Introduction
The sudden 30% decrease in successful transactions for SnapScan's in-app bill splitting function last week is a critical issue that demands 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.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product's user journey, metrics, and potential internal causes. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan for validation and resolution.
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 performance shifts. Expected answer: Yes, there was an update last week. Impact on approach: If confirmed, we'd focus on changes in that update.
Why it matters: Identifying affected segments can narrow down potential causes. Expected answer: The issue seems more prevalent among iOS users. Impact on approach: We'd investigate iOS-specific factors if this is the case.
Why it matters: Usage patterns can indicate whether the issue is isolated or part of a broader trend. Expected answer: Overall usage has remained stable. Impact on approach: If confirmed, we'd focus on the bill splitting feature specifically.
Why it matters: Backend changes can sometimes cause unexpected issues in seemingly unrelated features. Expected answer: No significant backend changes reported. Impact on approach: If true, we'd shift focus to frontend or user experience factors.
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