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The Judgment Crisis: Human Decision-Making in the Age of AI

AI did not end the data literacy crisis. It changed it. As machines move from providing information to interpreting it and recommending what to do, the scarce skill is becoming judgment: knowing what to trust, what to question, and what decisions are still ours to make.

Kevin Hanegan Sep 9, 2026

Data-Informed Decision-Making

Evidence Is Not a Verdict. The Judgment Behind Data-Informed Decisions

Evidence does not make decisions. People interpret it, weigh it, challenge it, and make judgments. A courtroom reveals what leaders can learn about evidence, expertise, confidence, and data-informed decision-making.

Kevin Hanegan Aug 26, 2026

Teen Data Academy

It Feels True. Is It?

Feeling sure doesn't mean you're right. Learn five simple ways to question what feels true, spot what might be influencing you, and make better decisions about what to believe.

Kevin Hanegan Aug 25, 2026

Data-Informed Decision-Making Self-Assessment

This self-assessment is designed to help you evaluate your current capabilities in understanding, interpreting, and applying data in everyday decision-making. Through a series of targeted questions, you’ll gain insights into your strengths and identify areas for improvement in data literacy, critical thinking, and analytical skills. Whether you're a beginner or an experienced data user, this assessment provides valuable feedback and practical recommendations to enhance your data-informed decision-making abilities.

Rate your typical approach to decision-making on a scale of 1-5 for each dimension:
1 = Rarely/Never, 2 = Sometimes, 3 = Often, 4 = Usually, 5 = Almost Always/Always

Input Management

Question	1	2	3	4	5
I actively seek out diverse data sources	1	2	3	4	5
I look for contradictory evidence	1	2	3	4	5
I identify gaps in my information	1	2	3	4	5
I question the quality of my data sources	1	2	3	4	5
I document where my information comes from	1	2	3	4	5

Perception Awareness

Question	1	2	3	4	5
I recognize my emotional reactions to data	1	2	3	4	5
I take time to examine my initial assumptions	1	2	3	4	5
I consider different ways of looking at the data	1	2	3	4	5
I acknowledge my personal biases	1	2	3	4	5
I separate facts from interpretations	1	2	3	4	5

Interpretation Quality

Question	1	2	3	4	5
I consider multiple possible explanations	1	2	3	4	5
I examine my cultural and professional biases	1	2	3	4	5
I break down complex information systematically	1	2	3	4	5
I seek input from others with different perspectives	1	2	3	4	5
I document my reasoning process	1	2	3	4	5

Experience and Belief Awareness

Question	1	2	3	4	5
I recognize how past experiences influence my decisions	1	2	3	4	5
I challenge my established beliefs	1	2	3	4	5
I remain open to new approaches	1	2	3	4	5
I seek perspectives different from my own	1	2	3	4	5
I acknowledge my professional blind spots	1	2	3	4	5

Evaluation Thoroughness

Question	1	2	3	4	5
I consider both short and long-term implications	1	2	3	4	5
I assess risks systematically	1	2	3	4	5
I think about impacts on various stakeholders	1	2	3	4	5
I examine ethical implications	1	2	3	4	5
I compare multiple options objectively	1	2	3	4	5

Output Quality

Question	1	2	3	4	5
I can clearly explain my decision-making process	1	2	3	4	5
I document key decision points	1	2	3	4	5
I establish clear success metrics	1	2	3	4	5
I plan for review and adjustment	1	2	3	4	5
I remain open to revising decisions based on new information	1	2	3	4	5