Introduction
The sudden 30% increase in abandoned carts on Tebra's online payment portal this 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 our payment ecosystem.
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, a minor UI update was implemented. Impact on approach: If confirmed, I'd focus on UI-related hypotheses.
Why it matters: Helps narrow down potential causes and affected user groups. Expected answer: The increase is more pronounced among mobile users. Impact on approach: I'd prioritize mobile-specific issues in my analysis.
Why it matters: Technical issues can significantly impact user behavior. Expected answer: No major outages, but some intermittent slowdowns were reported. Impact on approach: I'd investigate performance-related hypotheses more closely.
Why it matters: Changes in user acquisition can affect overall metrics. Expected answer: A new social media campaign was launched last week. Impact on approach: I'd consider how new user behavior might be influencing the metric.
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