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Reading List

Jason Hreha· Updated August 20, 2025

Curated readings that bridge academic work to disciplined practice. This list prioritizes rigorous measurement, individual differences (psychometrics), and field validation over generic behavioral economics.

Psychometrics & Personality Science #

Understanding the stable traits that drive individual behavior.

  • Nettle: Personality: What Makes You the Way You Are. Why: The best accessible introduction to the Big Five and the evolutionary basis of personality traits. Essential for “Worldview Analysis.”
  • Lee & Ashton: The H Factor of Personality. Why: Introduces the HEXACO model, adding Honesty-Humility to the Big Five. Critical for understanding trust and cooperation behaviors.
  • Robins et al.: Handbook of Research Methods in Personality Psychology. Why: The definitive reference for measuring individual differences scientifically, not via pop-psych quizzes.
  • Wright: Practical Psychometrics. Why: A guide to actually building valid measurement tools (surveys, scales) rather than “cosmopolitan quiz” style assessments.

User Research & Data Analysis #

Validating problems and observing behavior in the wild.

  • Gerber & Green: Field Experiments. Why: The gold standard on causal inference. How to know if your intervention actually caused the behavior change.
  • Hubbard: How to Measure Anything. Why: Practical quantification. Teaches how to measure “intangibles” like risk, quality, and value.
  • Sauro & Lewis: Quantifying the User Experience. Why: rigorous statistical methods for user research. Moves beyond “5 users said X” to confidence intervals and benchmarks.
  • Tullis & Albert: Measuring the User Experience. Why: The handbook for collecting, analyzing, and presenting usability metrics.
  • Hall: Just Enough Research. Why: A practical guide to fitting rigorous inquiry into fast-paced product cycles without sacrificing validity.
  • Portigal: Interviewing Users. Why: The definitive guide to the “Problem Examination” phase-how to get past polite answers to uncover real compensatory behaviors.

Use these as a starting point. The goal is to build a toolkit of measurement and matching, not persuasion.