A lesson by Hannah Leske.
Most people with significant experience booking travel online are likely to be familiar with Skyscanner. The web- and app-based company has come a long way since its early days as a flight search engine, to become a global leader in the travel industry. Skyscanner helps travelers find inspiration and deals as well as book and manage their trips. Today, more than 100 million users enjoy the company’s services every month.
For this Lesson in Localization, Nimdzi spoke with Valeria Nanni and Hristina Racheva from the Skyscanner localization team.
The “Spotify model”: Small teams come together in larger “tribes,” who work autonomously and maintain an agile approach to development and collaboration.
A strong focus on team cohesion and support: With employees working across a number of countries, the localization team goes above and beyond to foster a positive team culture.
A new hybrid model for managing vendors: Having recently implemented a new model to simplify the localization supply chain, Skyscanner’s localization team now works with four freelance translators and one medium-sized language service provider (LSP).
A foundation of solid research and careful deliberation: For decisions pertaining to vendors and tech resources alike, the localization team doesn’t rush into things. Decisions are made only after all options have been adequately researched and assessed in order to ensure the best results.
Ah, sales... It’s equal parts black magic, sweat and tears, logic, with a bit of luck sprinkled in to make things interesting (and unpredictable). Sales is a process, however, albeit one that is far from straightforward to grasp without proper training.
Founded in San Francisco in 2006, Eventbrite is an online ticketing platform that supports all events, from free community rallies to music festivals and seminars.
Data-driven decision-making is the process of making organizational and strategic decisions based on actual objective data instead of on intuition or observations. Today, every company in every industry aims to minimize the likelihood of business decisions going awry. Data is usually the answer.