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Four thousand applicants and nine interview slots

At high volume, the screen is decided by whoever reads the first hundred applications. Everyone else is filtered by proxies that correlate with background rather than ability.

The situation

A role attracts far more applicants than can be interviewed. The shortlist is produced by reading a fraction and filtering the rest on signals that are fast to evaluate and weakly related to performance.

The candidates who lose out are the ones whose application does not look like the ones that usually get through, which is the opposite of what screening is for.

Why it is hard

01

Reading capacity is the binding constraint

Not judgement, not criteria. Simply how many applications a person can read attentively.

02

Proxies creep in under time pressure

Institution, employer names and formatting become stand-ins for capability because they are quick to assess.

03

Inconsistency compounds

Different readers apply different thresholds, so the shortlist reflects reader allocation as much as candidate quality.

How we approach it

Aura Screen interviews every applicant in a role-specific conversational session by voice or text, and returns scored, structured results against the criteria set for the role.

The shortlist is then drawn from the same evidence for every candidate. Hiring managers still decide; they decide from a comparable basis.

What changes

  • Every applicant interviewed rather than a readable fraction
  • Scoring against role criteria rather than application formatting
  • Results structured identically so comparison is like for like
  • Proctored sessions with checks for suspicious activity

Next

Is this your problem too?

Bring the version of it you actually have. We will tell you what it would take, including when the answer is that it is not worth doing.