Localization Quality Assessment (LQA) Survey
Captures end-user evaluations of translated content across fluency, cultural fit, intent accuracy, and tone. Designed for LQA teams seeking structured feedback to prioritize localization improvements.
샘플 질문
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For the following questions, please think about your most recent session using a localized version of our product—ideally within the last 30 days.
The localized text was free of grammar and spelling errors.
The localized content felt culturally appropriate for my locale.
The localized text accurately preserved the intended meaning of the original content.
The overall formality level of the localized content felt…
- Much too informal
- Slightly too informal
- About right
- Slightly too formal
- Much too formal
We'd like to explore your localization experience in a bit more depth. An AI moderator will ask you a couple of follow-up questions based on your earlier responses.
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for your time. Your feedback directly helps us improve the quality of localized experiences across all our products.
When did you last use a localized version of our product?
- Today
- Yesterday
- 3–7 days ago
- 8–30 days ago
- More than 30 days ago
- Not sure
The localized text sounded natural, as if written by a native speaker.
Which of the following elements, if any, felt awkward or out of place? Select all that apply.
- Idioms or sayings
- Humor or jokes
- Examples or scenarios
- Date, time, or measurement formats
- Address or phone formats
- Honorifics, titles, or formality level
- Images or symbols
- Currency or pricing formats
- None of the above
- Other (please specify)
Instructions and guidance in the localized content were clear and easy to follow.
Approximately how many localization issues did you notice during your session?
- None
- 1–2
- 3–5
- 6–10
- More than 10
Based on your responses in this survey, please share any additional thoughts, examples, or suggestions about the localized experience.
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Which language or locale are you evaluating today?
- Spanish (Spain)
- Spanish (Latin America)
- French (France)
- French (Canada)
- German
- Italian
- Portuguese (Brazil)
- Portuguese (Portugal)
- Japanese
- Korean
- Chinese (Simplified)
- Chinese (Traditional)
- Arabic
- Other (please specify)
The localized text was easy to read and understand.
If you noticed something that felt culturally off, please describe one example and how you would improve it.
Please rank the following aspects of localization quality in order of importance to you (1 = most important).
- Accurate meaning
- Cultural fit
- Readability and flow
- Consistent terminology
- Tone and voice alignment
- Brevity and conciseness
In which country or region do you currently live?
- United States
- Canada
- United Kingdom
- Germany
- France
- Spain
- Italy
- Brazil
- Portugal
- Japan
- South Korea
- Mexico
- Argentina
- Colombia
- Other (please specify)
Where did you encounter the localized text? Select all that apply.
- App/website UI
- Onboarding or tutorials
- Help Center or FAQs
- Marketing pages or ads
- Transactional emails or SMS
- Customer support chat
- Legal/Terms
- In-app notifications
- Other (please specify)
Overall, how would you rate the quality of the localized language you experienced?
How would you rate your proficiency in the source language (e.g., English)?
- Native or bilingual
- Advanced (fluent)
- Intermediate (conversational)
- Beginner (basic)
- No proficiency
How would you rate your proficiency in the target locale language you evaluated?
- Native or bilingual
- Advanced (fluent)
- Intermediate (conversational)
- Beginner (basic)
- No proficiency
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
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차별화 포인트
- Includes dedicated opinion-scale questions covering grammar/spelling, natural phrasing, readability, cultural appropriateness, and intent-accuracy of the translated content — the core LQA dimensions
- Uses an AI follow-up interview to probe deeper into any cultural or tone issues a respondent flags, going beyond a static rating
- Captures context (locale, where the text was encountered, source and target language proficiency) so LQA teams can segment and prioritize issues by locale
- Ends with an auto-generated report structure supported by transparent, reviewable AI prompts, unlike closed-box scoring in generic quality templates
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