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Product Management Analytics Question: Evaluating metrics for Skyscanner's multi-city booking feature

what metrics would you use to evaluate skyscanner's multi-city booking option?

Product Success Metrics Medium Member-only
Metric Selection Data Analysis Strategic Thinking Travel E-commerce Online Booking
Conversion Optimization Product Analytics User Behavior Travel Tech Multi-City Booking

Introduction

Evaluating Skyscanner's multi-city booking option requires a comprehensive approach to product success metrics. This feature allows users to book complex itineraries with multiple stops, presenting unique challenges and opportunities. I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Framework Overview

I'll follow a simple success metrics framework covering product context, success metrics hierarchy, and strategic initiatives.

Step 1

Product Context

Skyscanner's multi-city booking option is a feature within their flight search and booking platform. It enables users to plan and book trips with multiple destinations in a single transaction, rather than booking separate one-way or round-trip flights.

Key stakeholders include:

  • Users: Travelers seeking convenient booking for complex itineraries
  • Airlines: Partners providing flight inventory and pricing
  • Skyscanner: The platform facilitating bookings and earning commissions
  • Travel agencies: Potential partners for package deals

User flow:

  1. Users enter multiple destinations and dates
  2. Skyscanner aggregates flight options from various airlines
  3. Users compare and select preferred flights for each leg
  4. Users complete the booking process for the entire itinerary

This feature aligns with Skyscanner's strategy to be a comprehensive travel planning and booking platform, differentiating itself from competitors by offering more complex itinerary options. Compared to competitors like Kayak or Expedia, Skyscanner's multi-city option may offer more flexibility in route planning and potentially better pricing through its aggregation algorithms.

The multi-city booking option is likely in the growth stage of its product lifecycle, with opportunities for optimization and expansion of partnerships to enhance the offering.

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