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MVP Lab
05 Feb 2024 • 3 minutes
HOPE.X - MVP Development Within 1 Month
HOPE.X, an application designed for individuals suffering from arthritis, serves as a great example of leveraging the MVP approach to address a serious medical issue efficiently. With the HOPE.X application, users can track their symptoms and record changes in their condition. The information collected within the app is invaluable to doctors when determining the most suitable treatment for patients.
HOPE.X - MVP Development Within 1 Month
HOPE.X, an application designed for individuals suffering from arthritis, serves as a great example of leveraging the MVP approach to address a serious medical issue efficiently. With the HOPE.X application, users can track their symptoms and record changes in their condition. The information collected within the app is invaluable to doctors when determining the most suitable treatment for patients.
In this case:
In this case:
Challenge
Over 20 million people worldwide suffer from rheumatoid arthritis.
The client aimed to create an AI-powered app but faced high development costs (approximately $100,000) and a lengthy timeline to assess demand and retention.
The client aimed to create an AI-powered app but faced high development costs (approximately $100,000) and a lengthy timeline to assess demand and retention.
Challenge
Over 20 million people worldwide suffer from rheumatoid arthritis.
The client aimed to create an AI-powered app but faced high development costs (approximately $100,000) and a lengthy timeline to assess demand and retention.
The client aimed to create an AI-powered app but faced high development costs (approximately $100,000) and a lengthy timeline to assess demand and retention.
Solution
A strategic approach was adopted to create the app five times faster and more affordably.
Competitive analysis informed feature prioritization, focusing on key user pain points.
No-code iOS and Android applications were developed within just one month to speed up the process and gather user feedback fast.
Backend development was executed for essential functionalities.
A product-oriented approach allowed for:
Competitive analysis informed feature prioritization, focusing on key user pain points.
No-code iOS and Android applications were developed within just one month to speed up the process and gather user feedback fast.
Backend development was executed for essential functionalities.
A product-oriented approach allowed for:
- metric measurement,
- feedback collection,
- flexible adaptation to test hypotheses.
Solution
A strategic approach was adopted to create the app five times faster and more affordably.
Competitive analysis informed feature prioritization, focusing on key user pain points.
No-code iOS and Android applications were developed within just one month to speed up the process and gather user feedback fast.
Backend development was executed for essential functionalities.
A product-oriented approach allowed for:
Competitive analysis informed feature prioritization, focusing on key user pain points.
No-code iOS and Android applications were developed within just one month to speed up the process and gather user feedback fast.
Backend development was executed for essential functionalities.
A product-oriented approach allowed for:
- metric measurement,
- feedback collection,
- flexible adaptation to test hypotheses.
The Workflow was as follows:
1. Prototype Refinement
Initially, the client envisioned a feature-rich app with the following key functionalities:
However, user research revealed that users primarily needed features for storing disease-related data, personalized content, and an AI chatbot for communication with doctors. So, other features were excluded from the initial development.
- storing disease-related data,
- personalized content,
- AI chatbot for communication with the doctor,
- a calendar for medical appointments,
- a Facebook-style newsfeed.
However, user research revealed that users primarily needed features for storing disease-related data, personalized content, and an AI chatbot for communication with doctors. So, other features were excluded from the initial development.
1. Prototype Refinement
Initially, the client envisioned a feature-rich app with the following key functionalities:
However, user research revealed that users primarily needed features for storing disease-related data, personalized content, and an AI chatbot for communication with doctors. So, other features were excluded from the initial development.
- storing disease-related data,
- personalized content,
- AI chatbot for communication with the doctor,
- a calendar for medical appointments,
- a Facebook-style newsfeed.
However, user research revealed that users primarily needed features for storing disease-related data, personalized content, and an AI chatbot for communication with doctors. So, other features were excluded from the initial development.
Hope.X. The value proposition canvas
2. Testing AI Without AI
Developing a smart AI chatbot with personalized recommendations is time-consuming, especially when speed is crucial for hypothesis testing. Instead, we provided users with an interactive prototype and manually managed the server-side functionalities.
User data collected in real-time informed doctors and they crafted personalized responses, which were then sent to users through the admin panel.
The interactive prototype was developed within one week. So, the client could conduct customer development interviews with users over the next two weeks.
User data collected in real-time informed doctors and they crafted personalized responses, which were then sent to users through the admin panel.
The interactive prototype was developed within one week. So, the client could conduct customer development interviews with users over the next two weeks.
2. Testing AI Without AI
Developing a smart AI chatbot with personalized recommendations is time-consuming, especially when speed is crucial for hypothesis testing. Instead, we provided users with an interactive prototype and manually managed the server-side functionalities.
User data collected in real-time informed doctors and they crafted personalized responses, which were then sent to users through the admin panel.
The interactive prototype was developed within one week. So, the client could conduct customer development interviews with users over the next two weeks.
User data collected in real-time informed doctors and they crafted personalized responses, which were then sent to users through the admin panel.
The interactive prototype was developed within one week. So, the client could conduct customer development interviews with users over the next two weeks.
3. One-Month App Development
No-code development minimized interface rebuilding, and backend integration was swift.
After user feedback, minor changes were made to the prototype, and the backend's core functionalities were ready in one month.
After user feedback, minor changes were made to the prototype, and the backend's core functionalities were ready in one month.
3. One-Month App Development
No-code development minimized interface rebuilding, and backend integration was swift.
After user feedback, minor changes were made to the prototype, and the backend's core functionalities were ready in one month.
After user feedback, minor changes were made to the prototype, and the backend's core functionalities were ready in one month.
Results
- The client initiated testing of the application with early users. Provided feedback helped to address target audience’s needs effectively.
- No-code tools facilitated rapid hypothesis testing and adaptation based on user feedback.
- Early-stage app functionalities manual execution saved development costs.
- Our client found an experienced co-founder who was impressed by the speed and quality of product development.
- We were able to address a significant healthcare challenge while saving time and resources.
The HOPE.X case illustrates how the MVP approach can efficiently bring a valuable solution to market.
Results
- The client initiated testing of the application with early users. Provided feedback helped to address target audience’s needs effectively.
- No-code tools facilitated rapid hypothesis testing and adaptation based on user feedback.
- Early-stage app functionalities manual execution saved development costs.
- Our client found an experienced co-founder who was impressed by the speed and quality of product development.
- We were able to address a significant healthcare challenge while saving time and resources.
The HOPE.X case illustrates how the MVP approach can efficiently bring a valuable solution to market.
Hope.X – App built with Adalo no-code platform
Conclusion
- Early-stage app functionalities can be executed manually, saving development costs.
- No-code tools facilitate rapid hypothesis testing and adaptation based on user feedback.
- Finding users willing to test early versions and provide feedback is crucial to address target audience needs effectively.
- The HOPE.X case illustrates how the MVP approach can efficiently bring a valuable solution to market. We were able to address a significant healthcare challenge while saving time and resources.
Conclusion
- Early-stage app functionalities can be executed manually, saving development costs.
- No-code tools facilitate rapid hypothesis testing and adaptation based on user feedback.
- Finding users willing to test early versions and provide feedback is crucial to address target audience needs effectively.
- The HOPE.X case illustrates how the MVP approach can efficiently bring a valuable solution to market. We were able to address a significant healthcare challenge while saving time and resources.
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