Virtualitics is a startup founded by NASA employees and funded by CalTech Lab. Virtualitics, and their goal is to improve workplace relationships by focusing predictive AI models, and leverage exploration and collaboration in data analytics space.
July 2018 - April 2019 ( 10 months)
Virtualitics
UX Design Intern/Contractor
CTO, Design lead, Engineer, 3D artists, data scientists
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Virtualitics is a startup founded by NASA employees and
funded by CalTech Lab. Virtualitics, and their goal is to
improve workplace relationships by focusing predictive AI
models, and leverage exploration and collaboration in data
analysis space.
1. Innovate multiple data visualization graphs using our platform
2. Quantitative Research on new features
3. Create & lead image capture tool from scratch to final implementation
4. Design system consistency
5. Scientific Research papers
6. Marketing website design
7. User testing with Q & A
8. Workshop Presentation
9. Detailed specs across platforms
10. VR design assistant
During my 10 months internship, Image capture tool is what I led from scratch to final implementation. This project was successfully delivered to out client within 2 months. I worked with our engineer team & QA from multiple iterations to final deliverable to our clients.
We have one main target users to use our platforms. The predictive visualization that data analysts generate 3D visualization is extremely important, which is why they became our main user types.
“Virtualitics has not only helped us to save time but has allowed us to seamlessly identify critical business insights”
I found that data scientists are now using low quality output image export tools from 3rd parties. The outcome is not optimal for them to present and share with their team. Data are seen from different perspectives and there is no way for them to see it frame by frame.
Quick sharing to other without using 3rd party image captures
Quick sharing to other without using 3rd party image captures
Quick sharing to other without using 3rd party image captures
Quick sharing to other without using 3rd party image captures
Not able to have a good quality data visualization sharing
90% business clients use 3rd party tools to share data result on our platform but they have increasing need to share 3D data visualization graphs with their colleagues. It turns into low quality images now.
Cannot share from multiple 3D perspectives
Most of our enterprise customers use our software to present with their clients. They want to share from different 3D perspective. Key insights of data are not just from one point, it is about mixing & comparison.
In the market, I found that most data analysis softwares do not accept interactivity with the graph when they export their image. But I also learnt that sharing image is not an easy tool to use and it requires a step-by-step critical moment during the journey.
Let’s say I helped a data scientist to create this tool during his analysis presentation day
1. Can be captured in different formats: image, video, gif
2. Freedom of controlling the capture: Resizing/Close/Stop
3. Visibility:Resizing
4. Local Saving: png, mov, mp4
Let’s say I helped a data scientist to create this tool during his analysis presentation day
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Before
The pop-up export setting was originally set as a separate window with frame rate, rotation, resolution, etc., based on research
After
I decided to follow the system guideline and break it into a hierarchical structure based on users' behaviors to make resolutions more understandable
Before
Multiple steps with frame rate, rotation, resolution, etc
After
System guideline and break it into a hierarchical structure
Before
Non-focus of view
Before
Focused contrast
Hotkeys
This hover over tooltip helps first time users to find which is the hotkey quickly.
Right Click Quick Access
For those users who are used to our system, they love to find quick access by simply right clicking
It was getting complex as more tools are added
I worked closely with market team on website redesign and documentation on Wordpress. This project lasts about 3 months. It was successfully launching internally.
I was trying to show my logistic thinking when designing a feature. I tried to bring feature to every touchpoint of the use cases. But I realize that user may not really need it when we did testing.
I was trying to bring things to pixel-perfect when presenting to engineer. But the most important thing is to get to the needs and then refine it by different rounds.
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