An overall candidate score gives you nothing to do on Monday. This is how to find the one or two things actually costing you candidates, what to change about them, and how to tell whether it worked, inside the wider candidate experience platform.
Book a free, no-obligation product demo call with our experts.
A company-wide candidate score of 7.4 gives you nothing to do on Monday. The same data cut by driver and stage usually points at one or two cells, and they are frequently the same problem wearing two names. Start there and ignore the rest of the grid this quarter. The candidate experience metrics covers what gets scored; the candidate experience journey map covers the stages.
Sample figures. Two weak cells, both at the offer stage, both about waiting. That is one fix, not two, and it is the only one worth starting this quarter.
Candidate feedback is remarkably consistent across organisations. These come up again and again, in roughly this order of frequency, and each one is on the candidate experience checklist as something to verify rather than assume. The candidate experience best practices set the bar each one has to clear.
Two jobs a dashboard does better than any workshop, and one it deliberately leaves to you.
Start by finding the specific weak point rather than trying to lift an overall score. Cut the feedback by driver and stage, take the worst one or two cells, and change one thing about them. In practice the recurring problems are narrow and well known: silence after an application, the wait after a final interview, interviewers who have not read the CV, loosely described roles, and rejections that carry nothing. Then leave the survey wording alone for a couple of quarters so you can actually tell whether the change worked. CultureMonkey shows you where the problem is and whether it moved, as part of a wider candidate experience platform.
Acknowledgement after application, in almost every case. It is the most common complaint in candidate feedback, it affects the largest number of people because most applicants never get past that stage, and it requires no change to how you interview or decide. Setting an expectation you can keep, even a vague one, removes more frustration per hour of work than anything else on the list.
A quarter to see movement, two to trust it. Candidate cohorts are small compared with employee ones, so a single month's figure moves around a lot on sample size alone. The bigger risk is impatience: teams change three things at once, see the number rise, and cannot say which one did it, which means they cannot repeat it. One change per driver per quarter is slower and far more useful.
To a point. Weak drivers surface with recommended actions against them, so a low score arrives with a specific suggestion rather than leaving you to invent one, and scores break down by recruiter and hiring manager so the result has an owner. What the platform does not do is make the decision: whether to rewrite the job description, brief the panel differently or shorten the offer window depends on your process, and choosing between those is your hiring team's judgement rather than a workflow.
Yes, and it is usually the highest-leverage group precisely because it is the largest. Almost everyone who touches your hiring process is rejected by it, so the reputation your employer brand carries is mostly built by people who did not get the job. They also apply again, and they talk to people who might. A rejection that arrives promptly and reads as though a person sent it is a low-cost change with an unusually long tail.
No. More frequent surveying of the same small population lowers response rates and makes every figure noisier, which is the opposite of what you need when deciding whether a change worked. Keep one short survey per stage, keep the wording fixed, and let the quarters do the work. The candidate experience survey page covers how the stage program is run.
Scored by driver and stage, tracked over quarters, on your own history.