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)
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.
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.
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.
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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