Auto-Translations in Surveys: Best Practices for Accurate Reporting

Hello, 

when you're working with auto-translations for survey responses, it's usually best to treat machine translation as a solid starting point rather than the final word. Having a human translator give things a once-over helps catch errors and keeps your data reliable. You should definitely make use of the Q_Language embedded data field in your survey flow; it’s a lifesaver for tracking which language participants used and makes filtering your reports much easier.

To keep things smooth for your respondents, try using automatic language detection or language codes in your links so they see the survey in their preferred tongue right away. If you’re dealing with open-text comments, you can even set up workflows to translate those into a base language for easier analysis, though it's a good idea to let stakeholders toggle between the original text and the translation for full context. Just keep in mind that machine translation isn't perfect, so using branch logic with that language data ensures people only see what’s relevant to them. For more details on getting this set up, check out this support page on Translating Surveys.