Our web-based experimentation platform is designed to facilitate continuous collection of individuals' dietary self-tracking and self-reporting data through integration with an existing dietary self-monitoring technology ecosystem. Moreover, the platform also provides a built-in module to facilitate randomized controlled experiments to evaluate the efficacy of behavioral interventions. Through the platform, experimentation team can utilize existing features to readily set up a research study and collect participants' self-tracking and self-reporting data without any coding required.
Our platform is specifically designed to help experimenters conduct a randomized controlled trial of dietary behavior monitoring and intervention.
Potential markets of the platform include research in nutritional science, public health, and related areas.
By providing data collection infrastructure, research study management, and integration with existing technology ecosystems, researchers looking to conduct such a longitudinal behavioral study can focus their resources and efforts in designing the study, and simply make use of the features provided by the platform to conduct the study. In addition, study participants who may already familiar with existing food logging tools can continue to use their favorite apps while participating in the study, eliminating the need to switch to a different app, thus providing a positive user experience.