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Steps-to-Mastery Engagement Model

This visualization represents a hypothetical “steps to mastery” coaching model for a connected health product (IoT device + mobile app), including the recommended cadence and density of communication delivered to the user.

Although habit-training goals occur in sequence from the user’s perspective, performance data is captured by the device and app for all goals from day-one. This enables the user to “test-out” of a goal if they have met the lesson criteria ahead of time.

If the user falls below a goal‘s accuracy threshold, the app will provide reminders. If the user’s performance remains below the goal’s threshold for three (3) sessions, the app will schedule a refresher course.

Once all habit-training goals are complete, the app will transition to steps-to-mastery goals.

In-app and email-based support messages complement active guidance, encouraging the user to return to the app and progress through the goals.

While the following visualization is intended to be representative of a “typical” engagement scenario, the individual user’s mileage may vary. It is entirely possible for a user to complete each habit-training goal in as few as 3.5 days (7 sessions).This visualization represents a hypothetical “steps to mastery” coaching model for a connected health product (IoT device + mobile app), including the recommended cadence and density of communication delivered to the user.

 
 

 

This visualization represents the proposed daily usage cycle for the Steps-to-Mastery engagement model, and the cadence of associated communications – known colloquially as a habit loop.

This habit loop is segmented into activity sessions, and captures a typical user engagement scenario for each – including how users would interact with the app during each session.

Each trigger is treated as a potential touchpoint – that is, the app may or may not provide a trigger based upon the user’s previous behavior in the form of a reminder, a quiz, an encouragement, etc. The frequency and density of triggers will be evaluated during testing and adjusted accordingly to avoid the “nag factor” for users. Collectively, the trigger touchpoints will be crafted and coordinated to help motivate the user to undertake the most appropriate targeted action.

Trigger touchpoints that fall outside the activity sessions are most typically push notifications, as the expectation is that the user will not be interacting with the app directly during these time windows. 

The intent of these notifications is to provide a cadence of gentle encouragement to the user to return and complete the lesson or program – and even once the lesson or program is done, to encourage the user to maintain good habits. This approach taps directly into combating the “forgetting curve” through memory-strength training.

While the focus of this habit loop is on the AM and PM sessions, we wanted to honor variances in users’ daily routines beyond the typical or recommended. Hence, the inclusion of an optional lunchtime session which tracks progress in-app but does not conduct any active coaching.

Through a properly-tuned experience, we will apply the principles of Performances of Understanding – having the user put new learning immediately into practice, and asking the user to demonstrate their understanding in some measurable way – that will strengthen a user’s ability to learn and retain optimal habits, and thus encourage a long-term investment in their own health.