Getting people to take healthy actions is an age-old problem.
Solving it starts by understanding how people really work.
The old-school approach is to tell people what they should do and hope it works — It doesn’t. Similarly, one-size-fits-all or even segment-specific efforts via email, SMS, calls, mailings don’t move the needle much. A sliver of the targeted population responds, while the vast majority move toward Amazon, Facebook, and other more magnetic personalized user experiences that are shaping how we engage in all areas of life — including our health.
We have to acknowledge the truth
— people are complex.
Behavioral scientists have a clear understanding of this reality. Shared, unique, and behavior-specific factors drive our decisions and actions.
All block or facilitate what we do or don’t do. There is no one-size-fits-all approach to getting us to behave a certain way. To get people to behave healthily, we have to solve for dynamic, person-specific and population-specific needs, preferences, barriers, and benefits to action. It’s more than personalization. It’s hyper-personalization.
Traditional Segmentation vs
Most engagement algorithms operate in a vacuum without behavioral science expertise. Like a human’s brain without behavioral science-backed principles, algorithms are biased; and the more biases at play, the harder it is to learn what works for whom and deliver what’s optimal.
Lirio incorporates the elements behavioral scientists know determine behavior and get people to move in a certain way. Our behavior change programs overcome the barriers and amplify the benefits of taking a desired action.
Experts encode a variety of behavioral strategies into hundreds of content elements that can be assembled into hundreds of thousands of unique message combinations. Curated content for each behavior change program is represented in a machine-readable content library.
Machine learning algorithms quickly process data streams about people, personalize messages, process reactions, iterate, improve, and repeat this indefinitely. Lirio scales what behavioral scientists do on a one-on-one basis to elicit specific actions.
Behavioral Reinforcement Learning
Lirio uses a big picture, nuanced approach to learn the most effective way to communicate with people in a particular context. Typical machine learning algorithms require human experts to define the best solution, while Lirio’s approach autonomously explores an enormous series of options and unlocks solutions in a timeframe human experts alone could not meet.
Through ongoing interactions, our platform learns a person’s behavioral profile and optimizes communications to move them toward the desired behavior—resulting in improved engagement and outcomes.
As patients interact with Lirio messaging and engage in healthcare activities, they leave “digital breadcrumbs” that allow Lirio to track their movement and report their progress. More than mere clicks, Lirio can monitor and report individual journeys, illuminating who responded and which message or behavioral science appeal moved them to action.
As interactions generate more data, Lirio’s Behavior Change AI platform learns and optimizes each program—first for whole populations, then for specific segments and finally for individuals—matching each person to the communication most likely to move them.
Hyper-personalized communications enable hyper-focused performance metrics that connect the dots between activity and outcomes.
Employ behavior change programs at scale to improve engagement and move people to better health.
Help your employees engage with their benefit offerings and create a healthier culture.