Introduction
The sudden 30% increase in customer support calls for bolttech's gadget insurance claims process this month 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 the product and business.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.
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 new step was added to the claims process. Impact on approach: If true, I'd focus on analyzing the impact of this change.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The increase is primarily in new customers. Impact on approach: If true, I'd investigate onboarding and communication for new users.
Why it matters: Distinguishes between cyclical patterns and anomalies. Expected answer: No significant seasonal pattern in previous years. Impact on approach: If true, I'd focus on recent changes rather than cyclical factors.
Why it matters: Technical issues can directly impact user experience and support call volume. Expected answer: No major outages, but some intermittent slowdowns. Impact on approach: If true, I'd investigate the impact of system performance on user behavior.
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