Introduction
MakeMyTrip's 15% drop in hotel booking conversion rate over the past month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.
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 the conversion rate change. 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.
Why it matters: Identifies if the issue is global or specific to certain users. Expected answer: The drop is more pronounced in first-time users. Impact on approach: We'd focus on the onboarding and first-time user experience.
Why it matters: Recent changes could directly impact conversion rates. Expected answer: A new pricing algorithm was implemented 6 weeks ago. Impact on approach: We'd scrutinize the impact of this algorithm change.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in tracking or calculation methods. Impact on approach: We'd focus on actual user behavior changes rather than measurement issues.
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