Build a Screening Scorecard From the JD
Translate JD must-haves into an AI-usable screening scorecard with observable evidence cues.
You need AI to support first-pass screening for a recruiting coordinator role, but the JD is written in broad capability language. Turn each must-have into observable evidence, acceptable equivalents, and a clear no-evidence rule If the scorecard only repeats broad labels from the JD, the model will improvise its own interpretation and weightings. Step 1 List each must-have criterion from the JD in plain language. Do not start with the model. Start with the hiring logic the team has already approved. Step 2 For each criterion, define what evidence would count, what adjacent evidence could count, and what would count…
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