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Hiring & Assessment

How to recognize analytical ability, evaluate real thinking, and rethink hiring in the age of AI.

For managers and educators who want to understand the thinking behind a polished answer.

Reading guide

What questions are we asking?

An attractive résumé, a clean query, and a polished answer are observations. None alone establishes analytical judgment. These essays examine the proxies used in data hiring and how AI changes what you can infer from a candidate’s output.

  • What does a take-home assignment actually measure?
  • Which hiring signals survive easy access to AI tools?
  • How do you assess the reasoning behind the output?

A suggested reading path

  1. Why Hiring Data Analysts Is Still Broken (And We Pretend It’s Not)

    Start with the gap between the hiring process and the analyst’s actual work.

  2. Stop Hiring the Resume: The Proxy-Metric Trap in Recruiting

    Identify the proxies that are being mistaken for direct evidence.

  3. AI Broke Your Hiring Signals (You Just Haven’t Noticed Yet)

    Examine what polished submissions mean when AI can help produce them.

  4. What Can We Learn from Em-Dashes?

    Pressure-test a popular shortcut: judging competence from punctuation.

  5. How ChatGPT will change home assignments?

    Read the January 2023 perspective on the shift in take-home assessments.

Try it at work

Pick one criterion in your hiring rubric. Describe the behavior it is meant to predict and ask what evidence a candidate could provide that would actually change your mind.

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