Client
MediFill, Entrepreneurial Venture (Future of Digital Health & Wellness)
Scope
January 2013 - December 2014
Role
UX/UI Design, Design Research, Prototyping, User Testing
Deliverables
End-to-end Mobile App
Keywords
Internet of Things (IoT), Cloud Computing, Machine Learning, Artificial Intelligence, Big Data
Team
Strategic Designer, UX & Visual Designer, UI Developer
OVERVIEW
Background
32 million Americans use three or more medicines daily and 75% of adults don’t take medications as prescribed. There is a $300 million economic impact due to poor medication adherence that costs the U.S. healthcare system each year.
Design Problem
Medication users and pill bottle owners do not have any manageable adherence solutions for items that are always a part of their wellbeing. Research supports that people will value products that would address their need in adhering to their treatment regimens and improve their medical conditions.
Goals
We had conducted several research methods to gather critical information from users and understand the areas that could enhance the dosage medication identification tool.
Identify the demographics of dosage medication identification tool
Determine users’ expectations when managing medication regimens
Discover current market trends and competitors key strengths and weaknesses
Discover what concerns, assumptions, needs, and wants may exist
Understand users’ experience with current pillbox capabilities
Research Questions
We formulated questions that would allow us to gain the best insights into the conducted research to support the needs of medication users and empower them in understanding their medication regimen. We needed to ensure a focus on users who were familiar with dosage medication identification tools.
Medication adherence tracking tools:
What are the capabilities of current available medication tracking tools and how do they add value to the lives of medication users?
Better understanding of adherence cycles:
How do medication users perceive their own adherence cycles and how much awareness do they have about their own regimens?
Navigating challenges around medication adherence:
What are the strategies used to prepare for challenges faced during different stages of the adherence cycle and shift users mental model?
PRIMARY RESEARCH
We identified competitors’ strengths and weaknesses through competitive analysis and current trends with market research.
Market Positioning
Market Trends & Analysis
STEEP Analysis
The following is a macro-environmental method that helped evaluate the trends, forces, and changes that may affect the operations and digital health market, as well as emerging technologies.
Stakeholder Mapping
Medication Adherence Drivers
SECONDARY RESEARCH
To answer the research questions, a survey was administered targeting a specific demographic in mind: users familiar with pillboxes, especially those who highly understood dosage medication identification tools, helped us know the answer to the above questions and understand user motivations.
A total of 5 participants, ages 45-54, were surveyed, all with a complex medication background. Boomers comprised of 75% of the main demographic, and the remaining 25% as Gen X. Participants were all experienced app users and had intermediate knowledge in managing a manual pillbox.
Observation Studies
I observed participants when practicing their medication regimens. Below are documented images of the observed tools during these interview sessions, illustrating the spectrum of physical to digital applications used in pill medication management.
User Interviews
With the intention of delivering quantified experience design, the interviews were designed to have a discussion on the relevance of existing medication adherence services available to the demographic we interviewed. Through this conversation, we uncovered their values and beliefs towards several existing offerings. Their motivations to purchase pill boxes and manage their medication regimen in their health was highlighted.
Through these interviews and observational research, we wanted to learn more about the medication users:
Awareness about one’s own adherence cycle
Methods of medication adherence tracking
Perceived value of medication adherence tracking
Impact of adherence cycles on social and professional lives
Strategies to navigate adherence
Planning daily activities around medication adherence
Interview Guide
We structured the interview discussions to gain a deeper understanding on the following:
Getting to know the medication users
Acquaintance with digital health applications
Outlook on medication adherence
Priority and attitude towards self service medication adherence
Medication Adherence Journey Map
Capturing the current medication adherence journey was the first important mapping of the existing situation. In addition, it was important to identify patient related non-adherence behaviors and plotting them on the user journey map.
Key Insights
We were able to generate insights which led to the development of the design principles.
1. Contextual and meaningful insights require regular tracking:
Patterns in the adherence cycle become evident only when there’s enough data about the cycle. Without sufficient data, insights seem irrelevant.
2. Regular tracking requires motivation:
Even if it takes less than a minute to track, most medication users don’t feel motivated to do it because the trackers fail to communicate the value of tracking. The complicated UX of most apps poses challenges in generating motivation.
3. What do I do with all this information?
Most trackers fail to convert insights into actionable tasks that can improve adherence cycles.
4. Tracking is valuable when there are irregularities in the cycle:
Medication users seek methods of sense-making when they don’t understand what’s happening in their cycles.
5. Predictions are inaccurate because behavior does not work like a clock:
Behavior is a complex system that can’t be simplified using algorithms to predict medication regimens accurately.
6. Communicating uncertainty in predictions can increase trust:
Most trackers predict the next adherence cycle as if it were true. When this doesn’t happen, it leads to lack of trust. If trackers communicated that their predictions are inaccurate by acknowledging the uncertainty it can lead to increase in trust.
7. Every medication users experience is complex and unique:
Trackers convert complex behavior into simplified statistics that don’t effectively describe the lived experiences of medication users.
DEFINE
Design Principles
The key insights led to a clear understanding of the value of medication tracking and how it can be enhanced. The value of tracking can be improved by focusing on 3 main categories:
POV Statement & HMW Questions
A problem statement, or Point of View, was created to better understand the specific users, their needs, and most essential insights about them.
“MediFill users need a way to improve the adherence process because the existing tracking tools still present certain limitations.”
By framing and opening up the POV, we were able to brainstorm HMW questions that the user might come up with. They allow for a variety of solutions and generate several possible answers. How might we…
improve the adherence process
explore better options
remove unnecessary features
make the tracking process more efficient
User Persona
After synthesizing interview data we created key user personas to help identify the target audience for the feature development and how this would add value to someone who regularly uses medication tracking tools.
IDEATE
Concept Storyboards What-If-Scenarios
Once we (1) understood the As-is experience, (2) identified how the experience can be improved for users, and (3) familiarized ourselves with strategic priorities at large, we started mapping out what a To-be experience could look like.
The goal was to use the three emerging design principles to visualize ideas that improve the medication tracking tool processes efficacy. I contributed to producing the conceptual development through a range of tracking features within the context of digital health applications, specifically self-services based on medication adherence. From coming up with 7 concepts, to storyboarding and mapping out task flows, these artifacts became the primary tools for communicating the design team’s perspective and vision for how the user experience can change for the better.
Evaluative Research
I conducted Concept Speed Dating sessions with all 7 participants, where I walked them through each concept and its corresponding lo-fi wireframe story prototype. I used a semantic differential rating scale to guide the speed dating session and understand their reactions to each concept. Through this contribution the team was able to capture qualitative feedback by noting down their comments for each concept. The differential semantic rating scale was used to understand whether the concepts were informative, made users feel supported, motivated and empowered.
Synthesis of Findings
I then conducted the Rose-Bud-Thorn design method to contribute towards synthesizing the strengths, weaknesses and opportunities of each concept through a systemic ranking. This helped identify the most successful and least successful concepts through a holistic understanding of key factors leading to their success/failure. The concept that stood out to be the most successful was Collective Medication Data Bank.
Conceptual Interaction Model
By sketching the conceptual model I contributed in structuring a hypothetical experience based on how a user might manage their medications in the digital environment through the Collective Medication Data Bank feature.
DESIGN
Information Architecture
This stage involved the creation of a logical and intuitive structure of the relevant information to facilitate intuitive access to content . When contributing in this process I understood how users think and what they expect to find on the digital health app when managing their medications. I focused on designing the content strategy, organization of data, and the creation of a navigation structure. This amounted to the development of a seamless experience for users by making it easy to find the information they need in a more efficient manner.
Flowchart
The flowchart starts with the users entry point on the dashboard and ends with the final action of adding a medication. By using this method method I evaluated the user experience through visual representations of the paths the user can take when interacting with the app.
Tree Structure
The tree structure offers a view of the trickle down-effect, I used broad categories at the top and more specific subcategories below for the user to navigate through. The resulting visual hierarchy conveys the importance of the essential pieces of information and displayed in a sequential ladder.
Task Flow
Creating a task flow was ideal for the early-stage alignment when the team was unsure how to structure a more extensive process and needed to break down task into smaller sub-processes to explore the different options. This process involved a step-oriented approach without action specific triggers.
User Flow
When preparing the user flow, it was important to keep in mind the sequence of steps that a user takes through the application to complete the tasks. This stage involved an understanding of the user’s goals and needs, in order to create an intuitive path that allowed them to complete the tasks in a efficient manner. This resulted in the creation of user flows with Personalized Reminders, Smart Filter, and Collective Medication Data Bank. In this process I understood how users interact with the product this informed the design of the interface, creating interactive elements, and testing the design with real users.
Wireframing
I contributed to drawing overviews for the interactive app to establish the structure and flow of possible design directions. My aim was to communicate the structure for a possible solution, so that the team can identify solid user experience design foundations to build on, while stakeholders can offer feedback on the visual artifact to build consensus.
TESTING
Affinity Diagram
Usability testing was performed for the mid-fidelity design to rule out any preliminary pain points that could occur during the prototyping stages. My contribution was key in testing by observing participants perform live actions. Once testing was complete, I placed results within an Affinity Diagram to determine existing pain points, frustrations, improvements, and successes.
Solutions
Users like the idea of a Collective Medication Data Bank feature that allowed them to speed up the workflow of adding their medications and track them over time.
Users found the notification alert of their data and suggestions based on emerging patterns helpful when tracking adverse reactions.
Behaviors
Users wanted to know how to connect with other medication users if they shared a similar experience to improve connectivity with an exchange of stories and opinions.
Pain Points
Text inside the notification pop-ups were too small and difficult to read.
Successes
Enlarge notification text and pop-ups window size for better legibility.
ITERATION
Revisions
Necessary changes were made to the prototype so the user could better utilize and understand the medication tracking tool. Refinements included additions to tasks based on participants’ feedback. Allowing the user to add; customizable medication condition category with a log of their data and subsequent suggestions based on emerging patterns to improve the Collective Medication Data Bank.
Defining Features
Mid-Fidelity Design
An emphasis on collaboration, iterative development, and user feedback led to unique screens and key user flows to be designed in mid-fidelity renders communicating the “look and feel” of the product.
Visual Design System
When managing the development of the brand identity, I contributed in facilitating an exploration of the company’s vision, goals, audience, personality, and unique strengths to visually differentiate the start-up from competitors within the digital health sector. Resulting in a successful alignment of key stakeholders throughout creative process, which built consensus for the launch.
Brand Values
Based on quotes from our initial research, I defined brand values for the end-to-end health ecosystem, keeping in mind that the service touch points would be both physical and digital.
Prototype
I contributed to the development of the clickthrough prototype to capture the flow and overall organization of the design concept. Leading the team towards stages focusing on aligning and prioritizing decisions for our next move by focusing on the intersection of importance and feasibility. With preliminary sketches in hand, we collaborate with the development counterparts to understand how our To-be-experience aligns with the product roadmap. As a group, we use a prioritization grid to understand what parts of the proposed experience have both high user value and technical feasibility. This helped to clarify what we can commit to for a given release.
High-Fidelity Design
The user interface developer built interactive components of digital product MediFill mobile app. This included creating buttons, menus, and forms to ensure the product has a seamless user experience. UI developer referenced aforementioned design principles with a clear understanding of human psychology behind key personas and the consumer research for trends of how medication users use technology.
LAUNCH
Reflections
Throughout the course of this project research and design-thinking techniques informed and guided product design, including proactive outreach to end users, collaboration, and the creation of processes to keep the focus on user-centered design. I use the framework below when I want to change any component to avoid self-referential design. In this case “user centered” principle was the strongest evidence to make a proposal. When going through testing, I paid attention to users behavior at component level, collecting those small unhappy moments and shared it with my team. However, in the case that there is a lack of user data, I would use the combination of principles: “improving efficiency” and “matching industrial trend/guideline.”
Is it user-centered?
How the old component brings bad experience
Where and when users are struggling with the old design?
Why are they struggling?
Is there any other alternates to improve users experience without change kit?
Opportunities
Throughout the exploratory phase my aim was to gain a deeper understanding of the current state of medication adherence tools and identify their shortcomings by understanding the needs of medication users. The problems with current tracking tools that were identified led me to think that tracking can be improved by offering effective data visualizations to help users better identify potential adverse patterns. Discovering the different possibilities proved very interesting and enlightening since I had to interview and retrieve information from users with complex conditions that helped target what areas needed more attention. I realized that the root cause of poor data visualizations was the lack of data itself and in order to provide relevant information to users of medication adherence tracker applications, it is necessary to have sufficient data.
This aspect of the tracking features holds potential for further development driving the Collective Medication Data Bank, innovating in it’s approach to crowd source medication data with a management tool by leveraging the Internet of Things, deep learning, and artificial intelligence capabilities. Ultimately, enabling faster insights and delivering comprehensive view of a personas data to improve their adherence. The motive would be to advance research in efforts to debunk primary failings, including wrongly assessing drug interactions of medications and predicting inaccurate medication regimen.
Key Learnings
Greater understanding of how to apply data-driven technology suggestions and effectively contribute to discussions as part of a larger team within a research environment.
Interest in working on data-driven products and experiences deepening my passion in addressing challenging problems that people face with simple and delightful experiences.
Gathered product requirements and collaborated with stakeholders to understand user stories as well as business objectives for design.
Created wireframes, designs, and prototypes using InVision to address user needs.
Conducted usability testing to understand an end user's ability to work through a flow and iterate based on feedback in order to provide the most intuitive experience.