You have seen a 10% decrease in total bookings on Airbnb this month. What will you do?

Introduction

A 10% decrease in total bookings on Airbnb this month is a significant issue that requires immediate attention and a strategic approach. To address this bookings problem effectively, I'll follow a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders. My approach will involve analyzing the current situation, identifying potential causes, and proposing data-driven solutions to reverse the trend.

Step 1

Product Context

Airbnb is a global online marketplace for short-term lodging and experiences. The platform connects hosts offering accommodations with guests seeking places to stay. Key stakeholders include:

1. Guests: Seeking affordable, unique accommodations
2. Hosts: Looking to monetize their properties
3. Airbnb: Aiming to generate revenue through booking fees
4. Local communities: Impacted by tourism and short-term rentals

User flow:

1. Search: Guests enter destination, dates, and filters
2. Browse: View listings, read reviews, and compare options
3. Book: Select a property and complete the reservation
4. Stay: Experience the accommodation and interact with the host
5. Review: Provide feedback on the stay

Airbnb's strategy focuses on creating unique travel experiences, fostering a sense of belonging, and supporting local economies. The platform competes with traditional hotels, other vacation rental sites like VRBO, and online travel agencies such as Booking.com and Expedia.

Product Lifecycle Stage: Airbnb is in the maturity stage, with a well-established market presence and brand recognition. However, it continues to innovate and expand into new markets and services.

Software-specific context:

• Platform: Web and mobile applications
• Tech stack: Ruby on Rails, React, and various microservices
• Integration points: Payment processors, mapping services, and messaging systems
• Deployment model: Cloud-based infrastructure with continuous deployment