BeSci x AI™ is Escalent’s proprietary AI-powered behavioral science insights model built for modern market research. It blends proven behavioral science frameworks, advanced AI and human expertise to explain why people act—and what it takes to nudge people toward better outcomes. By analyzing six validated dimensions of human behavior, the model classifies likelihood to effect change with 98% accuracy, helping researchers move beyond what people say to uncover the real behavior drivers shaping decisions.
BeSci x AI isn’t just another analytics tool—it blends advanced AI with behavioral science frameworks and expert judgment to confer a significant competitive advantage.
The model goes far beyond traditional two-factor approaches, analyzing six dimensions of behavior including psychological and physical capability, environmental and social opportunity, motivation and habit to reveal “the why” behind decisions with precision.
Add to that our “Human-Guided AI” philosophy, meaning Escalent advisors apply their deep industry knowledge to validate behavioral classifications and interpret results with context and consistency across questionnaires, transcripts, summaries and datasets. The result? Actionable insights and advice to understand biases and motivations, encourage (or discourage) specific actions, and design better customer experiences. You’ll see not only what drives behavior but how those drivers translate into creative strategy, advertising effectiveness, digital optimization and product decisions that inspire audiences and drive lasting change.
Most brands don’t struggle with a lack of data. They struggle to turn insight into action. BeSci x AI equips market research and insight teams to connect behavioral findings directly to tangible strategy and implementation.
By uncovering the real barriers and motivations behind decisions, BeSci x AI gives teams a clearer path forward: what to emphasize, what to remove and what to design differently.
Insights aren’t trapped in reports—instead, they guide how a message is framed, how a digital experience flows, how an advertising persuades or how a product earns adoption. Because the model scales behavioral science thinking with AI and human oversight, teams move faster without losing confidence. The result isn’t more insight—it’s fewer wrong turns and more decisions that stick.
Ask how BeSci x AI helps you move from insight to impact—faster and with confidence.
As AI agents take on more of the operational work in market research, the role of human expertise is becoming more important—not less. Learn why the future of insights depends on balancing automation with judgment, governance and methodological rigor to deliver research that is both efficient and trustworthy.
AI is no longer an emerging concept for US healthcare. It is already deeply embedded and transforming how care is delivered, how clinicians work and how patients experience the system. As market researchers, this shift is not just interesting background context. It fundamentally changes how healthcare insights are generated, what questions matter, which stakeholders influence decisions and where new opportunities emerge.
Traditional research methods are highly effective at capturing what people say and do, but they may not always reveal the underlying behavioral drivers shaping decisions. AI-powered behavioral insights add another layer of understanding by analyzing large volumes of qualitative and quantitative data through established behavioral science frameworks. AI-powered behavioral science insights model combines advanced AI with behavioral science expertise to identify motivations, barriers, habits and contextual influences that might otherwise remain hidden. This helps organizations move beyond observation to better understand why behaviors occur and how they can be influenced.
Organizations have access to more customer data than ever, but data alone rarely explains why people make decisions or what drives behavior change. Traditional analytics often capture outcomes without uncovering the psychological, social and environmental factors shaping those actions. Escalent’s AI-powered behavioral science insights model addresses this gap by combining behavioral science frameworks, advanced AI and human-guided expertise to analyze six validated dimensions of behavior, including motivation, capability, habit and opportunity. This enables organizations to move beyond surface-level analysis and uncover the real drivers, biases and barriers influencing customer decisions with 98% accuracy against expert judgment.
Many organizations generate descriptive insights but struggle to translate findings into strategies that actually influence behavior. AI-powered behavioral science insights model is designed to bridge that gap by connecting behavioral science insights directly to business action. Using AI-powered classification and expert behavioral science interpretation, the model helps organizations identify what motivates action, where friction exists and which interventions are most likely to drive change. By uncovering the behavioral barriers and triggers shaping decisions, teams can design messaging, customer experiences, digital journeys and product strategies that encourage measurable real-world outcomes rather than simply reporting observations.
AI can rapidly analyze large volumes of research data and identify behavioral patterns at scale, but human expertise remains critical for interpreting meaning, validating context and translating findings into strategic recommendations. AI-powered behavioral science insights model follows Escalent’s “Human-Guided AI” approach, where behavioral science experts apply deep industry knowledge to validate AI classifications and interpret results consistently across transcripts, surveys, reports and datasets. This combination of AI efficiency and expert human judgment helps ensure behavioral insights are accurate, contextualized and actionable, giving organizations greater confidence in the decisions they make.
Behavioral science provides proven frameworks for understanding how people make decisions, while AI enables those frameworks to be applied consistently and at scale across large datasets. AI-powered behavioral science insights model combines both disciplines to rapidly analyze research data, classify behavioral drivers and uncover patterns that may be difficult to identify through manual analysis alone. Escalent’s Human-Guided AI approach then adds expert interpretation and validation to ensure findings are accurate, contextualized and actionable. The result is deeper behavioral understanding, faster insight generation and more effective recommendations for influencing customer behavior and business outcomes.
Escalent launches a comprehensive behavioral science model powered by AI that produces better behavior change strategies faster.
