Anyadd 2.0
Based on Anyadd 1.0 we were backed by venture capitalists in 2012, and updated it to Anyadd 2.0. Anyadd 2.0 is the first data visualization addressbook in 2013. It visualizes personal relationships through various mapping, for better network management upon observation. Based on Anyadd 2.0, we designed a mobile operation system MO7 OS in 2014.
What is MO7 OS?
MO7 OS is an Andriod Mobile Operation System installed on MANTA 7X which is the first smart phone without any physical buttons in 2015 and HUATUNE G55.
2013-2014 in Shenzhen. China
My Role: Art Director / UX UI Designer
Design Team: ZLAB
Tech Team: SYSU
Research
User Interview
In order to upgrade Anyadd 1.0, We need user research to help us define the usability of the new feature. During the user research process, I started with defining our primary user groups, reach our potential users and set time to interview with them. Before the interviwe, I need to plan for interview outlines and design task flows, preparing for one pre-interview and pre-observation, and refine the question outlines. We designed some tasks and observe interviewees performing the tasks. We want to uncover potential usability issues and gather ideas to address them.
Usability Testing
We wanted to simulate the real scenario they probably use the app. We give each button a number that we can analyse performing flow by recording the numbering series. After observing, we ask follow-up questions to explore users thought behind. With the Anyadd 1.0 usablity testing, we updated the interaction design of the main page.
New Problem
Soon we noticed that people have less and less communicate with each other via phonecall not just because of they don’t want, they just don’t know they need to. Do you still remember how long you haven’t make a phone call with your wife, your husband, your son, your daught, your parents, and your best friend?
Personas
By providing insights into “real” behaviours of “real” users, personas can help us resolve conflicts that arise when making design and development decisions, so our team can continue to make progress.
We created Empathy map to identify a specific persona and get people to articulate what the persona is seeing, saying, doing, hearing, and thinking.