Introduction
The sudden 30% increase in customer support tickets related to Stash's Stock-Back Card is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and users.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into our product ecosystem, user journey, and relevant metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan to resolve the issue and prevent future occurrences.
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 reward calculation system. Impact on approach: If confirmed, we'd prioritize investigating this change.
Why it matters: Ensures we're dealing with a real issue, not a measurement anomaly. Expected answer: No changes to the ticketing system. Impact on approach: If there were changes, we'd need to reassess our baseline metrics.
Why it matters: Helps narrow down potential causes and affected users. Expected answer: The increase is primarily seen in new users. Impact on approach: If confirmed, we'd focus on onboarding and new user experiences.
Why it matters: External events can drive sudden changes in user behavior. Expected answer: No major market events, but a promotional campaign was launched. Impact on approach: If a promotion is involved, we'd investigate its implementation and communication.
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