Beyond what consumers say.
Understand what drives their choices.
RTA combines implicit behavioral measurement, psychological science and custom analytics to uncover consumer perceptions — and understand how they relate to purchase intent.
Implicit research built for real business questions.
Measure more than self-reported attitudes, with designs and analysis tailored to the decision your research needs to inform.
Brand & product perceptions
Understand associations with brands, products, concepts, packaging, claims, and other research stimuli.
Implicit purchase intent
Capture underlying purchase-related responses and examine how they differ across products and consumers.
CLT & IHUT research
Integrate implicit evaluation into controlled testing and at-home product experiences.
Adults, teens & kids
Adapt task design to research audiences, including studies involving parents and younger participants.
Segment & group analysis
Investigate where groups converge, diverge, and show different patterns of implicit association.
Custom research analytics
Go beyond standard reports with purpose-built statistical models, visualizations, and business interpretation.
Behavior first. Measurement with rigor.
Our rapid-matching approach incorporates both response direction and speed, applying quality controls and data processing to create interpretable measures of implicit association.
From millisecond responses to association strength.
Practice, stimulus presentation, response collection, quality checks and scoring form an integrated research process. The methodology is informed by peer-reviewed research.
When direct ratings look alike, implicit results may reveal differences.
Explicit and implicit measures provide different lenses on consumer evaluation. RTA uses implicit testing when it can add differentiation, clarity or additional evidence to a business decision — not as a universal substitute for surveys.
From implicit associations to business decisions.
Identify assets, opportunities, risks and barriers.
Implicit Driver Maps connect measured associations with purchase intent to distinguish potentially helpful attributes from perceptions associated with weaker purchase intent. The result is a structured view of priorities for further investigation and action.
How strong is the evidence? How stable is the finding?
RTA uses complementary techniques such as Bayesian evidence and bootstrap resampling to communicate the strength and stability of findings. Where appropriate, predictive models can be evaluated with held-out data rather than relying only on in-sample fit.
A research partner, not just a testing tool.
RTA integrates behavioral-science expertise, proprietary measurement, flexible programming, advanced statistics and tailored storytelling. The objective is not simply to generate more numbers — it is to make research more informative and useful.
Mikael Molet, PhD
RTA was founded by Mikael Molet, PhD in behavioral psychology. The work combines scientific rigor, implicit measurement, advanced analytics, and decision-oriented reporting to help clients understand not only what consumers say, but what may actually drive their choices.
Research expertise in behavioral science, implicit testing, and custom analytics.
Science-led approach
Grounded in research on behavior, association and rapid responses.
Flexible implementation
Research workflows tailored to objectives, settings and audiences.
Transparent analytics
Custom models, interpretable evidence and informative visuals.
Decision-focused storytelling
Move from patterns and drivers to clear implications.
Research innovation
Ongoing analytical development, including predictive modeling.
Collaborative research
Direct specialist involvement from study design to reporting.
What might your current measures be missing?
Whether you are comparing products, exploring perceptions, or identifying purchase-related drivers, RTA can help you evaluate whether implicit testing will add value.