Student pricing is available for eligible university email holders. View plans

NextSprints
NextSprints Icon NextSprints Logo
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Practice Meta-focused PM cases

Amazon PM Interview Course

Practice Amazon-focused PM cases

Apple PM Interview Course

Practice Apple-focused PM cases

Google PM Interview Course

Practice Google-focused PM cases

Microsoft PM Interview Course

Practice Microsoft-focused PM cases

All Courses

Explore all courses

1:1 PM Coaching

Practice in a one-to-one session

Resume Review

Narrate impactful stories via resume

Guides Pricing
nextsprints logo

Not a member?

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement.

nextsprints logo

Register to continue.

Login with Google Login with LinkedIn

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement .

Company focus

MakeMyTrip

Why has MakeMyTrip's hotel booking conversion rate dropped by 15% over the past month?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem-Solving Strategic Thinking Travel E-commerce Hospitality User Experience Conversion Optimization Data Analysis Root Cause Analysis Travel Tech
Product Management Root Cause Analysis Question: Investigating MakeMyTrip's hotel booking conversion rate decline

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)

  • 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 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.

  • Considering user segments, I'm curious if this drop is uniform across all user types. Have we seen any particular user segment more affected than others?

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.

  • Thinking about recent changes, have there been any significant updates to the hotel booking flow or pricing algorithm in the last 1-2 months?

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.

  • Considering technical aspects, has there been any change in how we're tracking or calculating the conversion rate?

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.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025