Measure what people do, not what they say.

Test decisions that already appear in conventional research: price vs. sustainability, speed vs. quality, automation vs. configurability. Observe how people actually choose—not how they say they would.

GenR&D generates digital ads and landing pages for different value propositions. Respondents navigate options rather than answer questions. This reduces observation bias while preserving analytical clarity.

Use GenR&D as part of a unified Bayesian workflow to experimentally validate priors. Reason probabilistically about hard-to-measure questions with behavioral data backing your assumptions.

High-income earners and time-constrained professionals skip panels but make real decisions online daily. GenR&D reaches audiences that surveys cannot, anywhere there is demand and attention.

Use it early to shape hypotheses before running large surveys. Use it late to validate whether stated preferences hold in practice. Run it in parallel to catch where narrative and behavior diverge.

The gap between what people say and what they do has always existed. GenR&D makes it visible. See which claims hold up and which collapse when cost or effort enters the frame.