what metrics would you use to evaluate skyscanner's hotel booking feature?

Introduction

Evaluating Skyscanner's hotel booking feature requires a comprehensive approach to product success metrics. To address this challenge effectively, I'll follow a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders. This approach will help us gain a holistic understanding of the feature's performance and its impact on Skyscanner's overall business.

Step 1

Product Context

Skyscanner's hotel booking feature is an integral part of their travel comparison platform, allowing users to search, compare, and book accommodations alongside flights and car rentals. This feature caters to travelers seeking convenient, cost-effective lodging options.

Key stakeholders include:

1. Travelers (end-users)
2. Hotel partners
3. Skyscanner (the company)
4. Online travel agencies (OTAs)

The user flow typically involves:

1. Search: Users input destination, dates, and guest details.
2. Results: The platform displays a list of available hotels with prices and amenities.
3. Comparison: Users can filter, sort, and compare options.
4. Booking: Users select a hotel and complete the reservation process.

This feature aligns with Skyscanner's strategy to become a comprehensive travel platform, expanding beyond its initial focus on flights. It competes with dedicated hotel booking sites like Booking.com and Hotels.com, as well as other metasearch engines like Kayak and Trivago.

In terms of product lifecycle, the hotel booking feature is likely in the growth stage, as Skyscanner continues to expand its offerings and user base in this segment.