Introduction
A sudden 30% increase in customer support inquiries for Everly Health's food sensitivity tests is a significant issue that demands immediate attention. This spike could indicate underlying problems with the product, user experience, or external factors affecting our customers. I'll approach this analysis systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term 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: Seasonal patterns could explain the surge and help predict future trends. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on capacity planning; if not, we'd investigate other factors.
Why it matters: Identifying affected segments could point to specific issues or changes in user behavior. Expected answer: The increase is primarily seen in new users. Impact on approach: If new users are affected, we'd focus on onboarding and product clarity; if all users, we'd look at broader product issues.
Why it matters: Recent changes could directly correlate with the increase in support inquiries. Expected answer: A new version of the test kit was released last month. Impact on approach: If changes were made, we'd scrutinize those specific updates; if not, we'd look at external factors or gradual shifts in user behavior.
Why it matters: Identifying patterns in support tickets could quickly point to the root cause. Expected answer: Many inquiries are related to confusion about test results interpretation. Impact on approach: If there's a common theme, we'd focus on that specific area; if diverse issues, we'd need to consider multiple factors.
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