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Product Management Root Cause Analysis Question: Investigating Lilium Jet's booking conversion rate decline

Asked at Lilium

15 mins

Why has the conversion rate for Lilium Jet bookings dropped by 15% in the past month?

Data Analysis Problem Solving Strategic Thinking Aviation Urban Air Mobility Travel Tech
Product Strategy Conversion Optimization Data Analysis Root Cause Analysis Aviation Tech

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)

  • Looking at the timing, I'm thinking there might be seasonal factors at play. Has this 15% drop been compared to the same period last year?

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.

  • Considering user segments, I'm curious if this drop is uniform across all customer types. Have we seen any particular segment (e.g., business vs. leisure travelers) more affected?

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.

  • Thinking about recent changes, have there been any significant updates to the booking process or pricing structure in the past 1-2 months?

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.

  • Considering external factors, has there been any notable shift in competitor offerings or marketing strategies recently?

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.

  • Regarding data integrity, can we confirm that the definition of "conversion rate" has remained consistent and that our tracking systems are functioning correctly?

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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