Period

Oct 2023

My Focus

  • UX/UI design

  • Datasets

Type

Individual student project - Business Academy Aarhus

Project Links

The prototype in Figma

Personal Summary

The highlight of this project was how to use datasets to fill prototypes with realistic mock information. I learned where to find relevant datasets and how to integrate them effectively, making my prototypes feel more convincing and functional. When datasets weren’t sufficient, I explored using AI to generate additional mock data, which gave me more flexibility.

Incorporating datasets into my Figma workflow was a game changer. It not only sped up the prototyping process but also changed the way I approach design. Automating data population allowed me to focus more on usability and interaction design rather than manually inputting content. Overall, this experience strengthened my ability to create dynamic and data-driven prototypes.

Period

Oct 2023

My Focus

  • UX/UI design

  • Datasets

Type

Individual student project - Business Academy Aarhus

Project Links

The prototype in Figma

Personal Summary

The highlight of this project was how to use datasets to fill prototypes with realistic mock information. I learned where to find relevant datasets and how to integrate them effectively, making my prototypes feel more convincing and functional. When datasets weren’t sufficient, I explored using AI to generate additional mock data, which gave me more flexibility.

Incorporating datasets into my Figma workflow was a game changer. It not only sped up the prototyping process but also changed the way I approach design. Automating data population allowed me to focus more on usability and interaction design rather than manually inputting content. Overall, this experience strengthened my ability to create dynamic and data-driven prototypes.

Period

Oct 2023

My Focus

  • UX/UI design

  • Datasets

Type

Individual student project - Business Academy Aarhus

Project Links

The prototype in Figma

Personal Summary

The highlight of this project was how to use datasets to fill prototypes with realistic mock information. I learned where to find relevant datasets and how to integrate them effectively, making my prototypes feel more convincing and functional. When datasets weren’t sufficient, I explored using AI to generate additional mock data, which gave me more flexibility.

Incorporating datasets into my Figma workflow was a game changer. It not only sped up the prototyping process but also changed the way I approach design. Automating data population allowed me to focus more on usability and interaction design rather than manually inputting content. Overall, this experience strengthened my ability to create dynamic and data-driven prototypes.

Context

A week long project, during which I mainly trained my designing skills in Figma. I was tasked with inventing any kind of concept app and then utilize datasets to create a convincing prototype for it.

Process

First, I had to come up with a concept for the prototype. I was always intrigued by space and the endless knowledge hidden within it. I found a dataset on Kaggle containing information about various exoplanets that might provide a livable environment for humans. So, I decided to center the concept around the idea of learning about these planets so users can choose where they would like to hypothetically settle in the future.

Excerpt from the data I used


With the concept defined, I created a lo-fi design to choose the right colors and layout for the app.

Lo-fi version of the app


Next, I started experimenting with My Mock Data plugin in Figma. Thanks to this tool, I could quickly create a hi-fi version filled with all relevant data to make the prototype look like the final product. Instead of creating all content manually one by one, I used the plugin to duplicate components and fill them with data from the dataset.

The base variants of the components


Planet cards populated with information from the dataset


Since the dataset I found did not contain all of the information I desired, I used ChatGPT to create descriptions and images for each of the planets.

An example of the planets descriptions

Result

Thanks to datasets, I managed to create a convincing prototype of a concept app in just one week. Additionally, I learned how to generate mock data through AI that can be also used to populate a prototype with placeholder information, which allowed me to dedicate more time to the design and the user flow.