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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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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

11 questions · ~6 min
Q01
Message

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. About 5 minutes.

Q02
Multiple ChoiceRequired

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
MatrixRequired

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

5 rows × 5 columns
  • Communication skills
  • Technical or role-specific skills
  • Problem-solving approach
  • Culture and team fit
  • Motivation and interest in the role
Columns: Below expectations · Meets some expectations · Meets expectations · Exceeds expectations · Outstanding
Q04
Rating Scale

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

Range: 1 – 5
Min:Not at all confidentMax:Extremely confident
Q05
Opinion ScaleRequired

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

Scale: 1 – 10
Min:Would not recommendMax:Strongly recommend
Q06
Multiple ChoiceRequired

What is your overall hiring decision for this candidate?

  • Strong hire
  • Hire
  • No hire
  • Strong no hire
Q07
Ranking

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
Drag to rank
Q08
Long Text

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

Q09
Short Text

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

Q10
AI InterviewRequired

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
Message

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

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.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • 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.

What it does well

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

Where it falls short

  • 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.

What it does well

  • 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

Where it falls short

  • 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.

What it does well

  • 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

Where it falls short

  • 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

Ready to launch?

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