The research
behind the result.
How Pigment works, and why it works. A novel method atop four research traditions. Powered by 120 forced-choice questions. Every claim traceable.
Good careers are built on strengths. Exceptional careers are built on the abilities nobody else in the room has.
Pigment measures two things most assessments miss: what sustains a person at work, and what makes them rare. Five categories of how you're wired. Four research traditions. Two products built for different questions.
This page is for anyone who wants to verify the work: the research foundations, the methodology, an honest comparison against established tools, and what has been tested and what has not.
Why career fit keeps breaking despite better tools.
Despite massive investment in talent management and assessment technology, roughly two-thirds of workers remain disengaged globally. Burnout rates are climbing. Average job tenure is shrinking. The tools available are not fixing the problem because they are not measuring the thing that matters.
The assessment landscape is full of well-built instruments that miss the point. Each one measures something real: traits, preferences, interests, strengths. But in isolation. None measures the interaction between individual differences and work conditions that creates sustained energy versus chronic depletion. And none measures which trait configurations are statistically rare.
82 traits, organized into five domains of how you're wired.
Each category answers one question about how a person is professionally wired. How you think, how you work, how you decide, how you connect, and what drives you. All five are measured through a forced-choice format where every question has two equally valid answers. There are no right or wrong responses. There is no ideal profile. The same five power both Pigment products: the Career Self-Discovery Assessment maps how your traits combine to fit work. The Superpower Profile identifies which combinations make your contribution rare.
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How You Think
How you process information and build understanding. This category indicates differentiation in how you take in the world.
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How You Work
How you direct attention and move through projects. This category indicates differentiation in how you operate day to day.
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How You Decide
Your approach to choices and uncertainty. This category indicates differentiation in how you make decisions.
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How You Connect
How you communicate and show up on a team. This category indicates differentiation in how you relate to people.
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What Drives You
What sustains your effort and shapes your identity. This category indicates differentiation in what keeps you going. Few people are most rare here.
Novel concepts that drive Pigment
These are the principles at the core of Pigment. Read more about each.
Work stylesUnderstanding work styles
Analyst, Accelerator, Pragmatist, Harmonizer. The four ways people naturally communicate, decide, and contribute on teams.
Work typesUnderstanding work types
Not what you're good at. What you can sustain. The five types of work Pigment uses to map every role.
StrengthsUnderstanding strengths
The 46 Strengths Pigment measures. The ones you score highest on become the things you do most naturally — often invisible to you.
What the field has built so far.
Big Five
Holland / Strong
CliftonStrengths
MBTI
What makes Pigment different.
Pigment is a novel, proprietary methodology grounded in four established research traditions. It addresses two questions the field has left open: which work conditions sustain individual energy over time, and which trait configurations are statistically rare. Three methodological choices define the approach.
Energy patterns. No right answers. Career application.
The fit-energy link is real. Just not measured.
Person-job fit predicts job satisfaction at r = .56 and intent to quit at r = −.46 (Kristof-Brown et al., 2005, meta-analysis of 172 studies). The Maslach and Leiter Areas of Worklife model demonstrates burnout arises from mismatch across six domains, not individual deficit. Spreitzer's thriving-at-work research shows employees experiencing both vitality and learning demonstrate 16% better performance and 125% less burnout.
The field has two consistent gaps. No tool measures the interaction between individual differences and work conditions over time. And no tool measures which trait configurations are statistically rare. Those are the questions Pigment was built to answer.
Pigment vs. established psychometric tools
| Dimension | Pigment | MBTI | Big Five | CliftonStrengths | Holland / Strong |
|---|---|---|---|---|---|
| Primary construct | Professional operating system; rare trait co-occurrences | Type preferences | Personality traits | Talent themes | Vocational interests |
| Measurement | Continuous scales, no right answers | Dichotomous types | Continuous traits | Unipolar strengths | Interest profiles |
| Energy/sustainability | Yes (core focus) | No | No | No | No |
| Career-specific output | Alignment + recommendations | No | Descriptive only | Explicitly not for careers | Career matching |
| Evidence base | Theoretical + applied | Weak | Strong (consensus) | Mostly internal | Very strong (100 years) |
| Profile uniqueness | One unique profile per person | 16 possible types | Score-based, minimal prose | Same description per theme (34 themes) | Score-based, occupation lists |
| Blind spots included | Yes | No | Indirectly (low scores) | Yes (Full 34) | No |
| Team application | Built-in (trading card, interaction guidance) | Add-on (MBTIonline Teams) | Rare in practice | Add-on (Gallup Access) | Not designed for teams |
Built on four research traditions.
Established research, applied with more rigor than typical career tools.
Person-Environment Fit
Engagement & burnout science
Flow & optimal experience
Strengths-based psychology
Not designed to replace Big 5.
Big Five is the scientific consensus model for personality structure, replicated across cultures. Several Pigment domains map to Big Five space, but Big Five doesn't capture workplace-specific constructs like energetic rhythm, temporal orientation, or learning environment preferences.
Think of the Big Five as the periodic table of personality elements. Pigment is a framework for how those elements combine in workplace chemistry. The Career Assessment identifies which compounds are stable. The Superpower Profile identifies which ones are rare.
What the evidence shows, and what is still underway.
The theoretical foundation is strong. Each domain maps to established research with decades of empirical support. Items were derived from theory and real workplace observations. The forced-choice format reduces social desirability and acquiescence bias, following measurement best practices for workplace contexts.
Domains and outputs were refined through extensive coaching application. Consistently high self-recognition rates suggest the assessment captures meaningful patterns.
Pigment has not yet published peer-reviewed criterion studies or large-sample reliability data. This is an honest limitation. Convergent studies are in development with academic partners.
Pigment is designed for career development and alignment, not high-stakes selection. The question worth asking: is the foundation sound, is the methodology defensible, and does it provide insight existing tools don't? On those criteria, Pigment stands on solid ground.
Frequently asked questions
How does Pigment compare to a personality test like MBTI?
Pigment measures which work conditions sustain energy and which trait configurations are rare, across five categories of how you're wired: how you think, how you work, how you decide, how you connect, and what drives you. There are no types, no labels, no boxes, and no right or wrong answers. Scores are continuous, not assigned to a type.
What is the current state of Pigment's research and testing?
Every trait we measure maps to established research constructs with decades of evidence. The forced-choice methodology is well-supported in psychometric literature. Criterion data from large-sample studies has not yet been published. That work is underway with academic partners.
Does Pigment measure "learning styles"?
No. Pigment measures preferences for environmental fit — which environments and tasks help you take in and integrate information well — not the debunked matching hypothesis that says aligning teaching style to a learner's preference improves outcomes (Pashler et al., 2008). Those traits live inside How You Think and How You Work, and they're useful for choosing roles and environments, not as a prescription for how you should be taught.
How does Pigment relate to CliftonStrengths?
Pigment is designed for career alignment and measures both energy sustainability and trait rarity. Every trait is equally valid, there are no right or wrong answers, and the framework produces specific career guidance and team collaboration tools.
How does Pigment relate to the Big Five?
Several Pigment traits map into Big Five space, but Big Five doesn't capture workplace-specific patterns like which conditions sustain your energy, how you frame time when making decisions, or which environments help you take in information. The periodic table is the scientific consensus for elements, but it still takes materials science to determine which alloys work for which applications.
How do users make sense of 82 traits?
They don't encounter them. The Career Assessment produces 4 Working Styles, 5 Work Types, and detailed insights. The Superpower Profile distills the same data into rarest strengths, systems, and superpowers. The most important insights surface first.
Where Pigment fits.
Pigment is designed for career coaching, career transitions, team alignment, and professional development. The Career Assessment answers questions like: why is someone burning out in a job they're good at, and what kind of work would actually sustain them. The Superpower Profile answers questions like: what does this person bring that's genuinely hard to replace, and what makes their contribution different from everyone else with the same title.
Pigment is strongest for
- Career exploration and sustainable fit
- Team dynamics and working-style conversations
- Coaching engagements focused on alignment
- Understanding why a capable person is draining in their current role
- Identifying what makes someone's contribution rare
Pigment is not designed for
- Clinical diagnosis
- High-stakes personnel selection
- Replacing Big Five for research purposes
- Replacing Hogan for executive selection
- Mental health assessment
Pigment fills a specific gap: translating personality science and engagement research into guidance that helps people find work where they will thrive, and understand what makes their contribution rare. For those tired of tools that describe without directing, Pigment offers a rigorous framework for two questions. What kind of work lets a person thrive? And what makes them the one to do it?
Selected citations.
Brown, A. (2016). Item response models for forced-choice questionnaires: A common framework. Psychometrika, 81(1), 135–160.
Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. Harper & Row.
Edwards, J. R. (2008). Person–environment fit in organizations: An assessment of theoretical progress. Academy of Management Annals, 2(1), 167–230.
Kristof-Brown, A. L., Zimmerman, R. D., & Johnson, E. C. (2005). Consequences of individuals' fit at work. Personnel Psychology, 58(2), 281–342.
Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52, 397–422.
Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning styles: Concepts and evidence. Psychological Science in the Public Interest, 9(3), 105–119.
Peterson, C., & Seligman, M. E. P. (2004). Character Strengths and Virtues: A Handbook and Classification. Oxford University Press.
Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement. Journal of Organizational Behavior, 25(3), 293–315.
Spreitzer, G. M., Sutcliffe, K., Dutton, J., Sonenshein, S., & Grant, A. M. (2005). A socially embedded model of thriving at work. Organization Science, 16(5), 537–549.
