Anonymized accounts of how Expert Hire was rolled out. The problem the team started with, the rounds they configured, the order they did it in, and what changed in the numbers they already tracked. No customer names, no borrowed logos, no metric we cannot point at. Where a study is light on figures, it is because we did not round anything up.
30-day free trial with 75 Hire Credits. Card required, nothing charged for 30 days.
A staffing desk and a placement cell can run identical rounds and still be solving different problems. Read the group that matches your situation. Each study carries the challenge, the solution, the week-by-week rollout and the metrics.
Both of these start from the same complaint: interview rigor moved with whoever happened to be free that week. The fix in each case was a shared rubric before a shared calendar.
A hiring team used structured rubrics, proctored interviews, and evidence-backed reportcards to compare technical candidates consistently across roles and interviewers.
Interview evidence followed the same rubric across candidates.
A talent team used Expert Hire to standardize structured interviews across multiple campuses and recruiter pods running parallel drives.
All campuses used the same evaluation framework.
Here the constraint is arithmetic. More applicants arrive each week than a recruiter can screen. The useful output is a shortlist someone else can act on without redoing the work.
An illustrative high-volume workflow: continuous BPO applicant flow screened with structured communication scoring and reviewer-ready summaries.
Recruiters read evidence summaries instead of running every screen manually.
A staffing workflow used AI interviews and resume screening to reduce manual first-round review and send clients shortlists with evidence instead of just resume summaries.
Manual resume and first-round review effort dropped sharply for high-volume roles.
Campus teams are not trying to hire anyone. They are trying to know, weeks before a drive arrives, which students are ready and which are not.
Five deployments is not a dataset. But the same four shifts show up in all of them, in the same order, and none of them are the shift people expect.
In four of the five studies the first change had nothing to do with quality. First-round capacity stopped depending on how many hours a recruiter had that week. Resume screening runs as its own round at 1 credit a scan, no interview required. AI interview rounds run 24/7 in the candidate language. The BPO team describes reviewers reading evidence summaries instead of running every screen themselves.
Resume screening as a roundThe enterprise study puts it plainly. Managers could still disagree, but they were looking at the same thing. Once every stage scores onto one rubric, a disagreement is about a specific answer in a specific transcript, not about whose interview was harder. Every score traces back to the transcript, the submitted code, the skills you weighted and the JD. The recording ships with the report.
How the rubric worksTwo of the studies name the artifact, not the automation, as the thing that changed the job. Staffing account managers stopped rewriting recruiter notes because the client submission arrived with scores, risk flags and role-fit already in one shape. Reports and insights are never metered, so nobody rations them.
What recruiters get backA rubric written for one role family copies to the next one, to a second campus, to a different client account. The multi-campus drive ran one framework across every location and compared readiness in a single view. The staffing team recalibrated thresholds per client without changing how candidates were scored.
Rounds and workflowsFor scale, here is what has run through the platform. These are platform-wide totals across every audience, not results claimed by the five teams above.
Every study above ends in the same place. The overnight work is done and the human decision is the only thing left. This is that view.
Company, people and figures shown are illustrative, not results from the studies on this page.
Awaiting your review is the important tile. It is the one number that stays a human job. Nothing on this screen rejects a candidate on its own.
Here is how ours were put together, so you can discount them by the right amount.
No customer name, campus name or logo appears here, and none will be added without written permission. Segment labels such as Enterprise, Staffing, BPO and University are the only identifying detail. Want a reference conversation instead of a page? Ask, and we will arrange one where the customer has agreed.
You will see values like Consistent, Audit-ready and Client-ready next to percentages. Those describe what changed. They are not measurements. Where a number exists, such as the readiness improvement or the throughput multiple, it is what the team reported from their own tracking.
These figures come from the customer side: their screening hours, their placement records, their attrition data. No controlled comparison, no holdout group, no audit. Treat them as directional evidence of what the workflow does, not a guarantee of your result.
In every study a person made the call. Scores, integrity signals and risk flags were surfaced to a reviewer next to the transcript and the code. A flag is never an automatic verdict and we do not auto-reject anyone, which is also why several studies describe reviewer calibration as part of the rollout.
The scoring method has its own page: what each round type measures, and how a score is built from your skills, your weightage, your JD and the transcript.
Read the methodologyEach study is one team solving one problem. The audience pages cover the whole surface: which rounds you get, what the reports contain, and how a rollout runs.
Every rollout on this page started the same way. One role family. Thresholds calibrated against candidates the team had already decided on. Then a comparison between the reports and their own notes. That is a week of work, not a quarter.
30-day free trial with 75 Hire Credits. Card required, nothing charged for 30 days.
Want to talk through a rollout for a specific team shape before you start? Talk to us