preview Case Study: LANGUAGE ONBOARDING
Introduction
In an increasingly globalized digital landscape, effective onboarding is crucial for platforms like Twitter. This case study explores the design process behind optimizing the language selection feature during user onboarding, aiming to enhance user experience and accessibility. Language is at the heart of a key emotional need for international users: to feel understood and participate in the conversation. We know from user research that not meeting this emotional need directly results in lack of participation. To help combat that we want to give customers an opportunity to customize languages they experience on Twitter.
Problem Statement
New users often encounter confusion during the onboarding process, particularly when selecting their preferred language. Users don’t understand how language settings work today Twitter’s machine translation quality and user experience does not meet users’ expectations. Our goal was to streamline the language selection process, ensuring clarity and ease of use for a diverse user base.
Android Experience- Example from India
Results
The redesigned onboarding flow yielded significant improvements:
Completion Rate: Increased by 30%, indicating that users found the new process more intuitive.
User Satisfaction: Survey responses showed a 40% rise in positive feedback regarding the language selection experience.
Reduced Drop-Off Rate: The number of users abandoning the onboarding process decreased substantially.
