GoodLife

GoodLife Media™ is a precision communications solution made possible through whole-person data and gameplay conceived and incubated by McM. In the health space, it is effectively used for a differentiated strategy for acquisition, patient engagement, and gap closure.

A System View of GoodLife Media™

The four-part program provides an exciting solution for the prevention of a myriad of common conditions and health promotion of individuals from all walks of life. The technology is system agnostic (smartphones, computers, laptops) and accessible through the web, free to users, and designed for maximum accessibility including visually and hearing impaired audiences.

Part 1: Gamifying data collection 

Part 1 is comprised of a time-tested and device-agnostic card sorting game aimed at collecting individuals’ behavior, lifestyle, and motivation. This activity has been introduced to large audiences of various ages, ethnic backgrounds, and profiles, and has enjoyed strong completion rates as high as 86.5%.

McM can update card values to collect a myriad of data sets, including psychological drivers, preferences, attitude formation, decision making, and more, leading to actionable business decisions. 

The "why" behind this activity points to theories of intrinsic motivation, which is central to one's engagement and maintenance of health. Tapping into users' Gifts, Passions, Values, Impact, and Possibilities is proven to be an effective way to reach into each individual's source of energy and motivation to pursue their best self. Honoring each patient's individuality and reminding them of makes them unique ensures greater adherence and engagement throughout the initiative.

 Additionally, the card sorting dataset enables deeper stratification of populations based on their attributes which is essential to acquiring cohort-specific insights. 

Part 2: Combining Datasets

Once the data from part 1 is collected, additional datasets—such as social determinants of health (SDOH)—are blended to generate deeper insights. Through this step, we achieve the whole-person dataset, which becomes the foundation for greater resonance and relevance in our communications. Machine learning algorithms are applied to this dataset in order to perceive patterns of behavior and increase stratification opportunities across the entire population. 

Part 3: Persona Creation

We’re now ready to stratify individuals into very discrete groups—and that’s the baseline for precision communications. This step addresses common failures of other programs with populations reporting lack of relevance in messaging; and addresses a broad range of psychosocial (ie depression), structural (ie transport) clinic-based (ie no access, waiting times etc), and other barriers (ie stigma and others, alone or in combination) most programs are blind to.

Communication Schema

Developed Personas to drive the way we communicate with members using Machine learning. Personas help set the tone, which can be further tailored to specific segments based on conditions and gaps. The message and CTAs can be even further personalized considering SDOH or other obstacles that may be preventing gap closure. 

Realizing An Experience of One

Whole-person data and communication branching systems create powerful forces that can reshape and disrupt industries. In healthcare, they have the potential to deliver a personalized and integrated experience to consumers, facilitate the closure of gaps in care, enhance provider productivity, engage formal and informal caregivers, and improve outcomes and affordability.

Health Content Library

GoodLife Media's Health Content Library contains a series of sequential communications designed to educate people around basic principles of health management and is proven to empower individuals and produce positive behavior change.

Language and Culture

We subscribe to the notion of “transcreation” (a combination of translation and creation) as opposed to translating content. This approach maintains the existing style, tone, intent and emotional impact of the content yet may involve a complete reimagining of the original material to ensure it successfully resonates with a different culture. 

As a final step in the transcreation process, we do expose our materials to native speakers because different cultures have quirks, idioms, wordplay, and context that have sensitivities with the potential to do huge damage to the business if they are not respected. 

In the examples above: Brazilian Portuguese, Korean and Mandarin.

Format Versatility & Innovation

At McM, we joke that no matter the industry we're doing work for our, competitor will always be Netflix. We find that innovating on formats is paramount to ensuring user engagement. Other than being highly approachable, entertaining content using fresh formats help facilitate comprehension to a greater degree than traditional education formats. It can seem more inviting because of its association with watching entertainment.

Behavioral economics 

We subscribed to the BASIC Toolkit: a set of lessons derived from the behavioral and social sciences including decision making, psychology, cognitive science, neuroscience, and group behavior designed to build better policies for better lives. More specifically, its "ABCD" framework—Attention, Belief Formation, Choice, and Determination—gives us the tools to identify behaviors, analyze biases, design strategies, test interventions, and scale them for change.

A Self-Learning Algorithm

AI, which is built into GoodLife, identifies patterns of behavior and measures the effectiveness of nudges, giving us the ability to focus on what works.