Introduction
Tealium's AudienceStream CDP has experienced a 15% drop in new customer activations over the past month, signaling a significant issue that requires immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the product and business.
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 fluctuations could explain the drop and impact our solution approach. Expected answer: Yes, it has been compared, and this drop is unusual for this time of year. Impact on approach: If seasonal, we'd focus on year-over-year trends; if not, we'd investigate recent changes.
Why it matters: Changes in metric definition could artificially create a drop without actual performance issues. Expected answer: No changes in metric definition or tracking methods. Impact on approach: If changed, we'd need to recalculate using consistent methods; if not, we'd focus on performance factors.
Why it matters: Segmented analysis could reveal targeted issues rather than a system-wide problem. Expected answer: The drop is more pronounced in enterprise-level customers. Impact on approach: If segmented, we'd investigate segment-specific factors; if uniform, we'd look at broader issues.
Why it matters: Recent changes could directly impact new customer activations. Expected answer: A new onboarding process was implemented six weeks ago. Impact on approach: If changes occurred, we'd scrutinize their impact; if not, we'd look at external factors or competitor actions.
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