Grounded in science.
Committed to trust.
IRIS builds on a rigorous behavioral science foundation to reveal what motivates decisions and actions. Our platform is designed for responsible, secure use—so you can drive impact with confidence.
Rigor at every layer.
From established theory to validated measurement and secure operations, our framework ensures IRIS insights are accurate, actionable, and trustworthy.
ACL foundation
IRIS is grounded in the Adaptive Consumer Learning (ACL) model, a peer-reviewed framework that explains real behavior.
Learn more →IRIS methodology
Our proven approach translates behavioral theory into measurable constructs and AI-powered insights.
Learn more →Reliability & validity
We apply rigorous testing and validation to ensure our measures are reliable, valid, and predictive of real outcomes.
View the evidence →Trust Center
Transparency, security, and governance are built in—so your data and decisions are always protected.
Visit Trust Center →Scientific foundation
IRIS builds on the Adjective Check List, a foundational instrument cited in more than 1,000 published studies. This provides the theoretical backbone for how we measure and interpret behavioral patterns.
- Origins in the Adjective Check List (ACL)
- Norm-referenced methodology
- Academic research supporting the underlying instrument
- Cross-cultural history and validation
- Behavioral attribute construction
IRIS-specific evidence
We describe the ACL foundation and IRIS-specific validation separately—each claim is supported by the evidence that specifically applies to it.
- Reliability studies
- Validity studies
- Norming sample
- Scoring methodology
- Repeat-measurement methodology
- Survey-quality thresholds
- Job-target development methodology
- 360 methodology
Responsible AI
AI supports human judgment. It does not replace it.
What AI is used for
- •Generating accessible behavioral summaries
- •Surfacing meaningful patterns in complex data
- •Creating development questions and guidance
- •Adapting insights to roles and organizational contexts
- •Supporting team and organizational analysis
What AI is not used for
- •Making autonomous hiring or firing decisions
- •Replacing human practitioner judgment
- •Generating assessments without human review
- •Processing data outside defined governance
- •Training models on customer data without consent
Your trust is our priority.
Enterprise-grade security, privacy by design, and responsible AI governance built into every layer of IRIS.
Science, trust, and integration — answered.
Common questions about our behavioral intelligence foundation, assessment methodology, and how IRIS integrates with your existing tools.
Have questions about the science behind IRIS?
We're happy to walk you through our methodology, reliability evidence, and trust practices.