Jin Xiong
myhandyai: ai-powered diy app
Mobile Application- 2025
OVERVIEW
An AI-powered DIY app that enable people to fix everyday home problems using smart, AI-powered solution.
My central focus during the design process was to develop components, wireframe and prototype the DIY application.
ROLE
ROLE
UX Designer
TOOLS
Figma
Google Forms
Adobe Photoshop CS6
Zoom
Usability Testing
UX Metrics
TIMEFRAME
3 Months
June - September 2025
PROBLEM STATEMENT
Homeowners waste an average of $500+ annually on minor repairs that could easily be completed as DIY projects.
Unfortunately, 70% of DIY attempts end in frustration due to lack of personalized guidance.
OUR SOLUTION
Snap. Solve. Save. MyHandyAI redefines home repair by delivering expert, personalized guidance instantly, making fixes simpler, faster, and more accessible.
USER PERSONA
Liam is a potential user who would like to DIY his own repairs without the stress of figuring out what to fix.
CONCEPTUALIZATION
USER FLOW
Several user stories were merged to create the user flows. Where my prototype includes a a search bar, personalized user preference, the ability to save a project, a user profile page, an AI chat page as well as the project estimation summary page.
INFORMATION ARCHITECTURE(IA)
Following this Information Architecture (IA), test participants will be able to categorize elements within the application using a card-sorting method.
USER JOURNEY MAP
Following the information Architecture and User interviews, a user journey map was created to determine how a user would get from point A to B with MyHandyAI app
UNDERSTAND
USER PAIN POINTS
In order to build the app we must first understand a potential user's pain points. My team and I outreached 30 people. 6 users participated in my interview, survey, and follow-up.
During this phase, I received crucial information on how participants interacted with specific features, which helped me identify pain points and opportunities to refine the application.
RISK ASSESSMENT
Based on the journey map and empathy insights, we created a Risks & Mitigation chart to determine 7 types of potential risk based on User's feedback. We also came up with several different mitigation strategies to mitigate the mentioned risks.
WIREFRAMES
LOW-FIDELITY
Low-fidelity wireframes were then created and later incorporated into the DIY app, where my test participants can interact and perform tasks for the usability of this DIY app.
MID-FIDELITY
During this process, a four-column grid was utilized to convert the initial designs into mid-fidelity wireframes.
DESIGN
MOOD BOARD
I approached my iteration of high-fidelity prototypes by making a mood board with a few icons and images of relevant, small-scale, and relevant information.
This mood board was later incorporated into the style guide, with includes logos, typography, images, icons, UI elements, and so on.
STYLE GUIDE
COLOR GUIDE
REFLECTION
Throughout this project, MyHandyAI successfully transformed an underused touchpoint in the customer journey. By grounding our design decisions in user research, we developed design and content solutions that directly addressed the distinct needs having a handyman DIY and AI assistance in the palm of the user's fingertips. We believe that MyHandyAI transforms how homeowners approach repairs by putting expert knowledge at their fingertips through advanced AI technology.
NEXT STEPS
The success metrics established for this project will continue to inform iterative improvements, ensuring the buyer's guide evolves with changing customer needs. The research methodologies, personas, and design principles developed during this project also provide a replicable framework for enhancing other customer touchpoints across the MyHandyAI experience.
This case study exemplifies how thoughtful UX research and design can transform business constraints into opportunities for meaningful customer experience improvements.
THANK YOU FOR TAKING THE TIME TO VIEW MY CASE STUDY!!
If you're interested, you can view some of my other work here:
