Introduction
The sudden 30% increase in customer support tickets for LGC's genomics services over the past two weeks 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 customers.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and next steps.
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 support ticket spikes. Expected answer: Yes, a new feature was launched three weeks ago. Impact on approach: If true, I'd focus on that feature's implementation and user experience.
Why it matters: Helps narrow down potential causes and target our investigation. Expected answer: The increase is more pronounced in our academic research segment. Impact on approach: I'd prioritize investigating issues specific to that user group.
Why it matters: Regulatory changes can significantly impact our services and user experience. Expected answer: No major regulatory changes in the past quarter. Impact on approach: If true, I'd focus more on internal factors rather than external compliance issues.
Why it matters: Changes in tracking could artificially inflate numbers without an actual increase in issues. Expected answer: No recent changes to the support ticket system. Impact on approach: If confirmed, I'd be more confident that the increase reflects a real issue.
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