PROJECT OVERVIEW
Casa is an AI-powered interior décor tool that helps users visualize and curate their spaces effortlessly. Built in just five days using the Google Sprint framework, it streamlines mood board creation, provides smart AI-driven décor suggestions, and simplifies decision-making.
Casa is an AI-powered interior décor tool that helps users visualize and curate their spaces effortlessly. Built in just five days using the Google Sprint framework, it streamlines mood board creation, provides smart AI-driven décor suggestions, and simplifies decision-making.
interior décor
ai
Find the perfect furniture effortlessly with
AI-driven recommendations made just for you.
start
PROJECT GOALS
Key Insights
Key Insights
Before jumping into solutions, I explored a wide range of possibilities through rapid sketching and brainstorming. This phase was all about identifying what's missing in the current furniture shopping experience, and what could make it better. These reflections helped shape the direction of the project.
Before jumping into solutions, I explored a wide range of possibilities through rapid sketching and brainstorming. This phase was all about identifying what's missing in the current furniture shopping experience, and what could make it better. These reflections helped shape the direction of the project.
#2 Sketch
#2 Sketch
With a clearer direction in place, this phase focused on translating ideas into structure. I began by mapping out the user flow to define how someone would interact with the product from start to finish. This helped me outline key moments in the journey, spot any friction points, and ensure that the experience would feel natural and intuitive before moving into design.
With a clearer direction in place, this phase focused on translating ideas into structure. I began by mapping out the user flow to define how someone would interact with the product from start to finish. This helped me outline key moments in the journey, spot any friction points, and ensure that the experience would feel natural and intuitive before moving into design.
Key Insights
Key Insights
Before jumping into solutions, I explored a wide range of possibilities through rapid sketching and brainstorming. This phase was all about identifying what's missing in the current furniture shopping experience, and what could make it better. These reflections helped shape the direction of the project.
Before jumping into solutions, I explored a wide range of possibilities through rapid sketching and brainstorming. This phase was all about identifying what's missing in the current furniture shopping experience, and what could make it better. These reflections helped shape the direction of the project.
Key Insights
Key Insights
To design better and for real people, I wanted to ensure Casa was solving a real user problem. By building a simple user story, I could explore how someone might interact with the app in their everyday life. This helped me design with more clarity, empathy, and purpose.
To design better and for real people, I wanted to ensure Casa was solving a real user problem. By building a simple user story, I could explore how someone might interact with the app in their everyday life. This helped me design with more clarity, empathy, and purpose.
Key Insights
Key Insights
Designing Casa wasn’t just about building a product, it was about learning what really matters to users. Designing and prototyping the “final” product within the week helped me learn how think fast, solve problems and design quick.
Designing Casa wasn’t just about building a product, it was about learning what really matters to users. Designing and prototyping the “final” product within the week helped me learn how think fast, solve problems and design quick.
#5 Validate
#5 Validate
With this prototype in hand, I conducted a user test with someone who closely matched my target audience. I set up a realistic scenario, allowing them to navigate the prototype freely while observing their interactions. This process helped me uncover key gaps in the experience and identify areas for improvement. Below are the insights gained from the test and the adjustments made for the next iteration.
PROJECT GOALS
