Introduction
The sudden 30% decrease in bid requests for Amobee's Connected TV inventory last week is a critical issue that demands immediate attention. As we analyze this product challenge, I'll employ a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.
To tackle this problem, I'll start by asking clarifying questions, rule out basic external factors, and then dive deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and next steps. Throughout this process, I'll consider the broader impact on our product ecosystem and long-term strategy.
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 could directly impact bid requests. Expected answer: Yes, there was a minor update to the bidding algorithm. Impact on approach: If confirmed, I'd focus on the update's specifics and potential unintended consequences.
Why it matters: Technical problems could explain a sudden, large-scale change. Expected answer: There were some intermittent server issues reported last week. Impact on approach: If confirmed, I'd prioritize technical root cause analysis and immediate fixes.
Why it matters: External market factors could influence bid request volumes. Expected answer: No major market shifts, but a competitor launched a new feature. Impact on approach: If confirmed, I'd investigate the competitor's feature and its potential impact on our market share.
Why it matters: Changes in measurement could lead to apparent decreases without actual changes in behavior. Expected answer: No changes to measurement systems or definitions. Impact on approach: If confirmed, I'd focus on actual changes in bid requests rather than measurement issues.
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