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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.
hiring6
for teams running the funnel
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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.
jul 8, 20267 min read
tell me about a time…
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.
mar 28, 202614 min read
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.
mar 12, 202610 min read
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.
mar 1, 20269 min read
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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.
feb 22, 20269 min read
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.
jan 14, 20268 min read
engineering2
how the system is built
87± who knows
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.
may 8, 202610 min read
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.
apr 19, 202612 min read
candidates1
for people taking the interviews
