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Candidate Experience & Recruitment Process Feedback

Captures how candidates experienced your hiring process — from application through offer or rejection — covering communication, timeliness, interview quality, and fairness. An AI follow-up interview digs into the specific moment that shaped a candidate's willingness to recommend applying to your company. Built for talent acquisition teams auditing their funnel.

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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 feedback on your experience applying with us. Whether you were hired, still in process, or didn't move forward — your honest input helps us improve. About 5 minutes.

Q02
Multiple ChoiceRequired

Which stage of our hiring process did you reach?

  • Submitted an application only
  • Initial phone/recruiter screen
  • One or more interviews
  • Received an offer
  • Hired and started the role
Q03
MatrixRequired

How would you rate the following parts of your experience?

5 rows × 5 columns
  • Communication and updates from the recruiting team
  • Speed of the process from application to decision
  • Professionalism and preparedness of interviewers
  • Clarity about the role, expectations, and compensation
  • Fairness of how you felt you were evaluated
Columns: Poor · Below average · Average · Good · Excellent
Q04
Opinion ScaleRequired

How likely are you to recommend applying to this company to a friend or colleague?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q05
Multiple ChoiceRequired

What was the outcome of your application?

  • Accepted an offer
  • Declined an offer
  • Was not selected / rejected
  • Still in process
  • Withdrew my application
Q06
AI Interview

Probe the reasoning behind the respondent's recommendation score: identify the single stage or interaction (screen, specific interview, offer conversation, feedback or lack of it) that most shaped their opinion. If they scored low (0-6), dig into exactly what went wrong and whether it was about communication, speed, interviewer conduct, or the outcome itself. If they scored high (9-10), find out what specifically stood out as better than a typical hiring process. If their outcome was 'not selected,' gently ask whether they received any feedback on why and how that affected their impression.

Q07
Ranking

Rank the following in order of what would most improve the candidate experience, from most to least impactful.

  1. Faster responses between stages
  2. Clearer information about the role and next steps
  3. More detailed feedback after interviews
  4. More respectful and flexible scheduling
  5. Greater transparency on salary range earlier in the process
  6. More realistic preview of day-to-day work
Drag to rank
Q08
Long Text

Is there anything else about your application or interview experience you'd like us to know?

Q09
Multiple Choice

Which team or department did you apply to? (Replace with your own department list before launching. Template note: tailor this to your organization's structure.)

  • Engineering / Product
  • Sales / Business Development
  • Marketing
  • Operations
  • Customer Support
  • Other
  • Prefer not to say
Q10
Multiple Choice

How many years of professional experience did you have when you applied?

  • Less than 2 years
  • 2-5 years
  • 6-10 years
  • More than 10 years
  • Prefer not to say
Q11
Message

Thank you for sharing your experience! Your feedback goes directly to our talent acquisition team and will shape improvements to how we communicate with and evaluate future candidates.

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

  • Goes beyond static ratings with an AI follow-up interview that probes the specific moment behind a candidate's recommendation score, so you learn the 'why' instead of guessing from a number.
  • Covers the full funnel in one flow — stage reached, application outcome, department applied to, and experience level — giving talent acquisition teams segmentable data, not just an average score.
  • Includes a matrix rating of distinct process stages (communication, timeliness, interview quality, fairness) plus a ranking question that forces candidates to prioritize what would most improve the process.
  • Ends with an open long-text field and a transparent closing message, so nothing candidates want to say gets missed, and every AI prompt used to probe them is disclosed rather than hidden.

SurveySparrow

Candidate Experience Survey Template

A fielding-ready, conversational-style survey template built specifically for candidate experience feedback. It's part of SurveySparrow's broader employee survey suite and follows their standard chat-like UI. It covers the topic well as a static questionnaire but is not built specifically to interrogate the reasoning behind any single score.

What it does well

  • Ready-to-use template scoped directly to candidate experience
  • Conversational survey format that may feel more approachable than a plain form
  • Backed by a full survey platform with broader distribution and reporting tools

Where it falls short

  • No adaptive AI follow-up — the same fixed questions go to every candidate regardless of their answers
  • No per-response quality scoring or automated reasoning-level report generation
  • No published methodology on how question logic or scoring works

Jotform

Candidate Feedback Survey Form Template

A customizable form-builder template for collecting candidate feedback, aimed at general HR use rather than a dedicated research/CX use case. It's easy to edit and deploy but is a static form rather than an interview-style survey. Best suited for simple, low-effort feedback collection rather than deep qualitative analysis.

What it does well

  • Highly customizable drag-and-drop form builder
  • Quick to deploy with existing Jotform account and integrations
  • Free tier available for basic form collection

Where it falls short

  • Static question set with no adaptive or AI-driven follow-up questioning
  • No voice interview option or guided screen-share tasks
  • No automated quality scoring or synthesized reporting on responses

Typeform

Candidate Feedback Survey Template

A polished, conversational one-question-at-a-time template for candidate feedback, well known for strong completion rates due to its UX. It's a fielding-ready survey template but relies on pre-set branching logic rather than true AI-driven adaptive interviewing. Good for general sentiment capture, less suited to deep root-cause analysis of a single score.

What it does well

  • Strong, well-tested conversational UX known to improve completion rates
  • Easy template customization and branding
  • Logic-jump branching for basic personalization

Where it falls short

  • No true adaptive AI interviewing — branching is rule-based, not generated in response to open-ended reasoning
  • No voice AI interview or guided task/screen-share capability
  • No automated per-response quality scoring or AI-authored summary reports

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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