BeeCanvas
Overview
BeeCanvas is a visual collobartion tool based on the functions of interactive whiteboard. BeeCanvas offers a unified visual workspace for creative projects. Working as a product designer, I participated in researching potential users, our competitor and making marketing contents as well.
Roles and Skills
- Brand Design
- Product Design
BeeCanvas
Files, Images, Links, Youtube, SoundClound. Collect and organize everything visually in one place. BeeCanvas is a visual collaboration tool that lets you share and comment a image, links, or other multimedia resources on a canvas whatever you want.
How to promote BeeCanvas?
It was important to fully appreciate the challenges people face during their creative work. For deeper understanding, we needed to carry out some user research into the obstacles they encounter and their likely needs. We also had to consider our competitors and our strengths and weaknesses when compared to them.
Image from IDEO
Interviews with potential customers
Gaining an understanding about how creative people actually work, and the kind of productivity tools they use in the field, was crucial. Through in-depth interviews with creatives across many spheres, I found a commonly-mentioned difficulty to be the sharing of rough ideas and organizing various types of files. A clear need for efficient knowledge-sharing was identified. It is a universal challenge for groups of intelligent people collaborating on complex or difficult projects. How can all stakeholders get to see the bigger picture and better understand what the problems might be?
BeeCanvas
Files, Images, Links, Youtube, SoundClound. Collect and organize everything visually in one place. BeeCanvas is a visual collaboration tool that lets you share and comment a image, links, or other multimedia resources on a canvas whatever you want.
Wireframe
Our biggest challenge in this project was designing the navigation of the data from various sources. The sources of our content were: SNS (Facebook, Instagram), music streaming services (Melon, Bugs, Mnet, Naver Music, Genie, Soribada), and search engines (Naver, Daum etc). To organize the content, we categorized the menu into two main sections. The first one was updated every time the user pushed the renew button, and the other one was crawling data within the range that users manually set.
Case Study for Data Visualization UI
Before committing to a single UI design concept, carefully studying data-related UI design allowed me to suggest the most effective design to my client.
Light, Uncluttered, Accent-focused UI Design
My client and I decided to go with the light, uncluttered, accent-focused color scheme seen in Version A. This UI would help users easily visualize sentiments through the use of a light background and two contrasting colors.
My client were given the choices between 3 UI concepts and they were satisfied with their final decision.
Home Screen
The home screen is designed to encourage user interaction. Swiping left and right allows direct access to other data. The segmented bar has all categories, which allows artists to reach the other data easily by swiping left and right.
Soundchart Monitoring
Soundcharts in Peter monitors six music streaming services in real time. It provides an overview for quick reporting, as well as an in-depth view, where users can choose to dive in to hourly rankings status and their rank in the service.
Data visualization- positive, neutral and negative sentiment
One of the key features Peter offers is that it gives information about how people react to artists' songs. Peter's line graph, pie chart, and scatterplots should help users to detect positive, negative, and neutral reactions. Visualization of sentiment analysis helps musicians and agencies to easily understand positive and negative reactions to their content.
Data Analytics Tool At Your Fingertips
The goal was to make it easier and more comfortable for musicians to access their data. We wanted to eliminate the awkwardness and clumsiness they felt when using the old data analysis tool. Since it was my designing a data analysis app, it required a lot of research and case study. Through this process, we were able to produce good results.
