At the recent American Society for Human Genetics (ASHG) annual meeting, we did something a little unexpected. We engaged attendees in a game of social media bingo.
We published a game card, a fun collection of squares that ranged from somebody taking a nap at the meeting to somebody holding a 96- or 384-Well plate. To win at bingo, participants had to find something described in one of the squares, snap a picture, and upload the picture to Facebook or Twitter or send it over e-mail. Participants had to get four squares in a row to win.
Angelica Randall, a genetic counseling assistant from Good Samaritan Hospital in Los Angeles, walked away with the grand prize of an iPad. Two other winners walked away with 23AndMe sample kits and a number of others with GenoLogics mugs and Starbucks coffee cards.
If you look at our Facebook and Twitter pages, you can tell that attendees enjoyed playing the scavenger hunt style game. Likewise, we enjoyed interacting with attendees—over social media and in person—at the meeting.
Our other revelation? Interestingly, most of the people who played were . . . ahem . . . the younger set, or people who would be considered digital natives. There are many published definitions for digital natives, but the gist of each is that digital natives are people brought up during the digital technology age and become familiar with technology from a very early age. Contrast this term with digital immigrants, or those brought up before the widespread use of digital technology. Another model suggests the divide is less about age and more about attitudes and classifies four distinct types of technology users: power, ordinary, irregular, and basic.
However you want to classify people, at GenoLogics the subject of how people approach and use technology, and specifically a LIMS, fills our heads. LIMS have a history of being notoriously difficult to use. We actively work to dispel this idea by employing a rigorous user experience design process. In fact, we took the opportunity to conduct some user experience testing at our User Group Meeting, Gaining Clarity. We designed testing scenarios for existing and planned features and met with attendees at the meeting to analyze their use and gather their feedback.
It helps that we employ scientists with lab experience. And coupled with this important feedback that we get from users, we are able to design intuitive features that reflect the work of scientists, whether they are digital natives or immigrants. Our users come from diverse backgrounds and need to perform diverse work based on their role in the lab. And ultimately, we want all of our users to yell “Bingo!” when a well-designed feature in BaseSpace Clarity LIMS helps them do their work.
Find out why the user experience for a LIMS is so important in our informative white paper.Read the white paper »