Translation Quality & Localization UX Assessment
Measures translation quality, tonal appropriateness, and terminology consistency for multilingual digital products. Designed for product and localization teams seeking diagnostic feedback to improve global user experience.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
In the past 30 days, how often did you use a product or website in a language other than your primary language?
- Daily
- Several times a week
- About once a week
- A few times this month
- Not in the past 30 days
The following questions are about your most recent session using a product or website in a non-primary language.
Overall, did the product use the same terms and labels consistently throughout?
- Yes, clearly consistent
- Partly consistent
- Not consistent
- Not sure
If possible, share one or two examples where the translation seemed inconsistent or incorrect. Include the term you expected, if known.
Finally, a few questions about you for classification purposes.
Thank you for your feedback — your responses will directly help us improve the localization and translation quality of our products. If you have any questions, please contact us at [support email].
Which interface language do you mainly use right now?
- English
- Spanish
- Chinese (Simplified)
- Chinese (Traditional)
- French
- German
- Portuguese
- Arabic
- Hindi
- Japanese
- Korean
- Russian
- Italian
- Other
- Prefer not to say
How would you rate the overall translation quality?
Where did you notice inconsistent terminology? Select all that apply.
- Buttons and labels
- Menus or navigation
- Error messages
- Help/FAQ or support
- Onboarding or tutorials
- Legal or policy text
- Marketing or promotional text
- System notifications
- Search and filters
- Other (please specify)
- I did not notice any inconsistencies
If you could suggest one change to improve the translations, what would it be?
In which region do you currently live?
- North America
- Central America & Caribbean
- South America
- Western Europe
- Eastern Europe
- Middle East & North Africa
- Sub-Saharan Africa
- South Asia
- East Asia
- Southeast Asia
- Central Asia
- Oceania
- Prefer not to say
In the past 30 days, which languages did you actively read or interact with online? Select all that apply.
- English
- Spanish
- Chinese (Simplified)
- Chinese (Traditional)
- French
- German
- Portuguese
- Arabic
- Hindi
- Japanese
- Korean
- Russian
- Italian
- Other
- Prefer not to say
How would you rate the accuracy of the translations (i.e., the meaning was correct and complete)?
Please rank the following areas from most to least in need of translation improvement.
- Buttons and labels
- Menus or navigation
- Error messages
- Help/FAQ or support
- Onboarding or tutorials
- Legal or policy text
- System notifications
Based on your responses in this survey, please share any additional thoughts or feelings about your experience with translated or localized content. Our AI moderator may ask a follow-up question to better understand your perspective.
Which age group do you fall into?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
How would you rate the naturalness of the translations (i.e., the text read as if it were originally written in that language)?
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
How would you rate the cultural appropriateness of the translations (i.e., the content felt relevant and respectful for your culture)?
How would you rate your proficiency in the non-primary language you use most often online?
How would you describe the tone and formality of the translated text?
In the past 30 days, how often did you notice translations that were unclear, awkward, or incorrect?
- Never
- Rarely
- Sometimes
- Often
- Very often
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
Why this template
What this template is built to do — we found no directly comparable template from other survey tools to review.
What sets it apart
- Includes dedicated opinion-scale ratings for translation accuracy, naturalness, and cultural appropriateness — not just a single overall quality score
- Captures terminology consistency issues with a multi-select question on where inconsistencies were noticed, plus open-text examples
- Uses an AI follow-up interview to probe respondents' additional thoughts based on their specific prior answers, going beyond static rating grids
- Includes a ranking question to prioritize which localization areas most need improvement, giving product and localization teams actionable diagnostic direction
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies from the same category.
Live Chat vs. Async Messaging: Support Channel Preference Survey
Measures customer preferences, satisfaction, and response-time expectations across live chat and asynchronous messaging channels to guide support channel investment and design decisions.
View templateKnowledge Base Content Effectiveness Survey
Measures article findability, clarity, completeness, and task-completion outcomes for knowledge base users. Use to identify content gaps and prioritize help center improvements.
View templateInsurance Claims Experience & Satisfaction Survey
Measures policyholder satisfaction across the full claims journey — from submission through resolution — using CSAT and NPS metrics to pinpoint friction points and improvement opportunities.
View templateRestaurant Guest Satisfaction & NPS Survey
Measures guest satisfaction across food quality, service, ambiance, and value while capturing Net Promoter Score. Designed for restaurant operators seeking to identify loyalty drivers and prioritize operational improvements.
View templateCustomer & Prospect Journey Mapping Survey
Measures ease, satisfaction, and pain points across each stage of the customer and prospect journey. Designed for CX researchers seeking to identify drop-off risks, high-impact touchpoints, and conversion barriers.
View templatePost-Cancellation Exit & Win-Back Survey
Captures structured cancellation feedback from recently churned customers to identify primary churn drivers, unmet value expectations, and win-back levers for product and retention teams.
View template