Automate Candidate Experience Surveys and NPS Follow-Up
Most companies only ask hired candidates how the process went, which means the feedback loop is missing the people most likely to have had a genuinely bad experience — those rejected after multiple rounds, those who withdrew mid-process, and those who never heard back at all. That selection bias produces artificially high satisfaction scores that miss real problems, and even when a rejected candidate does leave harsh feedback somewhere, it usually surfaces publicly on Glassdoor or Indeed before anyone internally sees it and can respond or fix the underlying issue.
STARTING PRICE
From €99
Starter tier · Single-workflow automation, one core integration, fast turnaround.
Get a quote →Saves roughly 2-3 hrs/week for recruiting ops tracking candidate experience.
How the automation works
We survey candidates at every pipeline exit point — hired, rejected, withdrawn, or simply gone silent past a certain stage — not just the hires, so the feedback picture isn't skewed toward people who had a good outcome. Responses are scored and any response indicating a serious process failure, like a promised follow-up that never happened or a discriminatory comment from an interviewer, routes for same-day internal follow-up rather than sitting in a quarterly report. Aggregate NPS and satisfaction trends are tracked by pipeline stage and recruiter, surfacing where in the process candidate experience actually breaks down, and response data stays properly anonymized when shared broadly so individual candidates can't be identified from a small sample.
Process flow
- 01
Candidate exits pipeline at any stage trigger
A survey triggers whenever a candidate exits the pipeline — hired, rejected, withdrawn, or stalled past a defined inactivity threshold — not only on a hire.
- 02
Send stage-appropriate survey output
The survey questions adjust to how far the candidate got, asking more detailed process questions of someone who completed multiple interview rounds than someone rejected at the resume stage.
- 03
Score and screen responses ai
Responses are scored for sentiment and screened for language indicating a serious process failure or a concerning interviewer conduct issue.
- 04
Escalate urgent responses same-day output
A response flagging something serious routes for same-day internal follow-up, rather than waiting to be noticed in a periodic report.
- 05
Track trends by stage and recruiter ai
Aggregate NPS and satisfaction scores are tracked by pipeline stage and recruiter over time, surfacing exactly where the process is breaking down for candidates.
- 06
Anonymize before broad distribution integration
Reports shared beyond the immediate recruiting team are checked for sample size and stripped of details that could re-identify an individual respondent.
Inputs
- Candidate pipeline exit events and stage reached
- Survey question sets by exit type
- Response sentiment and escalation thresholds
- Recruiter and stage attribution data
Outputs
- Stage-triggered candidate survey responses
- Same-day escalation log for urgent feedback
- NPS and satisfaction trend report by stage and recruiter
- Anonymized aggregate report for broad distribution
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Surveying only hired candidates produces a systematically skewed picture, since the people most likely to report a bad experience — those rejected late in the process or left waiting without a response — are exactly the group being excluded; the survey needs to trigger on every real exit point, not just the positive-outcome one.
- A negative response describing something serious, like a candidate reporting inappropriate interviewer conduct, sitting in a queue until a quarterly report gets reviewed is a real risk exposure, not just a missed feedback opportunity — that category of response needs same-day routing to someone who can act, not batch processing.
- Aggregate reports shared broadly without checking sample size can effectively re-identify an individual respondent — a report showing 'the one candidate who interviewed with Team X last month said Y' isn't actually anonymous even without a name attached, and distribution needs a minimum sample-size gate.
- Sending a detailed, multi-question survey to a candidate rejected at the very first resume-screen stage, who has almost nothing to report on the actual interview process, produces a low response rate and trains candidates to ignore future surveys — question depth needs to match how far the candidate actually got.
Frequently asked questions
Does this only survey candidates who got hired?
No — surveys trigger at every real pipeline exit point, including rejection, withdrawal and going silent past a stage, since limiting surveys to hires produces a skewed, overly positive picture.
What happens if a candidate reports something serious, like inappropriate interviewer behavior?
Responses are screened for language indicating a serious issue and route for same-day internal follow-up, rather than waiting to be noticed in a periodic aggregate report.
How is candidate anonymity protected in shared reports?
Reports distributed beyond the immediate recruiting team are checked against a minimum sample size and stripped of details that could re-identify an individual respondent, since a small enough sample isn't actually anonymous.
Does every candidate get the same survey regardless of how far they got in the process?
No, question depth adjusts to the stage reached — a candidate rejected at resume screen gets a short, relevant survey rather than detailed interview-process questions they have no basis to answer.