Science Behind IRIS

Created by IRIS Client Success, Modified on Sat, 11 Apr at 5:59 PM by IRIS Client Success

IRIS is built on a well-established behavioral science foundation and is designed to make patterns of how people are showing up—and how they want to grow—visible, meaningful, and measurable.


At its core, IRIS builds on the Adjective Check List, developed by Harrison Gough—a widely studied behavioral instrument used across research, leadership development, and applied psychology.


Over decades, the ACL has been extensively referenced in peer-reviewed studies spanning leadership, creativity, identity development, and behavioral change.


IRIS extends this foundation—modernizing language, expanding growth domains, and updating normative references for today’s coaching, leadership, and workforce contexts.


This is science with a soul—rigorous in structure, human in application.


Why IRIS Uses Words


Rather than rating fixed statements, IRIS uses a word-selection method.


Participants select adjectives that describe how they see themselves, allowing patterns to emerge naturally.


This approach:

  • Surfaces intuitive self-perception
  • Reduces over-analysis and “gaming the test”
  • Captures natural motivational and relational patterns
  • Preserves nuance across multiple behavioral dimensions


The original ACL adjective set was developed through theory, linguistic analysis, and empirical testing. Each word was mapped using factor analysis to form multidimensional behavioral scales.


IRIS builds on this architecture to support growth—not just description.


Real vs. Ideal: The Measurement Model


IRIS captures two perspectives:

  • Real — how someone sees themselves today
  • Ideal — how they want to show up more (or less) often
    (referred to in the experience as “Now” and “Next”)

The space between these perspectives reveals:

  • alignment
  • growth priorities
  • internal tension


This gap is not treated as a deficiency. It is treated as direction.


IRIS makes change visible—and measurable over time.


A Structured, Multidimensional Model


IRIS organizes behavioral data into integrated domains, including motivation, thinking, relating, and self-regulation.


These domains reflect established research across:

  • behavioral science
  • emotional intelligence
  • character development
  • workforce performance


Together, they provide a structured view of how individuals:

  • think
  • relate
  • act
  • adapt

Accessible Across Cognitive Styles


IRIS is perception-based, not diagnostic.


It does not classify or pathologize. Instead, it reflects how individuals experience themselves—making it accessible across a wide range of cognitive styles.


The word-based format is often more intuitive than traditional scale-based assessments and can be completed independently or with support.


IRIS has been used across diverse populations, including neurodivergent individuals in coaching, clinical, and academic contexts.


What IRIS is Designed to Do


IRIS does not label or categorize personality types.
Instead, it measures behavioral patterns that can evolve through intentional development.


IRIS doesn’t tell people who they are.
It helps them see how they’re showing up—and where they want to grow.


Ready to see IRIS in action?


Send Your First Survey


Or start with how the survey works:


→ About the IRIS Survey

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