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Industry-Specific

Post-Interview Candidate Evaluation Survey

Captures structured feedback from interviewers right after a candidate interview — competency ratings, hiring recommendation, and top strengths — plus an AI follow-up that pulls concrete evidence and specific moments behind the recommendation instead of just a gut-feel score. Built for hiring managers and recruiting teams standardizing interviewer feedback across panels.

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샘플 질문

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

질문 11개 · 약 6분
Q01
메시지

Thanks for taking a few minutes to share your feedback on the interview you just conducted. This helps us keep hiring decisions consistent and evidence-based. Your responses are completely confidential and anonymized. About 5 minutes.

Q02
객관식필수

Which stage of the interview process was this?

  • Phone or video screen
  • First-round interview
  • Technical or skills assessment
  • Panel interview
  • Final round with leadership
Q03
매트릭스필수

Rate the candidate on each of the following, based only on what you observed in this interview.

5개 행 × 5개 열
  • Communication skills
  • Technical or role-specific skills
  • Problem-solving approach
  • Culture and team fit
  • Motivation and interest in the role
열: Below expectations · Meets some expectations · Meets expectations · Exceeds expectations · Outstanding
Q04
평점 척도

How confident are you in the assessment you're about to submit?

범위: 1 – 5
최소:Not at all confident최대:Extremely confident
Q05
의견 척도필수

How strongly would you recommend moving this candidate forward in the process?

척도: 1 – 10
최소:Would not recommend최대:Strongly recommend
Q06
객관식필수

What is your overall hiring decision for this candidate?

  • Strong hire
  • Hire
  • No hire
  • Strong no hire
Q07
순위 매기기

Rank the candidate's qualities from strongest to weakest based on this interview.

  1. Communication
  2. Technical depth
  3. Problem-solving
  4. Culture fit
  5. Leadership potential
  6. Relevant experience
드래그하여 순위 지정
Q08
장문형

What specific concerns, inconsistencies, or red flags (if any) came up during this interview?

Q09
단문형

What's one specific moment or answer from this interview that best supports your rating?

Q10
AI 인터뷰필수

Probe the reasoning behind the interviewer's overall recommendation: ask for a concrete example or specific answer the candidate gave that best illustrates their strongest and weakest competency area from the ratings above. If the recommendation is borderline (e.g., 'Hire' paired with low confidence, or a strength ranking that contradicts the competency ratings), dig into what tipped the decision and what would need to be true for the interviewer to change their mind.

Q11
메시지

Thank you for the detailed feedback — it will be compiled with other interviewers' input to support a fair, consistent hiring decision for this candidate.

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

  • Includes a structured competency matrix plus an overall hiring recommendation and decision field, so panels rate consistently before deciding
  • Pairs a short-answer prompt for a concrete supporting moment with a open-text field for concerns or red flags, capturing evidence rather than just a score
  • Adds an AI follow-up interview that probes the interviewer's reasoning and asks for specific moments behind their recommendation, going beyond a static form
  • Includes a ranking question and a confidence rating so you can see not just what an interviewer decided but how sure they were and what mattered most

Jotform

Candidate Evaluation Form Template

A ready-to-use, customizable candidate evaluation form builder with drag-and-drop editing and integrations typical of Jotform's form ecosystem. It's built for general form creation rather than interview-specific workflows, so structure and question logic are left to the user. No mention of AI-driven follow-up or evidence-gathering beyond static fields.

잘하는 점

  • Highly customizable drag-and-drop form builder
  • Easy integration with Jotform's broader form/workflow ecosystem
  • Quick to deploy for basic candidate rating collection

아쉬운 점

  • Static form fields only — no adaptive AI follow-up to probe reasoning behind ratings
  • No built-in mechanism to surface specific evidence or moments behind a recommendation
  • No published methodology for how responses are scored or interpreted

SurveyMonkey

Streamline Hiring With A Candidate Evaluation Form Template

A standard candidate evaluation template within SurveyMonkey's broader survey platform, likely covering basic rating scales and hiring recommendation fields. It's positioned as a general HR template rather than one purpose-built to standardize interviewer panels or capture qualitative evidence. Reporting is presumably aggregate/dashboard-style rather than evidence-focused.

잘하는 점

  • Familiar, widely-used survey platform with broad distribution options
  • Likely includes standard rating and recommendation question types
  • Easy to launch quickly given SurveyMonkey's template library

아쉬운 점

  • No adaptive AI interview or follow-up probing built into the template
  • No structured field specifically designed to capture concrete supporting moments or red flags
  • No transparency into scoring methodology or prompt logic

Typeform

Interview Evaluation Form Template

A conversational, one-question-at-a-time form template suited to Typeform's design-forward style, good for a clean interviewer experience. It appears to be a static template focused on presentation rather than adaptive follow-up or evidence extraction. Useful for simple feedback collection but not for deeper reasoning capture across panels.

잘하는 점

  • Polished, conversational UI that's easy for interviewers to fill out
  • Typeform's strong design and mobile-friendly experience
  • Simple setup for basic post-interview feedback

아쉬운 점

  • No adaptive AI-driven follow-up questions to dig into the 'why' behind a recommendation
  • No guided evidence capture (e.g., specific moments or red flags) beyond generic open text
  • No automated quality scoring or per-response evaluation of interviewer feedback

설문을 공개할 준비가 되셨나요?

이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.

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