease in customer engagement with Revolut's budgeting tools over the last month is a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for Revolut's product strategy.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and next steps.

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 events or time of year?

Why it matters: Seasonal trends could explain the engagement drop and inform our solution approach. Expected answer: No significant seasonal events noted. Impact on approach: If seasonal, we'd focus on cyclical engagement strategies; if not, we'd look deeper into product or technical issues.

  • Considering the specificity of the 25% decrease, I'm curious about our measurement accuracy. Has there been any change in how we track or define engagement with budgeting tools?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in measurement methodology. Impact on approach: If measurement changed, we'd need to reassess the problem definition; if not, we proceed with current data.

  • Given the focus on budgeting tools, I'm wondering about user segments. Has this decrease been uniform across all user types, or are certain segments more affected?

Why it matters: Helps pinpoint if the issue is global or specific to certain user groups. Expected answer: Decrease more pronounced in casual users. Impact on approach: If segment-specific, we'd tailor solutions to those users; if uniform, we'd look at broader product issues.

  • Thinking about recent updates, have there been any significant changes to the budgeting tools or related features in the past 1-2 months?

Why it matters: Recent changes could directly correlate with the engagement drop. Expected answer: Minor UI update two weeks ago. Impact on approach: If recent changes, we'd scrutinize those updates; if not, we'd explore other factors affecting engagement.

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