Introduction
The recent 15% drop in Lilium Jet booking conversion rates 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 short-term fixes and long-term strategic implications.
My approach will involve a thorough examination of internal and external factors, data analysis, hypothesis generation, and validation strategies. We'll explore technical, user behavior, and product-related aspects to uncover the underlying reasons for this conversion decline.
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: Seasonal trends could explain fluctuations in booking behavior. Expected answer: Yes, it's been compared and the drop is still significant. Impact on approach: If seasonal, we'd focus on year-over-year comparisons rather than month-over-month.
Why it matters: Identifying affected segments helps narrow down potential causes. Expected answer: The drop is more pronounced in the leisure traveler segment. Impact on approach: We'd focus our investigation on factors specifically affecting leisure travelers.
Why it matters: Recent changes could directly impact user behavior and conversion rates. Expected answer: A new pricing algorithm was implemented 6 weeks ago. Impact on approach: We'd prioritize analyzing the impact of this pricing change on conversion rates.
Why it matters: Competitive landscape changes could influence customer choices. Expected answer: A major competitor launched a promotional campaign last month. Impact on approach: We'd need to assess our market positioning and value proposition relative to competitors.
Why it matters: Ensures we're working with accurate and comparable data. Expected answer: Yes, the definition and tracking systems have remained consistent. Impact on approach: If inconsistent, we'd need to first address data quality issues before proceeding with further analysis.
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