Resource.IO
Product Designer
Original Project: Jan. '16 to Apr. '16
Resource.IO — Designing a SaaS Dashboard for Recruiters using AI
Project Summary
This project was originally completed by a team of 3 UX designers. All insights and assumptions were derived from our user research, user interviews, and usability tests from that time. This is an exercise in how I can use AI to optimize my design process, and what I learned through it.
Approach
I used AI to elevate my process. Even after using AI, I still spent some time designing the UI in Figma, and adjusting the designs to fit the original project requirements.
The Original Problem
Resource.IO hired our team to create a SaaS dashboard to visualize recruiting campaign data. At the time, I worked with 3 UX designers to conduct user research, user interviews, and usability tests. We collaborated with the Engineering lead to handoff our solution.
Original Solution
The main goal of our initial design was to visualize the data so founders could see that recruiters were making progress in filling their roles. I was interested to see how AI could ideate data visualizations that clearly made these connections.
ChatGPT
I loaded my project notes into ChatGPT and asked it to create a project summary, and project brief. This could be a valuable tool in my process to align with Product Managers on the scope of the project. Although ChatGPT can also create UI, I found that it took too long to render, and the results often had a lot of errors.
Loveable AI
I used Loveable AI to ideate solutions. First, I used the full ChatGPT brief, which took too long to render. Instead, I asked ChatGPT to summarize the key design features, and asked Loveable to create an app from it.
Findings
AI is incredibly powerful for quickly creating concepts. LoveAble is also able to quickly ideate different solutions and different usecases within that prompt. The only down side is there is a limited on the daily prompts. I still think there needs to be a designer who can find the right solution within the various constraints of a project. I'm not sure if that will always be the case.
One thing is for sure – AI raises the floor for UI design. Now, we can quickly ideate multiple solutions. This will give designers more time to experiment with other ways to prove the experience. I'm forseeing more explorational interactions, which is why prototyping is becoming a more marketable skill.
Interactive Prototype
If AI can reduce the amount of time needed to ideate solutions, I think it will be more important to prototype and test interactions to provide value to the user. View in full screen and press (R) to restart the interaction.