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모든 템플릿

Cross-Department Performance & Collaboration Review

Captures how internal stakeholders experience working with a specific department — responsiveness, quality, communication, and reliability — plus a trade-off exercise on what to fix first. An AI follow-up interview reconstructs a specific recent interaction behind the numbers so leaders get concrete, fixable detail instead of vague ratings.

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샘플 질문

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

질문 12개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to share feedback on a department you work with. This helps that team understand what's working and what to improve. Your responses are completely confidential and anonymized. About 5 minutes, and your honest take matters most.

Q02
객관식필수

Which department are you evaluating in this survey?

  • (Replace with Department A, e.g. IT)
  • (Replace with Department B, e.g. Finance)
  • (Replace with Department C, e.g. HR)
  • (Replace with Department D, e.g. Marketing)
Q03
객관식필수

In the last 3 months, how often have you interacted with this department (requests, projects, meetings, etc.)?

  • Not at all
  • A few times total
  • A few times a month
  • Weekly
  • Almost daily
Q04
매트릭스필수

Thinking about your recent experience, how would you rate this department on each of the following?

5개 행 × 5개 열
  • Communication clarity
  • Responsiveness to requests
  • Quality of deliverables
  • Reliability in meeting deadlines
  • Collaboration across teams
열: Poor · Below average · Average · Good · Excellent
Q05
의견 척도필수

How likely are you to recommend working with this department to another team or colleague?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q06
최선·최악 선택형(MaxDiff)필수

Which of these matters most for this department to improve, and which matters least right now?

  • Faster response times
  • Higher quality of deliverables
  • More proactive communication
  • Better cost or budget management
  • Stronger cross-team collaboration
  • More consistent deadline delivery
  • Deeper technical expertise
  • Greater adaptability to change
세트별 최선·최악 선택최선:Most important to improve최악:Least important to improve
Q07
객관식필수

Compared to 6 months ago, how has this department's performance changed?

  • Improved a lot
  • Improved somewhat
  • Stayed about the same
  • Declined somewhat
  • Declined a lot
  • Not sure / too new to say
Q08
AI 인터뷰

Reconstruct the most recent specific interaction the respondent had with this department (a request, project, or handoff): what they needed, what actually happened, and what went well or fell short. Anchor closely on the reason behind their recommendation score and the trade-off item they picked as most important to improve. If they rated performance as declining, probe what changed and when; if it's their first real interaction, ask what would build confidence going forward.

Q09
장문형

Is there anything specific this department could start, stop, or keep doing to work better with your team?

Q10
객관식

Which department do you primarily work in?

  • (Replace with Department A)
  • (Replace with Department B)
  • (Replace with Department C)
  • (Replace with Department D)
  • Prefer not to say
Q11
객관식

How long have you been at the organization?

  • Less than 6 months
  • 6 months to 2 years
  • 2 to 5 years
  • More than 5 years
  • Prefer not to say
Q12
메시지

Thank you for the detailed feedback! Your responses will be compiled into a department performance report shared with team leads to guide concrete improvements.

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 static ratings with an AI follow-up interview that reconstructs the specific recent interaction behind a respondent's scores, giving leaders concrete, fixable detail instead of vague averages.
  • Includes a trade-off exercise (max-diff) that forces respondents to prioritize what to fix first versus rating everything as equally important.
  • Combines quantitative tracking (matrix ratings, recommend-likelihood, change-over-time question) with qualitative depth (open-ended start/stop/keep and the AI-reconstructed interaction) in one flow.
  • Segments feedback by requester department, interaction frequency, and tenure, so results can be sliced by who is experiencing the friction and how often.

SurveyMonkey

Department Performance Survey Template

A static, fielding-ready template built specifically for rating how stakeholders experience working with an internal department, making it the most directly comparable template found. It relies on fixed rating-scale and open-text questions rather than any adaptive interviewing. As with most SurveyMonkey templates, it's meant to be customized before use rather than run as-is.

잘하는 점

  • Purpose-built for the same core use case: internal stakeholders rating a department's performance
  • Backed by a large, well-known survey platform with broad distribution and reporting tooling
  • Likely quick to deploy given SurveyMonkey's drag-and-drop template editor

아쉬운 점

  • No adaptive AI follow-up interview to reconstruct the specific recent interaction behind a low or high score — respondents just leave ratings
  • No built-in trade-off/prioritization exercise (like max-diff) to surface what to fix first versus what's merely nice-to-have
  • No transparent, publishable interview prompts or automated per-response quality scoring — quality control is left to the researcher

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