LifePattern AI
Harnessing Artificial Intelligence to Optimize Personal Health Journeys
Project Overview
Role
Duration
UX Designer
The healthcare industry faces numerous challenges, including long waiting times for consultations, high costs of appointments and treatments, and a lack of personalized medical attention. LifePattern AI is a healthcare technology platform that leverages artificial intelligence to provide healthcare journeys.
Users have reported that the process of building a healthcare journey is complicated and time-consuming, resulting in low conversion rates. Many users either do not finish setting up a healthcare journey or do not complete their healthcare journey after setting it up.
Increase conversion rates and improve customer satisfaction by simplifying the process with a more intuitive design, offering step-by-step guidance and reducing the number of steps required.
A healthcare journey is an actionable roadmap, offering users adjustable guidelines and realistic timeframes to help them accomplish a specific goals.
What is a healthcare journey?
LifePattern AI's main goal is to improve patient outcomes and experiences by creating personalized healthcare journeys using artificial intelligence. Users have reported that the process of building a healthcare journey is complicated and time-consuming, resulting in low conversion rates.
LifePattern AI's main goal is to improve patient outcomes and experiences by creating personalized healthcare journeys using artificial intelligence. Users have reported that the process of building a healthcare journey is complicated and time-consuming, resulting in low conversion rates.
Increase conversion rates and improve customer satisfaction by simplifying the process with a more intuitive design, offering step-by-step guidance and reducing the number of steps required.
Miro, Figma
Context
Role
Duration
Problem
The healthcare industry faces numerous challenges, including long waiting times for consultations, high costs of appointments and treatments, and a lack of personalized medical attention. LifePattern AI is a healthcare technology platform that leverages artificial intelligence to provide personalized and data-driven healthcare solutions.
LifePattern AI's main goal is to improve patient outcomes and experiences by creating personalized healthcare journeys using artificial intelligence. Users have reported that the process of building a healthcare journey is complicated and time-consuming, resulting in low conversion rates.
Solution
Increase conversion rates and improve customer satisfaction by simplifying the process with a more intuitive design, offering step-by-step guidance and reducing the number of steps required.
The healthcare industry faces numerous challenges, including long waiting times for consultations, high costs of appointments and treatments, and a lack of personalized medical attention. LifePattern AI is a healthcare technology platform that leverages artificial intelligence to provide healthcare journeys.
Users have reported that the process of building a healthcare journey is complicated and time-consuming, resulting in low conversion rates. Many users either do not finish setting up a healthcare journey or do not complete their healthcare journey after setting it up.
Increase conversion rates and improve customer satisfaction by simplifying the process with a more intuitive design, offering step-by-step guidance and reducing the number of steps required.
The healthcare industry faces numerous challenges, including long waiting times for consultations, high costs of appointments and treatments, and a lack of personalized medical attention. LifePattern AI is a healthcare technology platform that leverages artificial intelligence to provide healthcare journeys.
UX Designer
Users have reported that the process of building a healthcare journey is complicated and time-consuming, resulting in low conversion rates. Many users either do not finish setting up a healthcare journey or do not complete their healthcare journey after setting it up.
6 months
Figma, Miro
Tools
Context
Problem
Solution
Increase conversion rates and improve customer satisfaction by simplifying the process with a more intuitive design, offering step-by-step guidance and reducing the number of steps required.
6 months
Tools
Figma, Miro
Overview
What is a healthcare journey?
A healthcare journey is an actionable roadmap, offering users adjustable guidelines and realistic timeframes to help them accomplish a specific goals.
What is a healthcare journey?
A healthcare journey is an actionable roadmap, offering users adjustable guidelines and realistic timeframes to help them accomplish a specific goals.
LifePattern AI
LifePattern AI's main goal is to improve patient outcomes and experiences by creating personalized healthcare journeys using artificial intelligence. Users have reported that the process of building a healthcare journey is complicated and time-consuming, resulting in low conversion rates.
LifePattern AI's main goal is to improve patient outcomes and experiences by creating personalized healthcare journeys using artificial intelligence. Users have reported that the process of building a healthcare journey is complicated and time-consuming, resulting in low conversion rates.
Increase conversion rates and improve customer satisfaction by simplifying the process with a more intuitive design, offering step-by-step guidance and reducing the number of steps required.
Miro, Figma
Figma
Harnessing Artificial Intelligence to Optimize Personal Health Journeys
Realizing that our users thought our response forms were monotonous and took too much time, I discussed potential solutions with the developers and founders.
TURNING RESEARCH INSIGHTS INTO IDEATION
Exploring Potential Solutions
Potential Solution 1: Multiple-Choice Quiz
Potential Solution 2: Journey Templates
"It's hard to follow the process of creating a healthcare journey, and stages are long and confusing"
"There's a lack of personalization in creating these journeys. It feels too AI-generated and impersonal"
EMPATHIZING THROUGH RESEARCH
Interviewing Users with Chronic Conditions
I conducted discussions with four users with various chronic health conditions to grasp a comprehensive understanding of users' needs from an application that supports them in managing their progress. I learned about their practices for data input and monitoring, doctor collaboration, and personalized journey creation, along with the difficulties they encountered in building personalized patient plans.
I conducted discussions with four users with various chronic health conditions to grasp a comprehensive understanding of users' needs from an application that supports them in managing their progress. I learned about their practices for data input and monitoring, doctor collaboration, and personalized journey creation, along with the difficulties they encountered in building personalized patient plans.
"It's a hassle to fill out all the information boxes"
"It's a hassle to fill out all the information boxes"
"There's a lack of personalization in creating these journeys. It feels too AI-generated and impersonal"
"It's hard to follow the process of creating a healthcare journey, and stages are long and confusing"
TEAM WORKSHOP
Discussing Strategy and Direction
After gaining a better understanding of our users through the interviews, I worked with the developers, founders, and other team members to define the strategy and direction of the project.
Replace the lengthy response forms with a more engaging format
Simplify features and language to create a more intuitive design for users
Provide multiple check-in points for users navigating the process
Provide customization features and allow user input
After gaining a better understanding of our users through the interviews, I worked with the developers, founders, and other team members to define the strategy and direction of the project.
After gaining a better understanding of our users through the interviews, I worked with the developers, founders, and other team members to define the strategy and direction of the project.
Replace the lengthy response forms with a more engaging format
Provide multiple check-in points for users navigating the process
Provide customization features and allow user input
TEAM WORKSHOP
Discussing Strategy and Direction
Simplify features and language to create a more intuitive design for users
Replace the lengthy response forms with a more engaging format
Provide multiple check-in points for users navigating the process
Simplify features and language to create a more intuitive design for users
Provide customization features and allow user input
TURNING RESEARCH INSIGHTS INTO IDEATION
Exploring Potential Solutions
Realizing that our users thought our response forms were monotonous and took too much time, I discussed potential solutions with the developers and founders.
Potential Solution 1: Multiple-Choice Quiz
Replacing Response Forms with a Chatbot
Replacing Response Forms with a Chatbot
Eventually we opted to switch the response forms out for a chatbot. This allowed us to gather ample information from them while also making the experience more individualized and natural.
Eventually we opted to switch the response forms out for a chatbot. This allowed us to gather ample information from them while also making the experience more individualized and natural.
Before
After
Potential Solution 2: Journey Templates
Potential Solution 2: Journey Templates
Realizing that our users thought our response forms were monotonous and took too much time, I discussed potential solutions with the developers and founders.
Potential Solution 1: Multiple-Choice Quiz
Potential Solution 2: Journey Templates
Before
Before
After
Interviewing Users with Chronic Conditions
EMPATHIZING THROUGH Research
I conducted discussions with four users with various chronic health conditions to grasp a comprehensive understanding of users' needs from an application that supports them in managing their progress. I learned about their practices for data input and monitoring, doctor collaboration, and personalized journey creation, along with the difficulties they encountered in building personalized patient plans.
"It's a hassle to fill out all the information boxes"
"There's a lack of personalization in creating these journeys. It feels too AI-generated and impersonal"
"It's hard to follow the process of creating a healthcare journey, and stages are long and confusing"
After deciding to replace the onboarding short form responses with a chatbot, I met with the developers to discuss what a new user flow for healthcare practitioners and users might look like.
Replacing Response Forms with a Chatbot
Eventually we opted to switch the response forms out for a chatbot. This allowed us to gather ample information from them while also making the experience more individualized and natural.
Before
After
Replacing Response Forms with a Chabot
Realizing that our users thought our response forms were monotonous and took too much time, we opted to switch them out for a chatbot. This allowed us to gather ample information from them while also making the experience more individualized and straightforward.
After conducting research with users, we realized that they wanted more authority over their healthcare journey. To address this, we gave users the option to manually edit their milestones directly and introduced an additional feature in which they could converse milestone modifications with the chatbot.
A few users expressed concerns and hesitancy towards divulging their personal health goals and medical data to our AI tool. To address this, we opted to personify our AI assistant by naming it 'Coco', and attaching a welcoming avatar for interactions with users.
Before
After
Turning Research Insights into Ideation
Crafting a More Personalized Journey
Building Trust with AI
Replacing Response Forms with a Chabot
Realizing that our users thought our response forms were monotonous and took too much time, we opted to switch them out for a chatbot. This allowed us to gather ample information from them while also making the experience more individualized and straightforward.
After conducting research with users, we realized that they wanted more authority over their healthcare journey. To address this, we gave users the option to manually edit their milestones directly and introduced an additional feature in which they could converse milestone modifications with the chatbot.
A few users expressed concerns and hesitancy towards divulging their personal health goals and medical data to our AI tool. To address this, we opted to personify our AI assistant by naming it 'Coco', and attaching a welcoming avatar for interactions with users.
Before
After
Turning Research Insights into Ideation
Crafting a More Personalized Journey
Building Trust with AI
Mapping Out a New User Flow
Mapping Out a New User Flow
Mapping Out a New User Flow
After deciding to replace the onboarding short form responses with a chatbot, I met with the developers to discuss what a new user flow for healthcare practitioners and users might look like.
Converting Research and Discussions into Wireframes
Converting Research and Discussions into Wireframes
I constructed mid-fidelity mockups to illustrate initial research and discussions with researchers, developers, founders, and stakeholders. I used these mockups to conduct user testing and receive feedback from users and team members.
Creating Prototypes
I constructed mid-fidelity mockups to illustrate initial research and discussions with researchers, developers, founders, and stakeholders. I used these mockups to conduct user testing and receive feedback from users and team members.
Conducting Moderated User Testing Sessions
Conducting Moderated User Testing Sessions
To test the usability of my wireframes, I conducted moderated user testing sessions with 5 potential users. I asked them to walk me through the process of creating a healthcare journey and noted areas of confusions and places for improvement based on feedback.
Testing THE SOLUTION
Participants have no difficulty navigating the new chatbot and it holds their attention well
Progress bar is useful — helps participants understand the progress and gives them updates on their progress
Milestone check-ins and overview are very helpful, give participants a clear idea of the healthcare journey created
4/5 participants wanted to skip a question but were unable to do so
5/5 participants had to go back and reference the review milestones screen when editing the milestones
4/5 participants wanted more manual control to edit their healthcare journeys further
Final Features
Multilingual Accessibility
Personal Edits
Personal Edits
Visible Changes
Visible Changes
Personal AI Assisstant
Personal AI Assisstant
Enabling individuals to interact with AI in diverse languages not only improves usability, but also permits a smoother and more user-friendly system.
Dedicating the name "Coco" to our AI-powered chatbot improved confidence in AI technologies, reassuring users when divulging health-related issues to a bot with an assigned name.
Actionable Milestones
Timeframes
Timeframes
Breaking major health goals into smaller, achievable stages provides individuals with a manageable schedule they can adhere to and a more feasible way to realize their goals.
Breaking major health goals into smaller, achievable stages provides individuals with a manageable schedule they can adhere to and a more feasible way to realize their goals.
Giving users a timeframe and check-ins with healthcare practitioners when they reach new milestones is important to ensure users remain on track to achieve their goals.
Permitting users to alter their milestones and steps provides them with greater authority over the plans, rather than letting AI construct the entire plan. Users can directly edit their milestones themselves or chat with Coco to make edits to their milestones.
Designing the milestones to be visible as users chat with Coco allows users to view the real-time changes to their milestones as they make edits and suggestions.
Breaking major health goals into smaller, achievable stages provides individuals with a manageable schedule they can adhere to and a more feasible way to realize their goals.
Enabling individuals to interact with AI in diverse languages not only improves usability, but also permits a smoother and more user-friendly system.
Dedicating the name "Coco" to our AI-powered chatbot improved confidence in AI technologies, reassuring users when divulging health-related issues to a bot with an assigned name.
Giving users a timeframe and check-ins with healthcare practitioners when they reach new milestones is important to ensure users remain on track to achieve their goals.
Multilingual Accessibility
Actionable Milestones
Breaking major health goals into smaller, achievable stages provides individuals with a manageable schedule they can adhere to and a more feasible way to realize their goals.
Timeframes
Designing the milestones to be visible as users chat with Coco allows users to view the real-time changes to their milestones as they make edits and suggestions.
Giving users a timeframe and check-ins with healthcare practitioners when they reach new milestones is important to ensure users remain on track to achieve their goals.
Permitting users to alter their milestones and steps provides them with greater authority over the plans, rather than letting AI construct the entire plan. Users can directly edit their milestones themselves or chat with Coco to make edits to their milestones.
Timeframes
Reflection
Biggest Challenge
The largest obstacle I faced when taking on this project was the lack of resources available to my team. LifePattern AI is a small startup with limited resources and roles, resulting in my team having to take on multiple roles such as researchers and strategists.
Takeaway
To overcome this challenge my team and I discussed early on what resources were going to be needed throughout this project, what resources we were lacking, and found solutions to the lack of resources early. Communicating early and often was crucial to our success.
Takeaway
Another important takeaway I gained was the crucial role of advocating for users as a UX Designer. Striking a balance between the developers' vision and the users' needs was challenging, but this experience taught me how to effectively communicate my ideas.
Reflection
Biggest Challenge
The largest obstacle I faced when taking on this project was the lack of resources available to my team. LifePattern AI is a small startup with limited resources and roles, resulting in my team having to take on multiple roles such as researchers and strategists.
Takeaway
To overcome this challenge my team and I discussed early on what resources were going to be needed throughout this project, what resources we were lacking, and found solutions to the lack of resources early. Communicating early often was crucial.
Takeaway
Another important takeaway I gained was the crucial role of advocating for users as a UX Designer. Striking a balance between the developers' vision and the users' needs was challenging, but this experience taught me how to effectively communicate my ideas.
let's connect
Doankn2602@gmail.com
let's connect
Doankn2602@gmail.com
let's connect
Doankn2602@gmail.com
Let's Connect
Doankn2602@gmail.com
Reflection
Biggest Challenge
The largest obstacle I faced when taking on this project was the lack of resources available to my team. LifePattern AI is a small startup with limited resources and roles, resulting in my team having to take on multiple roles such as researchers and strategists.
Takeaway
To overcome this challenge my team and I discussed early on what resources were going to be needed throughout this project, what resources we were lacking, and found solutions to the lack of resources early. Communicating early often was crucial.
Takeaway
Another important takeaway I gained was the crucial role of advocating for users as a UX Designer. Striking a balance between the developers' vision and the users' needs was challenging, but this experience taught me how to effectively communicate my ideas.
LifePattern AI
LifePattern AI's main goal is to improve patient outcomes and experiences by creating personalized healthcare journeys using artificial intelligence. Users have reported that the process of building a healthcare journey is complicated and time-consuming, resulting in low conversion rates.
LifePattern AI's main goal is to improve patient outcomes and experiences by creating personalized healthcare journeys using artificial intelligence. Users have reported that the process of building a healthcare journey is complicated and time-consuming, resulting in low conversion rates.
Increase conversion rates and improve customer satisfaction by simplifying the process with a more intuitive design, offering step-by-step guidance and reducing the number of steps required.
Miro, Figma
Figma
Harnessing Artificial Intelligence to Optimize Personal Health Journeys
TEAM WORKSHOP
After gaining a better understanding of our users through the interviews, I worked with the developers, founders, and other team members to define the strategy and direction of the project.
Replace the lengthy response forms with a more engaging format
Provide multiple check-in points for users navigating the process
Provide customization features and allow user input
TEAM WORKSHOP
Discussing Strategy and Direction
Simplify features and language to create a more intuitive design for users
Testing THE SOLUTION
Participants have no difficulty navigating the new chatbot and it holds their attention well
Progress bar is useful — helps participants understand the progress and gives them updates on their progress
Milestone check-ins and overview are very helpful, give participants a clear idea of the healthcare journey created
4/5 participants wanted to skip a question but were unable to do so
5/5 participants had to go back and reference the review milestones screen when editing the milestones
To test the usability of my wireframes, I conducted moderated user testing sessions with 5 potential users. I asked them to walk me through the process of creating a healthcare journey and noted areas of confusions and places for improvement based on feedback.
4/5 participants wanted more manual control to edit their healthcare journeys further