Candidate Experience: How to Measure and Improve It, With a Survey Template

Candidate experience is how applicants feel about your hiring process, from the job post to the final answer. You measure it with two kinds of data: process numbers, such as how fast you reply and where candidates drop out, and a short survey sent after each decision. You improve it by fixing the few moments candidates care about most: a clear job post, fast replies, a respectful interview and an answer for everyone.

Why candidate experience matters

Candidates who have a bad experience leave, and some of them were the people you wanted to hire.

• In CareerPlug's 2025 survey of job seekers, 26% said they had declined an offer in the past year because of a poor candidate experience, and 36% had declined an offer after a negative experience with people in the interview process (CareerPlug, 2025 Candidate Experience Report).
• In the same survey, 33% had stopped filling out an application because it required a one-way video interview, and 47% expected to learn the salary before they applied.
• Greenhouse surveyed 2,950 job seekers in five countries in 2026. Of the US candidates who completed an AI interview, 51% never received an outcome (Greenhouse, 2026 Candidate AI Interview Report).

How to measure candidate experience

Start with numbers you already have in your applicant tracking system or spreadsheet. Measure them per role and per stage, because one slow hiring manager can hide inside a good average.

Metric	How to calculate it	What it tells you
Application completion rate	Completed applications ÷ started applications	Whether the form is too long or asks for too much
Time to first reply	Days from application to the first personal message or decision	Whether candidates wait in silence
Drop-off by stage	Candidates who leave a stage ÷ candidates who entered it	Where the process loses people
Interview completion rate	Interviews completed ÷ interviews scheduled or sent	Whether the interview format or timing works for candidates
Closure rate	Candidates who received a final answer ÷ all candidates who applied	Whether anyone is left without an answer
Offer acceptance rate	Offers accepted ÷ offers made	The end result of the whole experience
Candidate Net Promoter Score (cNPS)	% promoters (9 to 10) − % detractors (0 to 6) on "How likely are you to recommend applying here?"	How candidates feel overall, comparable over time

Then add the survey: process data shows where candidates leave, and the survey answers explain why.

Candidate experience survey template

Send the survey after a decision, to every candidate who reached at least the first interview, including those you did not hire. Rejected candidates see parts of the process, such as the rejection itself, that hired candidates never reach. Keep it anonymous and short; six to eight questions take about two minutes.

1. How likely are you to recommend applying to [company] to a friend? (0 to 10)
2. Did the job post describe the role you interviewed for? (Yes, mostly / Partly / No)
3. At each step, did you know what would happen next and when? (1 to 5)
4. How long did the process feel? (Too long / About right / Fast)
5. Were the interviewers prepared and respectful? (1 to 5)
6. Did you get the chance to ask your own questions about the role? (Yes / No)
7. If part of the process used AI, were you told how it would be used? (Yes / No / It did not use AI)
8. What is one thing we should change? (open text)

Read the open answers every month. Look for the same complaint from several candidates, then fix that one thing first.

How to improve candidate experience

These changes follow the complaints that come up most in the research above.

1. Put the salary range in the job post. Nearly half of job seekers expect it before they apply, and it saves interviews with people who would decline the offer.
2. Shorten the application. Ask for a CV and the few answers you need to screen. Everything else can wait until a candidate is interested.
3. Reply to everyone. Set a rule: every applicant hears back within a set number of days, and every interviewed candidate gets a final answer. A short, kind rejection is better than none.
4. Tell candidates what comes next. After each step, say what the next step is and when they will hear from you.
5. Let candidates ask about the role. An interview where only one side asks questions feels like a test. Leave time for the candidate's questions, or give them a way to ask.
6. Explain how you use AI. In the Greenhouse survey, 70% of US candidates who had an AI evaluation said it was not clearly disclosed before their most recent AI interview. Say which steps use AI, what it evaluates and who makes the decision.
7. Train interviewers. A rude or unprepared interviewer is a common reason candidates turn down offers. Give interviewers the CV, the criteria and the questions before the interview.

How AI interviews help and hurt the experience

AI interviews remove the scheduling back-and-forth and let candidates start at a time that suits them. They also cause some of the worst experiences when they are badly designed.

In the Greenhouse survey, 38% of US candidates said they had withdrawn from a hiring process because it included an AI interview. Their most common reasons were pre-recorded video interviews scored by AI with no human present (33%), companies that did not explain how AI would be used (27%), AI monitoring during the process (26%) and a required AI-led interview (26%). When an AI interview went well, 38% of US candidates came away with a better impression of the employer; when it went badly, 34% came away with a worse one.

Only 19% of US candidates in the same survey wanted less AI in hiring, so most objections are about how employers use it. Tell candidates in advance, make the interview a two-way conversation, answer their questions and keep a person in charge of the decision.

How Firstview fits

The Firstview AI Interviewer runs a live voice conversation instead of recording answers to a camera. Candidates start whenever they are ready, from a phone or laptop, in their own language. The AI presents the role, answers the candidate's questions using only the facts you approve, and follows up when an answer falls short. Candidates can pause, ask for a repeat or skip a question, and after a dropped connection they have 5 minutes to rejoin. A person on your team decides who moves on.

To close the loop, you can message a whole stage by email or WhatsApp in one click, so nobody is left without an answer. Firstview does not send messages on its own; a recruiter sends each one. Firstview also does not run candidate surveys, so use your survey tool for the template above.