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Company focus

OYO

What caused the sudden 30% decrease in OYO Rooms's premium category occupancy rates across major cities last quarter?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking Hospitality Travel E-commerce Data Analysis Root Cause Analysis Customer Behavior Hospitality Revenue Management
Product Management Root Cause Analysis Question: Investigating OYO Rooms' sudden occupancy rate decrease in premium category

Introduction

The sudden 30% decrease in OYO Rooms's premium category occupancy rates across major cities last quarter is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the business.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive analysis that not only pinpoints the cause of the occupancy rate drop but also outlines actionable steps to rectify the situation and prevent future occurrences.

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 a seasonal factor at play. Has this 30% decrease been compared to the same quarter last year, or is it a quarter-over-quarter comparison?

Why it matters: Seasonal fluctuations can significantly impact occupancy rates, and understanding the comparison basis is crucial for accurate analysis. Expected answer: It's a year-over-year comparison for the same quarter. Impact on approach: If it's year-over-year, we'll need to look deeper into non-seasonal factors.

  • Considering the specificity of the premium category, I'm wondering if there have been any recent changes to how OYO classifies or prices its premium rooms. Have there been any adjustments to the premium category definition or pricing strategy in the last 6 months?

Why it matters: Changes in classification or pricing could directly affect occupancy rates by altering customer perceptions or willingness to book. Expected answer: There was a slight increase in premium room prices about 4 months ago. Impact on approach: This could be a significant factor, and we'd need to analyze the price elasticity of demand for premium rooms.

  • Given the broad impact across major cities, I'm curious about any changes in OYO's marketing or distribution channels. Have there been any significant shifts in marketing spend or changes in partnerships with online travel agencies (OTAs) in the affected cities?

Why it matters: Changes in marketing or distribution could affect visibility and bookings, especially for premium category rooms. Expected answer: Marketing spend has remained consistent, but there was a renegotiation of terms with a major OTA. Impact on approach: We'd need to investigate the impact of the OTA renegotiation on premium room visibility and bookings.

  • Considering potential technical issues, I'm wondering about the stability of OYO's booking platform. Have there been any reported outages, glitches, or user experience issues specifically related to premium room bookings in the last quarter?

Why it matters: Technical issues can directly impact booking rates and user trust, leading to decreased occupancy. Expected answer: There were some intermittent issues with the mobile app's search functionality for premium rooms. Impact on approach: We'd need to quantify the impact of these technical issues and prioritize their resolution.

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NextSprints

Updated Jan 4, 2025