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How to score resumes by combining separate AI ratings

You will learn how to ask an AI to score specific resume categories separately. Then, you can use standard math rules to combine those scores differently for different jobs without making the AI re-read the applications.

Original by TypeSafe AIClassification

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“Composite scoring” by TypeSafe AI. Read the original source.

This expanded guide is an AI-narrated adaptation prepared by JevMade. It expands the source’s essential ideas, examples and caveats in JevMade’s own words and is not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

Our summary

When reviewing resumes, asking an AI assistant to give one overall grade hides how it made its choice. Instead, this guide shows how to have the software score specific categories one by one. This keeps the initial reading task separate from your final ranking decisions.

After the AI scores each category, standard computer rules apply a weight to each number. An engineering manager role might prioritize different traits than a senior individual contributor. You can adjust these job priorities instantly without asking the software to read the resumes all over again.

This method is useful for hiring teams who want clear, adjustable rules for ranking applicants. However, combining the numbers does not fix bad data. If the original AI ratings are unfair or miss important details, the final combined score will inherit those exact same problems.

Key takeaways

  1. Ask the AI to grade each specific category separately rather than giving one overall score.
  2. Use standard computer math to combine the ratings so human reviewers can easily check the rules.
  3. Change which categories matter most for different jobs without making the AI re-read the text.

A combined score cannot fix mistakes made during the first review. If the original AI assessments are biased or missing facts, the final ranking will inherit those same problems.

TypeSafe pattern · Source reviewed

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