// The roster
Team and advisors.
43 design-filtered human studies across nine domains. Failures included. ↗︎
The operators responsible for the product and the proof.
Avi Yashchin
CEO and Co-Founder
Two Sigma alum. 2x exits to S&P 500. Guest lecturer at Wharton. Johns Hopkins CS, NYU Stern MBA.
Theadora Bulajic
CPG
Leads consumer and CPG work, translating research into decisions for brands and operators.
Executives who have built and run go-to-market at scale.
Johny Mair
Board Advisor
Co-founder and Chief Product & Strategy Officer at Ethic, the sustainable-investing platform.
Terri Hall
Board Advisor
Former Gartner Executive Partner advising chief sales and revenue officers; board director and global go-to-market advisor.
Lynn Girotto
Board Advisor
Qualtrics CMO with 25+ years building technology and consumer brands, including Vimeo, Tableau, Microsoft, and Starbucks.
Researchers who review the method behind every claim. See the method's public record
Dr. Pascal Wallisch
Scientific Advisor
NYU clinical professor spanning data science, psychology, and neural science; studies how people construct subjective reality.
Dr. Howard Moskowitz
Scientific Advisor
Harvard-trained psychophysicist and pioneer of quantitative methods for consumer preference and product design.
The researchers and engineers who run the experiments.
Rebekah Wigton, PhD
Applied Science
Neuroscientist and applied researcher focused on turning complex evidence into useful, human-centered decisions.
Mohak Sharma
Software Engineering
Builds scalable product and AI systems while studying computer science at Columbia.
Aryan Sharma
Data & ML Engineering
Builds the data, machine-learning, and software infrastructure behind causal research workflows.
Alexandra Ross
Strategy & Operations
Helps turn company strategy into operating systems, partnerships, and execution.
Tatevik Karapetyan
Research
Behavioral science researcher focused on experimental design and causal inference.
Mahdi Jafari
Software Engineering
Full-stack engineer building the product systems behind rapid, repeatable experimentation.
