Introduction
KAYAK's flight search conversion rate dropping by 15% over the past month is a significant issue that requires immediate attention. This decline could have far-reaching implications for the company's revenue, market position, and user satisfaction. I'll approach this problem systematically, focusing on identifying potential root causes, 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 trends can significantly impact travel behavior. Expected answer: Yes, it's been compared and is still abnormal. Impact on approach: If seasonal, we'd focus on year-over-year comparisons rather than month-over-month.
Why it matters: Different user segments may require tailored solutions. Expected answer: The drop is more pronounced among leisure travelers. Impact on approach: We'd prioritize investigating factors affecting leisure travel decisions.
Why it matters: Recent changes could directly correlate with the conversion drop. Expected answer: A new flight filtering system was implemented three weeks ago. Impact on approach: We'd focus on the impact and user reception of this new feature.
Why it matters: Competitive moves could be drawing users away from KAYAK. Expected answer: No significant changes from major competitors. Impact on approach: We'd shift focus more towards internal factors and user experience issues.
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