Evaluator Agent

Candidate Experience Survey Template

Nobody completes your candidate surveys. Traditional post-interview surveys generate shallow responses that don't help improve your hiring process. This AI survey engages candidates in meaningful dialogue to surface actionable insights about interviewer performance, process clarity, and candidate sentiment that inform your talent acquisition strategy.

90% completion rates
Actionable feedback
Better hiring insights
Used 871+ times
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What's inside this template

Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.

Questions it always asks

The core fields every response captures.

  • Overall satisfaction with the interview process and timeline

  • Likelihood to recommend company to other candidates (NPS score)

How it adapts

Follow-ups that change based on what people say.

  • If candidate rates interview process below 3/5, ask for specific pain points

  • If candidate mentions poor communication, explore response time expectations

Where it routes people

Different paths for different answers.

  • Route negative feedback (score <3) to hiring manager and recruiter

  • Route high scores (4-5) with referral interest to recruitment team

Automations it can trigger

Actions that fire the moment a response comes in.

  • Update candidate record in ATS with experience score and feedback summary

  • Send alerts to hiring managers for interviews rated below threshold

  • Create follow-up tasks in CRM for candidates interested in future roles

SOC 2 Type II and ISO 27001:2022 certified. Responses are encrypted in transit and at rest, and you own your data. View our Trust Center.

How this AI template works

The AI initiates conversation about the candidate's overall experience, then explores specific touchpoints like application process, interview quality, and communication timeliness. It adapts follow-up questions based on responses to gather detailed feedback about what worked well and what needs improvement.

Getting started

  1. 1

    Configure survey timing to send 24-48 hours post-final interview

  2. 2

    Set up routing rules based on interview outcome and feedback scores

  3. 3

    Connect integrations to your ATS and hiring team communication tools

  4. 4

    Launch with recent candidates to gather baseline experience data

Template Details

Agent Type
Evaluator
Industries
SaaS / TechProfessional Services
Roles
Operations
Integrations
Email, Slack, Webhook
Times Used
871+

Forms collect fields. Conversations capture context.

Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.

The static form

yoursite.com/intake
Category *
Select...
Details
Describe your situation...
Submit
Result:Category: "Other"|Details: "It's complicated"

No context. No follow-up. No next step.

  • Traditional candidate experience surveys get 15-20% completion rates because rejected candidates won't spend time rating your hiring process on boring scales. HR teams make recruitment decisions based on feedback from only the most satisfied or extremely frustrated candidates.
  • Static rating questions tell you candidates scored your communication a 3 out of 5 but not whether the problem was slow recruiter response times, unclear next steps, or radio silence after final interviews. You know something's broken but not what to fix.
  • Candidates who withdrew from your process rarely complete standard surveys, yet they experienced enough pain points to quit mid-way. You lose the most valuable feedback about what drives top talent away from your company.

The AI conversation

"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"

Extracted & structured automatically

Category

High-priority

Urgency

Deadline: 2 weeks

Sentiment

Frustrated but hopeful

Next step

Route to senior team

Triggered: Slack alert sent| CRM updated

Right team. Full context. Instant action.

  • AI conversations adapt to each candidate's experience, asking follow-up questions about specific recruiters, interview formats, or communication delays they mention. HR gets detailed stories about exactly where the hiring process breaks down instead of vague ratings.
  • Conversational feedback feels like a debrief session rather than homework, encouraging candidates to share honest opinions about interviewer preparedness, scheduling chaos, or mixed messages from hiring managers. Completion rates jump to 85-90%.
  • Real-time follow-ups capture the context behind candidate decisions, revealing whether withdrawals stem from salary transparency issues, lengthy processes, or poor interviewer behavior. HR learns what actually drives talent away versus surface-level complaints.

What questions should you ask in candidate experience feedback?

Focus on specific interactions rather than overall satisfaction ratings. Ask about recruiter responsiveness, interview scheduling efficiency, and feedback quality at each stage. Include questions about job description accuracy, salary transparency, and next-step communication. The most valuable questions explore what would have improved their experience regardless of hiring outcome. Ask candidates to describe their best and worst interaction with your team. Don't forget to probe why candidates who withdrew made that decision and what could have kept them engaged in your process.

FAQ

Frequently Asked Questions

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Forms are costing you business

Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.

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