The aperture blog on hiring and candidate fraud
Technical essays, ideas, and lessons from building aperture.
aperture AI answers questions about hiring and AI interviews. Press enter to ask, or just type to filter the list.
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For teams running the funnel
What actually decides who ranks first
aperture never collapses a candidate into one score. Here is how pool-relative ranking across six λ-CORE dimensions actually works, made interactive: reorder the same pool of candidates by different dimensions and watch who rises.
25 Questions that make candidates show you who they are
25 Behavioral interview questions organized by competency, with scoring guidance and a framework for building structured interviews that predict job performance.
The interview format that predicts twice as well
Structured interviews predict job performance twice as well as unstructured ones. Here is what that means, what the research says, and how to implement a structured hiring process at scale.
Every vendor says their AI is unbiased. Check anyway.
Every AI hiring vendor claims to be unbiased. Very few will tell you what they tested, what they measured, or what they would do if a disparity showed up. Here is the checklist hiring teams should run.
Your best applicants never even reach you
Resume screening was built for a world with fewer applicants and simpler roles. High growth startups need to evaluate potential, not parse formatting. Here is why the resume is the wrong starting point.
Hiring is broken. The numbers say how badly.
500 To 10,000 applications per role. 95% ATS keyword thresholds. AI generated resumes. The system that was supposed to find talent is now the reason talent gets lost.
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How the system is built
Every hiring score is wrong. Ours included.
Every screening tool scores candidates against a fixed rubric. But hiring decisions are comparative by nature. The case for λ-CORE pool-relative scoring in candidate evaluation.
Six dimensions decide every hire. Most teams score one.
λ-CORE evaluates candidates across six behavioral dimensions with confidence intervals. This post explains each dimension, what it measures, and why pool relative scoring produces better hiring decisions.
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For people taking the interviews
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What aperture ships, and why
How to connect aperture with Greenhouse
Step-by-step setup for the Greenhouse integration: authorizing as a service account, the scopes, the trigger stage, and how the rank lands back as a note and a filterable custom field.
How to connect aperture with Ashby
Step-by-step setup for the Ashby integration: the two-way credential exchange, the sync, adding aperture to an interview plan, and where the ranked result lands back in Ashby.
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