Introduction
The sudden increase in failed direct debits for the Moneybox Pension product over the past week is a critical issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term implications for the product and its users.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product mechanics, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.
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: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was a minor update to the payment processing system. Impact on approach: If yes, we'd focus on that change; if no, we'd look at external factors more closely.
Why it matters: Helps identify if the issue is systemic or specific to certain user groups. Expected answer: The issue seems more prevalent among newer users. Impact on approach: If segmented, we'd investigate onboarding processes; if universal, we'd look at core system issues.
Why it matters: Could indicate issues with batch processing or specific time-based triggers. Expected answer: Failures are clustered around month-end. Impact on approach: If clustered, we'd investigate capacity issues; if spread, we'd look at broader system problems.
Why it matters: Ensures we're not chasing a non-existent problem due to measurement changes. Expected answer: No changes to measurement methods. Impact on approach: If changed, we'd recalibrate our analysis; if not, we proceed with current definitions.
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