Separate content from interface logic
Store interface text, emails, notifications and help content in a structured localisation system. Avoid embedding strings inside application logic. Plan for text expansion, different date and number formats and plural rules.
Use stable message identifiers and context notes so translators understand where and how language appears.
Localise meaning, not words
Product terminology should reflect how customers describe the problem in each market. Search queries, category names and calls to action may need adaptation rather than literal translation.
Native review is essential for high-visibility and high-risk journeys. Tone should remain recognisable as the same brand without sounding imported.
Test the complete journey
Review registration, payments, errors, transactional emails, documents and support, not only main screens. Mixed-language experiences quickly weaken trust.
Test layouts with real translations and accessibility settings. Automated checks can identify missing strings, but human use reveals awkward context.
Create ownership and governance
Define who approves terminology, how updates are translated and what happens when one language is delayed. A shared glossary and content model protect consistency.
Wishmakers operates across European, Moroccan and Brazilian contexts. That experience reinforces a simple principle: international products need one coherent system and genuine local understanding.
Build what comes next
Turn the idea into a working system.
Wishmakers designs, builds and operates AI-native products, software systems and digital ventures across Europe, Morocco and Brazil.
Europe, Morocco and Brazil Product Engineering
Frequently asked questions
What is the difference between internationalisation and localisation?
Internationalisation prepares the product architecture for multiple markets. Localisation adapts the experience for a specific market.
Should every language launch at the same time?
Not necessarily. Staged launches can reduce risk if users receive a complete experience in each released language.
Can machine translation be used?
Yes for selected workflows, with review levels based on visibility, nuance and consequence.