Introduction
The recent 15% drop in click-through rate (CTR) for Algolia's search results among e-commerce customers is a critical issue that demands immediate attention. This decline in CTR not only affects our customers' bottom line but also potentially signals underlying problems with our search functionality or user experience. To address this complex problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
Framework overview
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 search relevance and CTR. Expected answer: Yes, there was a minor update to improve search speed. Impact on approach: If confirmed, we'd focus on validating the update's impact on result relevance.
Why it matters: Seasonal trends could explain CTR changes in e-commerce. Expected answer: The comparison is week-over-week, not year-over-year. Impact on approach: If seasonality isn't accounted for, we'd need to analyze historical data for context.
Why it matters: Ensures we're addressing a real issue, not a reporting anomaly. Expected answer: No known changes to tracking or reporting systems. Impact on approach: If confirmed, we'd focus on actual user behavior changes rather than data issues.
Why it matters: Helps identify if the issue is platform-specific or universal. Expected answer: The drop is more significant on mobile devices. Impact on approach: If mobile-specific, we'd prioritize investigating mobile UX and performance issues.
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