Increasing and Maintaining Healthy Behaviors Through Digital Interventions

Research | Behavioral Science | User Experience | Product Design

Industry

Healthcare

Year

2023-2024

Role

UX / Behavioral Product Strategist

Overview

JumpstartMD aids people in achieving weight loss and improved well-being. Through individually tailored weight loss services and wellness programs, which are medically overseen and firmly rooted in comprehensive clinical research, JumpstartMD provides access to nutritional expertise and personalized support. This approach facilitates effective weight loss, the maintenance of a healthy weight, and transformative lifestyle changes.


The Problem

Recently, JumpstartMD decided to create a digital experience for their patients. JumstartMD had 13 physical brick-and-mortar locations, with no existing mobile app. Delivering a digital experience meant more opportunities for behavioral interventions in between appointments. As the Behavioral Science / UX Lead, I was responsible for doing discovery research, product ideation, defining requirements, and design that aligned with the business scope and vision. 


The Solution 

We developed a mobile app that was designed to be a "compassionate companion", aiming to address ongoing concerns and behavioral barriers of patients. We wanted the experience to feel seamless and empathetic, checking in on the patients' health journey and providing accessible guidance along the way - bridging the gap between appointments.


The Role

I conducted user research, defined key personas, ideated features based on behavioral science, evaluated the product features, and designed the wireframes and mockups before sending off to the development team.

Goal

Weight loss itself is a difficult journey not only physically, but also mentally and emotionally. We wanted to design an app that was a "compassionate companion" that was empathetic to the user's needs, whether it was through language, interaction, or design. We want patients to think, "I feel supported on this journey and help is accessible for me."

High Level Goals

Methodology

Discovery

Stakeholder Interviews

First step was to do a behavioral diagnosis of patients through research. 

Target Behavioral Outcome: Patient feels motivated and facilitated to continue in their health journey despite setbacks and challenges.

The goal was to understand the patients' needs, challenges, and pain points. I interviewed 5 clinicians and health coaches since they work very closely with the patients themselves. It was more informative to interview the staff because they work with a lot of patients and they can assess if there are any behavioral patterns in that group. Additionally, the clinicians and health coaches are experts in their field and are well-equipped in delivering an in-person experience, so they would be a good source for extracting key information. My role would be translating that in-person experience into digital.  

Insights 

Field Studies

I also shadowed 10+ patient appointments at the in-person clinics to better understand the types of conversations and challenges patients were experiencing. By observing them in their natural settings, certain pain points and overall behavioral patterns could be revealed.

Insights 

Analysis

Behavioral Barriers of Patients

I conducted an analysis to uncover the psychological and behavioral barriers that prevent patients from consistently engaging with weight logging, meal tracking, and other digital interventions.

Through qualitative insights from clinicians, health coaches, and patients, I identified key pain points that hinder adherence. I mapped these barriers against behavioral science principles to better understand why patients disengage and how interventions can be designed to improve engagement.

My analysis uncovered several behavioral barriers that hinder patient engagement in their weight loss journey. Diet fatigue and mental inertia lead to disengagement when meals feel repetitive, making it difficult for patients to sustain meal tracking. Weight plateaus trigger demotivation due to the goal gradient effect, causing some users to abandon weight logging when progress slows. Additionally, loss aversion creates resistance to transitioning away from clinic visits, as patients fear regaining weight without structured support. Cognitive overload from meal planning can also further contribute to disengagement. Patients also perceive medication shortages and communication gaps as scarcity cues, which can reduce long-term adherence. A lack of social accountability can also weaken intrinsic motivation, as many patients rely on human interactions for reinforcement. Finally, encountering friction in administrative features like scheduling and billing can make it harder for patients to stay engaged with the app. 

Understanding these behavioral barriers informed my design interventions, ensuring that the digital experience supports motivation, reduces friction, and fosters long-term adherence. 

Studies showed that logging weight everyday reinforces motivation to stick to weight loss goals. In the context of weight loss and app design, behavioral change strategy should ideally focus on keystone behaviors first since they’re easier to adopt and builds self-efficacy.

Ideation

Brainstorming, ideating, and prioritizing

To address the identified behavioral barriers, I conducted a task analysis to break down the weight loss journey into key decision points, friction areas, and moments of disengagement. By mapping out the patient experience across digital and in-person touchpoints, I identified opportunities for behavioral interventions that could reduce cognitive load, reinforce motivation, and improve adherence. 

Using insights from behavioral science, I translated these interventions into low-fidelity wireframes and mockups, integrating habit-forming design principles, nudges, and feedback loops to promote sustained engagement. 

I also developed a behavioral journey map, outlining how digital interactions - such as weight logging prompts, progress framing, and meal planning automation - could guide patients toward consistent self-monitoring and goal reinforcement. These conceptual models informed the iterative design process, ensuring that each feature aligned with evidence-based behavior change strategies to support long-term adherence and engagement.

This image provides a high-level view of my research and behavioral analysis. Due to the proprietary nature of the work, details have been deliberately zoomed out while still illustrating the structure, methodology, and depth of the work conducted.

To bridge the gap between behavioral insights and product design, I mapped core and keystone behaviors against their behavioral barriers, psychological principles, and motivational drivers. This table outlines how patients experience friction in their weight loss journey, such as diet fatigue, goal plateaus, and mental inertia, and details evidence-based solutions to remove these barriers. 

Based on the insights from primary and secondary research, I narrowed down the design implications for addressing the behavioral barriers. By applying concepts like novelty bias, progress framing, and habit reinforcement, I designed nudges and structural interventions to sustain engagement. These design implications ensure that the digital experience actively supports behavior change, promoting long-term adherence and motivation. 

Understanding Personal Needs:

Personalization and Messaging:

Goal Setting:

Feedback and Monitoring:

Goal Commitment:

Framing and Preference:

Design: Mobile App

Based on the research and behavioral science principles, here are the justifications for the design I made:

Temporal motivation theory: The countdown to appointments leverages the idea that as a deadline approaches, motivation to act increases. This visible countdown makes the appointment feel more imminent, naturally encouraging users to prepare or engage with the app.

Goal-oriented notification: The countdown notification aligns with goal-setting theory by reminding users of upcoming actions tied to specific health goals. This gentle push toward future actions improves the likelihood of consistent engagement with health routines.


2. Last Logged Weight Element: 

Avoiding negative reinforcement: By not displaying the weight itself, the app sidesteps any potential negative reinforcement associated with seeing an “undesirable” number. This way, users can log in and engage with the app without fearing that they’ll be confronted by a metric that could trigger negative feelings. This allows users to stay mindful of their habits while protecting their mental well-being. 

Behavioral psychology tells us that negative reinforcement - frequently seeing a reminder of an unmet goal or lack of progress - can demotivate and lead to disengagement. Users might avoid opening the app if they feel bad about their progress, which undermines the goal of consistent tracking.

Zeigarnik Effect:  By showing the last logged weight, users are reminded of their recent actions, which reinforces a sense of progress. If a user hasn’t logged their weight in several days, seeing their last entry might create a small sense of accountability since people feel a psychological tension when a task is incomplete.


3. My Daily Log (progress-tracking)

Self-monitoring and feedback loops: Progress bars in the Daily Log section provide instant feedback, allowing users to see their real-time progress for water, exercise, and macros. This feedback encourages users to continue by reinforcing small achievements.

Goal chunking: Breaking down daily logs into categories (water, exercise, protein, carbs, fat) helps users tackle smaller, manageable targets rather than being overwhelmed by a single large goal. This method aligns with the chunking principle, making daily tracking feel achievable and rewarding. Additional, the UI makes it easy and visually interactive to log through a simple tap.

Design: Motivational Interviewing- Based Messages

This image provides a high-level view of my research and behavioral analysis. Due to the proprietary nature of the work, details have been deliberately zoomed out while still illustrating the structure, methodology, and depth of the work conducted.


Our content strategy involved carefully crafted MI-based messages that varied according to user progress, barriers, and individual milestones. I worked closely with a public health professor in refining these messages from an MI perspective. Each message acted as a touchpoint, encouraging users to reflect on their actions and outcomes in a non-judgmental way. For example, when users encountered weight plateaus, they received prompts like, “We noticed a pause in your progress. What might be getting in the way?” This approach encouraged users to identify their unique barriers, fostering a sense of autonomy and personal agency over their health decisions.


Motivational Interviewing principles encourage users to reflect on their progress, identify barriers, and set achievable goals. This approach aligns with self-determination theory by fostering autonomy, competence, and relatedness in users’ responses.

Impact: This MI-inspired prompt gently engages users in self-reflection, which can increase intrinsic motivation and promote ongoing engagement with the app by allowing users to voice their individual struggles and successes.


The app offers immediate feedback based on user inputs, which is a core component of habit formation. Feedback options such as “I met my goal” or “I almost met my goal, but not quite” allow users to track their progress, reinforcing positive behaviors.

Impact: By providing a structured response system, the app helps users build awareness around their choices and behaviors, reinforcing healthy habits and increasing retention. Future features will allow users to review their past responses so they can reflect on their journey and progress.


The app’s messages are triggered by specific user statuses and app interactions, such as weight plateaus or incomplete logs. They are scheduled at strategic times to nudge users. This uses temporal triggers to prompt timely action, encouraging users to re-engage with the app.

Impact: Timed triggers provide consistent and personalized reminders to users, helping establish regular engagement patterns that keep users aligned with their health goals.


The app includes prompts for setting SMART goals (Specific, Measurable, Achievable, Relevant, Time-bound), which align with goal-setting theory. This helps users form clear, actionable steps toward health optimization.

Impact: Clear, structured goals improve user engagement by making progress tangible. Users are more likely to stay committed to health objectives when they can see incremental progress, which boosts retention.


Messages are framed to support user autonomy while nudging them toward engagement, such as through encouraging responses or highlighting positive changes. When users do not log weight or encounter challenges, the app frames messages to avoid judgment and gently reinforce regular tracking.

Impact: This positive framing reduces reactance (resistance to feeling controlled) and encourages continued app use, helping users establish and maintain healthy behaviors.

Impact

We successfully rolled out and launched to all enrolled patients across 13 JumpstartMD physical clinics. Patients reported they enjoyed using the app daily and loved the experience as it catered to the core components of their health journey. Many reported that it solved the biggest burden of the health program - which was logging.

By embedding behavioral science principles into the app’s core design and messaging, we achieved user engagement and loyalty. Key design elements, such as dynamic appointment reminders, positive reinforcement in progress tracking, and habit-forming daily logs, resulted in a user experience that intuitively supports health goals and fosters consistent app interaction. 

This targeted approach yielded tangible benefits by driving higher user retention, increasing daily active usage, and deepening user loyalty - key metrics that are critical to long-term business growth.

Following the success of our initial launch, we later introduced additional features to drive even higher engagement, which led up to a 2x increase in interactions within the app.

Through our psychology-driven design, we created an engaging platform that not only empowers users but also strengthens brand affinity, setting the stage for sustainable business success and scalability in the digital health space.