A simple tool designed to help people feel more confident handling basic home repairs and maintenance. It makes everyday tasks easier to understand and less overwhelming.
Softwares used: Figma, Adobe Illustrator, Adobe Photoshop, Adobe After Effects and Gemini
Softwares used: Figma, Adobe Illustrator, Adobe Photoshop, Adobe After Effects and Gemini
Problem statement:
“Can you fix this for me? I’ll get you dinner.”
Homeowners & renters mostly face a lose-lose situation when it comes to assembly & repairs that can be done DIY. They spend $50–$1000 per home project on external help or attempt repairs that sometimes lead to frustration & wasted time.
This keeps them trapped in a cycle of dependency rather than being more self-sufficient.
Pain Points
Assembly and repair instructions can often be overwhelming or confusing, with no way to verify correct execution until something goes visibly wrong, wasting time and causing frustration.
How might we encourage people to become more confident and self-sufficient in handling their own repair and assembly needs?
Learn a skill and treat yourself instead!
Ezfix is an AR-guided repair platform that allows people to confidently repair, & assemble household items without external help. This helps save money while developing lasting self-sufficiency skills.
Therefore, with every project you work on, you build the satisfaction of being more capable, resourceful & independent.
Key Features
Summary
- CareAR provides real time feedback through XR.
- Taskrabbit and Angi are competitors that promote convenience and do the work on behalf of you.
- YouTube, Amazon & Ikea provide paper/video based instructions but doesn’t go further than that.
User Personas
Empathy Map
This is the first skeletal structure of what the app will entail with respect to it’s features and user flows. The mid fidelity wireframes were built with this foundation.
2 x 2 Matrix
A series of lo-fi wireframes were created keeping in mind the core features and functionalities of the app that was brainstormed while constructing the information architecture. User testing was done with these wireframes to understand what features the users resonated with the most and what they felt like didn’t add too much value.
User Research
User Testing Synthesis
Key Learnings
UI Problems — Solutions
Brand Positioning
Brand System
Microinteractions
Making the app too gamified is not an incentive enough for an older demographic.
As the app is focused towards newer technology, it was best to keep the user interface limited to necessary features and make it simple to navigate.
Users seemed to want all home related things in one space to have it all coordinated. Having maintenance reminders was a common favourite amongst them.
Designing with older adults in mind could have made a crucial difference, as they represent a key user group that frequently depends on external help for everyday home upkeep.
The app could better support collaboration between couples or housemates, allowing them to share responsibilities and pick up each other’s ongoing projects more seamlessly.
Since not all users fully trust advanced technology, the app should still work in a simplified form—potentially through retailer partnerships that provide accessible guides and reliable information.