Playbooks and definitions for AI-assisted hiring
Practical writing for recruiters and TA leads, plus a plain-language glossary.
Recommended Reading
Writing from elsewhere in the industry that we think is worth your time. These open on the publisher's site.
We analyzed 10,000 hires: Where 6 hidden days vanish from time to hire
External research on where hiring loops actually lose time, most of it after the final interview, in scorecards and debriefs, not sourcing.
AI Bias in Hiring: 5 Strategies and Tools to Fix It (2026)
Five practical strategies for auditing and governing AI hiring tools, data design, structured assessments, model governance, human accountability, and outcome measurement.
How to Write a Good Job Description (+ 20 Examples)
A practical breakdown of what makes a job description work, with the core components and templates worth borrowing from.
Every term below describes something VEDA actually does
Scoring, adaptive questioning, integrity signals, these are the mechanics behind every candidate VEDA evaluates.
Glossary
The terms that come up in AI-assisted screening, defined without the sales gloss.
Evidence-backed scorecard
A candidate rating where each score links to the specific transcript quote or task output it was derived from.
Adaptive interview
An interview whose next question is chosen from the candidate's previous answer, rather than read from a fixed script.
Bulk resume processing
Screening a batch of CVs uploaded together as CSV or Zip, scored against one job description in a single pass.
Integrity monitoring
Signals collected during an interview, tab switching, voice match, continuous video, used to flag sessions for review.
Psychometric assessment
Structured measurement of behavioural traits and communication style, used alongside skills evidence rather than instead of it.
Time-to-hire
Elapsed time from a role opening to an accepted offer. The metric most affected by screening and scheduling delay.
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