Pillar 3 — Way
Your behavioural style
The way you actually move through the world — built on Gerlach's 2018 Big Five cluster discovery, extended where the data warrants.
The six Ways + White
We use six named behavioural clusters — Bold, Bright, Keen, Warm, Steady, Deep — plus a seventh outcome, White, for genuinely balanced or weak-fit profiles. Each named Way carries a colour, an associated Big Five signature, and a recognisable behavioural register.
Our commitment: nobody gets misclassified or left out. The four Gerlach clusters cover roughly 75% of the population well, but that means a quarter of takers don't fit any of the four cleanly — and forcing them into the nearest peak is exactly the kind of misclassification What-World-Way is built to avoid. Keen, Deep, and White all exist for the same reason: to make sure every taker gets a result that genuinely reflects their profile, with a "your profile sits between named clusters" outcome when that's the read the data supports.
Gerlach: Self-Centered
Gerlach: Role Model
Gerlach: Sensitive (HSP-extended)
Gerlach: Average
Gerlach: Reserved
Px addition (April 2026)
Px non-classification outcome
Gerlach 2018 — the foundation
In 2018, Martin Gerlach and colleagues published a landmark paper in Nature Human Behaviour using ~1.5 million Big Five respondents across multiple datasets to identify whether stable personalityclusters exist in the data — beyond what would be expected from random sampling of a continuous trait space.
They found four robust density peaks above the null model:
- Average: moderate on every dimension. The largest cluster — most people sit closest here.
- Reserved: low on Openness and Extraversion, high on Conscientiousness and Agreeableness, low on Neuroticism. Quietly capable.
- Role Model: high on Openness, Conscientiousness, Extraversion, Agreeableness; low on Neuroticism. The broadly-functional pattern.
- Self-Centered: low on Openness, Conscientiousness, Agreeableness; high on Extraversion. Direct, unfiltered.
Gerlach's paper is careful to position these as density peaks in a continuous trait space — not exhaustive categories. Most people sit between peaks rather than inside one strongly. Cluster-based classification is useful as a recognisable shorthand, but it has to acknowledge the cases where the peaks don't fit a respondent well.
The four Gerlach clusters map directly to four of our Ways: Average → Warm, Reserved → Steady, Role Model → Bright, Self-Centered → Bold.
Why Keen — extending Gerlach with HSP
Highly Sensitive Person (HSP) research, pioneered by Elaine Aron from the mid-1990s, identifies a distinct trait — sensory processing sensitivity — that affects roughly 15–20% of the population and runs partly orthogonal to the Big Five. Aron's HSP scale, validated across multiple replications, captures a real and stable individual difference that Big Five alone doesn't fully cover.
When HSP is layered onto Big Five, a recognisable cluster pattern emerges that wasn't separable in Gerlach's pure-Big-Five clustering: high Openness, low Extraversion, high Agreeableness, high Neuroticism, plus elevated HSP. Aron's description of HSP — "the deep feeler, the sensitive scout" — fits this pattern closely.
We add this as our fifth Way, Keen. It sits between Reserved and Role Model in pure Big Five terms and is genuinely missed by them. Adding Keen lets the framework name a real, recognised, replicated personality variant rather than collapsing it into one of the four nearest Gerlach peaks.
Why Deep — and why we name it as a calibration
Deep is a sixth Way, added in April 2026 as a founder-calibrated cluster — meaning it wasn't derived from a Gerlach-style data analysis and we name that openly.
The high-Openness, low-Extraversion, low-Conscientiousness reflective-introvert pattern is real in the Five-Factor literature. Researchers have described it variously as the "intellectual introvert," the "sage," the "thinker." It overlaps with several Big Five facet patterns (high O1-Ideas, high O5-Aesthetics, low E1-Warmth, low E3-Assertiveness, low C4-Achievement-Striving) but doesn't map cleanly onto any of Gerlach's four peaks — closest to Reserved, but with markedly higher Openness and a less Conscientiousness-driven register.
Adding Deep before launch is the cheapest time to do it. Our commitment is that any further cluster additions must be data-driven — emerging from accumulated user data showing a real density peak — but Deep is added as an explicit founder calibration to address a known structural gap, named as such, and will be revisited against user data once we have it.
One important design choice: Deep is N-agnostic. It doesn't require either high or low Neuroticism — it absorbs both calm reflective scholars and intense introspective artists under the same cluster. This is principled given that Px's four Glimpse-depth Neuroticism items are narrower (rumination/tension/worry-heavy) than the full Big Five N construct (which adds anger, vulnerability, self-consciousness, immoderation). At Glimpse depth, N is one of our least reliable trait readings, so a cluster that spans both N-low and N-high intellectual introverts is more accurate than forcing one or the other.
Why White — when no cluster fits
Even with six named clusters, some respondents' profiles don't fit any of them well. Two patterns trigger our seventh outcome, White:
- Flat profile: moderate scores on every Big Five trait, no single direction extreme enough to drive a cluster fit. Genuinely balanced, not absent.
- Weak-and-tied fit: the highest cluster fit is below 55% AND multiple clusters score within 5 points of each other. The data doesn't support a clear primary.
White isn't a placeholder for "we don't know." It's a real reading: your profile sits between named clusters rather than inside one. Some Whites are flat-profile balanced; others are multi-mode flexible. Both share the absence of a single dominant register, and both are genuinely useful classification states.
This is the kind of result Gerlach's paper actually predicts — the majority of the population sitsbetween density peaks, not inside one. We name that rather than forcing a mismatched label.
References
- Gerlach, M., Farb, B., Revelle, W., & Amaral, L. A. N. (2018). A robust data-driven approach to identify types in complex human populations. Nature Human Behaviour, 2(10), 735–742.
- Aron, E. N., & Aron, A. (1997). Sensory-processing sensitivity and its relation to introversion and emotionality. Journal of Personality and Social Psychology, 73(2), 345–368.
- Aron, E. N. (1996). The Highly Sensitive Person: How to Thrive When the World Overwhelms You. Broadway Books.
- Costa, P. T., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R) Professional Manual. Psychological Assessment Resources.
Continue exploring the methodology
Work in progress. Px is a non-profit, building in the open. If you have expertise relevant to this page — Big Five clustering, HSP research, IPIP-NEO facet work, personality typology — and want to comment, suggest revisions, or collaborate, we'd genuinely value hearing from you. Get in touch →