1 min read
|
Saved February 14, 2026
|
Copied!
Do you care about this?
This article outlines how teams can implement design-stage localization to streamline their translation processes. It covers a 10-step AI-powered approach, addresses common challenges, and provides real case studies to illustrate success. Bonus materials include workflow templates and design mock-ups.
If you do, here's more
The article emphasizes the advantages of integrating localization into the design stage of product development. By making this shift, teams can address potential translation issues before hitting production, significantly reducing delays. It highlights case studies from companies like Maven Clinic, Life360, DBS Bank, and Withings, showcasing their success in launching global products ten times faster than traditional methods.
A key feature is the AI-powered 10-step process for implementing design-stage localization. This includes automated quality scoring that identifies problems early and intelligent routing that ensures 90% of translations are ready for publication. Such a streamlined approach not only speeds up the process but also enhances the quality of translations.
The article also tackles common challenges in localization, providing strategies for onboarding stakeholders and demonstrating return on investment. It outlines how to integrate tools across the company effectively, drawing on experiences from teams that have successfully made this transition. As a bonus, it offers free workflow templates and design mock-ups, allowing teams to customize their processes using ready-made assets in Figma.
Questions about this article
No questions yet.