
Based in
Milan, Italy
We use an approach to human analysis that goes deeper than conventional personality assessments. Rather than sorting people into types or measuring surface-level traits, we identify dispositional patterns that remain stable across time and context. These deeper, cleaner insights allow us to map how someone is likely to behave across different situations, relationships, and pressures.
We don't promise to see the future, because there is no single future. Human behavior branches like lightning — one starting point, multiple possible paths, one eventual outcome (very far down the road). What we do is simply map those paths before they unfold, identifying which are most probable given the specific people and contexts involved. Our clients enter every important interaction knowing the full range of what might happen and how to navigate each scenario.
This isn't faith-based. We share the reasoning behind every analysis and give clients tangible markers to recognize as events unfold. We strongly recommend that new clients undergo our Predisposition Mapping protocol before longer engagements — not because we need to prove ourselves, but because experiencing the depth of analysis firsthand is the fastest way to understand what becomes possible.
Everyone in this industry sells predictability. Personality tests promise to tell you who someone is or how they will perform in your company. Behavioral analysis claims to detect deception and hidden intentions. The market is worth billions.
The problem is that none of this was proven to work.
Personality assessments like Myers-Briggs show that up to 76% of people receive different results when retesting after just five weeks. The correlation between these tests and actual job performance sits around 0.10 to 0.20 — meaning they explain roughly 1-4% of what makes someone successful. The publishers themselves state these tools should not be used for recruitment or prediction.
Behavioral analysis fares no better. Decades of research confirm that humans detect lies at about 54% accuracy. Chance is 50%. Professionals perform no better than untrained observers — they're simply more confident while being equally wrong. The TSA spent $900 million on a behavioral detection program. Government review found it performed at chance level. Not a single threat was identified.
The attempt to collapse a complex system into a single predicted outcome isn't merely inaccurate — it contradicts how complex systems actually function. The more precisely you try to predict a specific behavior, the more you must ignore the multiple pathways through which that person might act.
Should we give up on understanding people? No. The science points toward a different solution entirely.
A 2015 landmark study by Finn and colleagues demonstrated that individuals can be identified from their brain connectivity patterns with 98-99% accuracy. These patterns function like fingerprints — unique to each person and stable over time. The implication is profound: at a fundamental level, each person is wired differently, and that wiring can be read with extraordinary precision.
It would have to work on a spectrum rather than forcing people into categories
Taxometric research confirms that psychological differences exist on continuous dimensions, not discrete types (Haslam et al., 2020; Arnau et al., 2003)
It would need to embrace uniqueness rather than averaging it away
Brain connectivity studies demonstrate that individuals can be identified with 98-99% accuracy from patterns that remain stable over years (Finn et al., 2015; Horien et al., 2019)
It would map multiple possible outcomes rather than collapsing everything into one prediction
The attempt to specify a single behavioral outcome contradicts how complex systems function and ignores the multiple pathways through which any individual might act
It would account for how the same person behaves differently across contexts and relationships
Within-person variability represents 80% of total behavioral variance, meaning the typical individual regularly manifests nearly all levels of all traits depending on situation (Fleeson, 2001)
And it would triangulate across multiple data sources — verbal content, non-verbal signals, contextual behavior
Because rapport-based multi-channel approaches yield 34% more accurate information than single-source methods (Köhnken et al., 1999), and no single channel tells the complete story
These are exactly the characteristics of our dispositional traits.
After a century of psychology trying to fit people into boxes that don't hold, we have identified what sits beneath personality itself. We call them predispositions — deeper traits that remain stable across time and context, that explain how a person fundamentally approaches the world, people, and situations. They can be described, defined, mapped, and we can teach others how to use them. We've been doing exactly this for years.
Rather than asking "what type is this person?" we ask "what are the stable orientations that shape how this specific individual will navigate different situations?" The output isn't a label or a category. It's a 30-page document — a complete book of who someone is, written in black and white. Which scenarios bring out their best. Which trigger risk. How they'll interact with specific people in your world. What happens when pressure enters the equation.
Every single client who experienced it once has come back for more.
We regularly use this intelligence to craft scenarios, prepare for negotiations, anticipate reactions, protect against betrayal before it forms and we can teach others to apply these insights once extracted, as well as how to gather independently some of them.
Today, only one person can identify predispositions with complete clarity: Dr. Federico Ferrari. This is a matter of natural talent meeting decades of deliberate training. Just as birds instinctively learn to fly, Federico's mind combines the cues arriving from people — verbal, non-verbal, contextual — into these deeper traits. He spent his career putting names to patterns he recognized long before he could explain them, training in communication sciences, pedagogy, psychology, and behavioral analysis to build the vocabulary for what he already perceived.
The stability is demonstrable. When Federico analyzes the same person years apart, with no memory of the previous assessment, he returns precisely the same verdict. The predispositions don't shift because they sit beneath the surface fluctuations that personality tests mistake for signal.
Think of it as early humans and fire. They could reliably produce it, control it, use it to transform their world — all without understanding combustion chemistry. The absence of complete theoretical explanation didn't make fire less real or less useful. Practical mastery preceded formal articulation.
We don't pretend the extraction process is fully mapped science. We're attempting to decipher the most complex system on Earth — the human mind — navigating an infinite landscape of possible futures. Complete formalization will likely require conceptual frameworks and computational capabilities that don't yet exist, possibly drawing from quantum approaches that can hold multiple states, scenarios, and variables simultaneously rather than collapsing them into false certainties.
What we can state clearly: the method produces stable, actionable, consistently validated results. Our clients don't need to understand the underlying mechanism any more than early humans needed chemistry to benefit from fire. They need to know it works — and we demonstrate that through direct experience rather than asking for belief.
Pittenger, D.J. (2005). Cautionary comments regarding the Myers-Briggs Type Indicator. Consulting Psychology Journal: Practice and Research, 57(3), 210-221.
National Academy of Sciences (1991). In the Mind's Eye: Enhancing Human Performance. National Academies Press.
Bond, C.F., & DePaulo, B.M. (2006). Accuracy of Deception Judgments. Personality and Social Psychology Review, 10(3), 214-234.
Government Accountability Office (2013). TSA Should Limit Future Funding for Behavior Detection Activities. GAO-14-159.
Finn, E.S., Shen, X., Scheinost, D., Rosenberg, M.D., Huang, J., Chun, M.M., Papademetris, X., & Constable, R.T. (2015). Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nature Neuroscience, 18(11), 1664-1671.
Horien, C., Shen, X., Scheinost, D., & Constable, R.T. (2019). The individual functional connectome is unique and stable over months to years. NeuroImage, 189, 676-687.
Haslam, N., McGrath, M.J., Viechtbauer, W., & Kuppens, P. (2020). Dimensions over categories: A meta-analysis of taxometric research. Psychological Medicine, 50(9), 1418-1432.
Fleeson, W. (2001). Toward a structure- and process-integrated view of personality: Traits as density distributions of states. Journal of Personality and Social Psychology, 80(6), 1011-1027.
Roberts, B.W., Luo, J., Briley, D.A., Chow, P.I., Su, R., & Hill, P.L. (2017). A systematic review of personality trait change through intervention. Psychological Bulletin, 143(2), 117-141.
Köhnken, G., Milne, R., Memon, A., & Bull, R. (1999). The cognitive interview: A meta-analysis. Psychology, Crime and Law, 5(1-2), 3-27.

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