How To Turn Human Experience Into Numbers? (On Psychometrics)
As an engineer, I thrive on quantification. Numbers. Correlations. Models. Oh man, if life were a simulation that could be reverse-engineered? (I haven’t discarded this possibility yet, ha!)
But if you’re a human, you know it isn’t. Or at least, from our limited perspective, it doesn’t feel that way. Life is messy, confusing, unexpected. Dare to think you’ve got it figured out, and life will swiftly remind you otherwise. (I consider myself lucky when I get reminded though. It means there’s still possibility for change, for growth).
I didn’t decide to dive into psychology. It happened gradually.
Over the years I’ve studied many topics: physics, design, nutrition, music, cooking, philosophy, sports, parenting, and so on, and I kept circling back to psychology because that’s what they all had in common.
Wherever I go, I go with me.
I’ve also always had a strong impulse to help, to be of service (though I haven’t always recognized it clearly). More than once, this impulse confronted me not just with my own psychology, but with the psychology of the people I was trying to help.
I quickly realized that one-on-one wasn’t for me. On one hand, It felt too inefficient (one person at a time, repeating the same scenarios, watching similar patterns play out again and again), and on the other, I am not a psychologist, and I was unsure that objective benefit could be achieved.
And then a bug crawled somewhere inside my brain.
Could we map human experience?
One person. Then many. Find out which “variables” change between someone in state X versus someone in state Y. Learn what moves someone from A to B. Model it. Test it. Refine it. Objectivize improvement.
This notion has not let me rest, until I recently finished writing a short book that makes explicit the Happinetics Framework. (You can glimpse it [here].)
So how is it possible to transform human experience into variables and numbers?
Psychometrics.
What Psychometrics Actually Is
Psychometrics is the science of measuring psychological attributes: personality traits, emotional patterns, cognitive tendencies, relational styles.
It’s not about reducing people to numbers. It’s about finding reliable, repeatable ways to describe patterns that would otherwise remain vague or invisible.
Think of it like this: You know that some people are more anxious than others. You can feel it. But “more anxious” is imprecise. How much more? In what situations? Compared to whom? Psychometrics gives us tools to answer those questions with consistency.
The field has developed rigorous instruments: questionnaires, assessments, scales, that have been tested across thousands of people to ensure they measure what they claim to measure (validity) and produce consistent results (reliability).
When done well, psychometrics turns felt experience into structured data without losing the essence of what’s being measured.
The Models We Build On
For Happinetics, we don’t reinvent the wheel. We build on well-established, empirically validated models, specifically, models that are orthogonal.
What does orthogonal mean? In simple terms: the dimensions don’t overlap. Each factor measures something distinct. If you’re measuring height and weight, those are orthogonal; knowing someone’s height doesn’t tell you their weight. But if you measured “tallness” and “vertical length,” you’d be measuring the same thing twice. Orthogonal models avoid that redundancy.
The main models we draw from:
- The Big Five (OCEAN): The most validated model of personality traits. Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. Decades of research. Cross-cultural validation. A solid foundation.
- Young’s Schema Theory: Early Maladaptive Schemas, the deep, often unconscious patterns of meaning we develop about ourselves and others. “I’m not good enough”. “People will abandon me”. “I must be perfect to be loved”. These aren’t personality traits; they’re the stories underneath the traits.
- Attachment Theory: How we learned to relate in our earliest bonds; secure, anxious, avoidant, or disorganized. These patterns echo through every significant relationship we have.
- And others, depending on what we’re measuring and for whom.
The PRIA Functions: A Systems Lens
Beyond these established models, Happinetics adds something different: a systems-thinking architecture that organizes how these traits and patterns actually function in real life.
We call it PRIA: four core functions that any viable system must perform, again and again, to keep going:
- Perception: Taking in information — sensing what’s actually happening, inside and outside.
- Regulation: Processing and stabilizing — managing your internal state so you don’t fragment or shut down.
- Interaction: Exchanging — navigating the boundary between yourself and others.
- Action: Outputting — translating intention into behavior, making things happen.
These aren’t a linear sequence. They form a continuous feedback loop: your actions change your environment, which changes what you perceive, which changes how you regulate, which shapes how you interact, which influences your next action. Round and round.
And here’s what’s powerful: this same pattern operates at multiple levels simultaneously. Right now, one PRIA loop in you is tracking the temperature of your feet. Another is processing what you’re reading. Another might be running a background simulation of a conversation you need to have later. What we call a “state” is the net effect of all these loops operating together.
This framework (drawn from systems theory, cybernetics, and the work of thinkers like Stafford Beer, Maturana and Varela, mainly) gives us a way to connect personality traits and schemas to functional patterns. Not just “what are you like”, but “how does your system operate when under stress, in relationship, facing a decision?”
From 200 Questions to 15
In my early prototypes, users had to complete a 200+ question questionnaire. It was thorough, yes. But also exhausting. People would start strong and fade by question 80. The data was rich, but the experience was painful.
Through years of refinement (testing what actually predicts, what’s redundant, what can be inferred) we’ve been able to reduce the assessment to under 15 questions without losing granularity.
That’s part of the innovation of Happinetics: getting to the signal without drowning in noise.
Why This Matters For You
You don’t need to understand psychometrics to benefit from it. You just need to answer honestly, and let the system do what it’s designed to do: surface the patterns that are driving your experience — especially in relationships.
The Relationship Roadmap uses this approach to identify the specific dynamics at play between you and someone who matters to you. Not vague personality descriptions. Functional patterns you can actually work with.
[Try the Relationship Roadmap →]
You can’t change what you can’t see. Measurement is how we learn to see.