모든 템플릿

Workplace Language Proficiency Self-Assessment Survey

Assesses how employees or candidates actually use a target language on the job — across speaking, listening, reading, and writing — for HR, L&D, and global teams making staffing or training decisions, with an AI follow-up interview that stress-tests self-reported confidence against a real recent high-stakes work conversation.

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 14개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to reflect on your language skills at work. Your responses are completely confidential and anonymized. There are no wrong answers — honest, specific answers help us understand what real support you need. About 5-6 minutes.

Q02
단문형필수

Which language are you being assessed in for this survey (e.g., Spanish, Mandarin, French)?

Q03
객관식필수

Which best describes how you use this language at work?

  • Primarily with colleagues
  • Primarily with clients or customers
  • Primarily with vendors or partners
  • A mix of these contexts
  • I rarely use it at work
Q04
매트릭스필수

How would you rate your current ability in each area of this language?

4개 행 × 4개 열
  • Speaking / conversation
  • Listening comprehension
  • Reading
  • Writing
: Beginner · Intermediate · Advanced · Native / fluent
Q05
의견 척도필수

Overall, how confident are you communicating in this language during high-pressure work situations (e.g., negotiations, urgent client calls)?

척도: 010
최소:Not confident at all최대:Extremely confident
Q06
객관식필수

In the last 30 days, how often did you use this language for work tasks?

  • Daily
  • Several times a week
  • Once a week
  • A few times a month
  • Not at all
Q07
객관식

Which of the following have you done in this language in the last 30 days? Select all that apply.

  • Led or participated in a meeting
  • Wrote a formal email or report
  • Made a phone or video call
  • Negotiated or resolved a conflict
  • Presented to an audience
Q08
순위 매기기필수

Rank these language skills from the one that most limits your work performance to the one that least does.

  1. Speaking / conversation
  2. Listening comprehension
  3. Reading
  4. Writing
  5. Industry-specific vocabulary
  6. Grammar accuracy
드래그하여 순위 지정
Q09
평점 척도

How easy or difficult is it for you to handle an unplanned, high-stakes conversation in this language (e.g., an upset client call with no prep time)?

범위: 15
최소:Very difficult최대:Very easy
Q10
AI 인터뷰

Reconstruct the respondent's most recent high-stakes work conversation in this language: what was at stake, which specific words, phrases, or grammar points they stumbled on, and whether they leaned on a colleague, a translation tool, or a script to get through it. If their confidence rating was high, stress-test it by asking about a scenario with zero preparation time; if the skill they ranked as most limiting was writing, probe a specific email or report they struggled to produce and what they'd change about it.

Q11
단문형

Describe one specific situation in the last few months where a language gap — yours or someone else's — caused a real problem at work, and how it got resolved.

Q12
객관식

What is your highest level of formal instruction in this language?

  • No formal instruction
  • Some coursework
  • Completed a course or certificate program
  • Degree or professional certification
  • Prefer not to say
Q13
객관식

Which age range do you fall into?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q14
메시지

Thank you! Your answers, along with your AI follow-up interview, will be used to shape targeted language support and training rather than a generic score — we appreciate your honesty.

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.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Goes beyond self-rated confidence with an AI follow-up interview that reconstructs the respondent's actual most recent high-stakes work conversation, stress-testing whether stated proficiency matches real usage
  • Separately assesses speaking, listening, reading, and writing via a rating matrix, plus a ranking question that pinpoints which specific skill most limits on-the-job performance
  • Captures real behavioral frequency and recent activities (last 30 days) rather than relying only on abstract self-assessment scales
  • Auto-generates a report combining structured responses with the AI interview findings, giving HR/L&D a single evidence-based view for staffing or training decisions

Jotform

Language Proficiency Survey Form Template

A ready-to-use static form template for gathering self-reported language proficiency levels. It's built for quick deployment and customization within Jotform's form builder, but it is a fixed question set rather than an adaptive interview. Best suited for simple intake rather than deep skill verification.

잘하는 점

  • Fielding-ready template that can be deployed and customized quickly
  • Benefits from Jotform's broad form-building ecosystem (logic, integrations, styling)

아쉬운 점

  • Static question set with no adaptive follow-up to probe or verify self-reported proficiency
  • No mechanism to test claims against a real recent work scenario
  • No published methodology for how responses translate into a proficiency score

SurveyMonkey

Language Proficiency Survey Template

A standard survey template for measuring self-assessed language ability, leveraging SurveyMonkey's familiar survey infrastructure and analytics. It relies on fixed questions and scales rather than any conversational or interview-based verification. Useful for broad benchmarking but not for validating high-stakes workplace communication ability.

잘하는 점

  • Backed by SurveyMonkey's established survey distribution and reporting tools
  • Simple, familiar format likely to have high completion rates

아쉬운 점

  • No adaptive or AI-driven follow-up to test whether self-ratings hold up in real scenarios
  • No voice or guided-task component to observe actual language use
  • Analytics are aggregate/statistical rather than per-response quality scoring

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