01
Interview Analysis
A tested starting point for interview analysis reduced repeated setup work.
We built an AI-assisted talent evaluation platform that helps recruiting teams compare interview feedback against shared competency criteria, identify unusual scoring patterns, and create clearer hiring records.
Trusted by teams building ambitious products
A hiring organization where interview standards varied significantly across regions and teams.
Coretus supported interview data workflows, competency scoring, recruiter UX, bias review, reporting, and audit history.
Give hiring teams one clearer framework for comparing interview evidence across roles and locations.
A system that turns interview feedback into structured competency signals and highlights inconsistent scoring for human review.
Interviewers across different teams and regions used different personal standards when rating the same competencies.
That made final hiring discussions slower and increased the risk that strong candidates were judged more by interviewer style than by consistent evidence.
Ratings depended heavily on individual interpretation.
Interview evidence is compared against a clearer common framework.
Potential bias was mainly addressed through periodic interviewer training.
The platform highlights unusual scoring patterns for recruiter review.
Business units used different quality bars.
Recruiting teams can compare evidence more consistently across locations.
The platform highlights interviews where scoring is unusually different from shared competency expectations.
Candidate scores stay connected to the evidence used during the interview process.
Structured evidence reduces the time hiring committees spend reconciling inconsistent notes.
Tested foundations helped the team spend less time on setup and more time on the parts that made this product useful.
A tested starting point for interview analysis reduced repeated setup work.
Reusable work for consistency guardrails let the team focus more time on the client’s specific needs.
This made it easier to add talent monitoring without rebuilding common foundations.
A tested starting point for hiring analytics reduced repeated setup work.
A straightforward before-and-after view of what changed for the team and their customers.
Shared competency criteria reduced extreme differences between interviewers.
Structured interview evidence reduced the time required for final review and alignment.
Hiring teams can review the evidence behind past scoring and decisions more easily.
Coretus didn't just build a tool, they built a global talent standard . We removed the gut-feeling bias that was costing us millions and finally have a consistent way to measure quality across 40 countries.