InterviewGod · Candidate assessment
A confident interviewee is not a capable hire, and gut-feel decisions are the ones that fall apart in month three. InterviewGod's assessments score candidates on real skills against a consistent rubric, so your hiring decisions rest on evidence you can defend.
Skills tests, role-fit and behavioural checks, and clear scorecards — the assessment layer that turns a hiring debate into a comparison of measured results.
Banao — scores its own candidates on measured skills before a hiring decision is made.
Assessment is about replacing impression with evidence. We score the things that predict performance, consistently.
Assessments built around what the job actually requires, scored the same way for every candidate.
Structured checks that surface fit and red flags as evidence, not as a hunch a recruiter has to defend later.
Clear, side-by-side results so a hiring decision becomes a comparison of measured skill, not a debate about impressions.
The same rubric for everyone gives you decisions you can stand behind and a process candidates experience as fair.
Metrics shown dotted (··) are being finalised in our case-study metrics pack. The deployment is real; we will not publish a number before it is verified.
Banao (internal)
Banao assesses its own candidates on measured skills before a hiring decision, so the call is backed by evidence rather than interview confidence. The same assessment layer is what you run.
Volume hiring (anonymised)
For teams hiring at volume, comparable scorecards turn long decision debates into a clear comparison of measured results, speeding decisions while making them more defensible.
Banao backs its own hiring decisions with measured assessment scores, not interview impressions. We have felt the cost of a confident interviewee who could not do the work, which is why the assessment comes before the decision.
The assessment layer you run is the one our own hiring depends on — tuned to predict performance, not to reward people who interview well.
A score is evidence, not the whole truth. We will be clear about where it stops:
We validate the assessments against people you already rate.
We build assessments for one role and run them against current employees, so you see whether the scores match real performance before relying on them.
We tune the assessments and scorecards to your roles and wire results into your ATS so scores travel with the candidate.
Extend across roles, with comparable scorecards feeding faster, more defensible hiring decisions.
How is assessment different from AI interview screening?
Interview screening conducts and scores a first-round conversation. Assessment automation measures skills directly through tests and structured checks, producing comparable scorecards. Screening filters the funnel; assessment gives you the evidence behind a hiring decision. Many teams use both.
Will the assessments actually predict performance?
That is what the Pilot Sprint validates — we run the assessments against your current employees and check whether the scores line up with real performance before you rely on them. Assessments aligned to the role predict far better than generic ones, so design matters.
Does this make hiring fairer?
It makes it more consistent and defensible. Every candidate is measured against the same rubric, so decisions rest on comparable evidence rather than which interviewer they happened to get. We design assessments to measure job-relevant skill, not background.
Can we use scores alongside interviews?
Yes, and you should. A score is one input among interviews and references, not a verdict on its own. Assessment automation gives your panel evidence to weigh, speeding decisions without replacing human judgement.
Bring a role where hiring decisions keep going wrong. In 30 minutes we'll scope assessments that put evidence behind the call.
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