MSCHF (pronounced “mischief”) is an American art collective based in Brooklyn, New York, United States. MSCHF has produced a wide range of artworks, ranging from browser plugins to sneakers, physical products, social media channels
Goal:
MSCHF, a Brooklyn-based art collective and agency for brands, has a cult-like following that results in viral product launches – ranging from real-life products for sale to web apps designed to get reactions and build social currency.
For two of MSCHF’s recent product launches, the MSCHF team needed to load test their sites for usability, crashes, and stability before a public launch. Testing with real users required finding a mix of devices, operating systems, and browsers to identify bugs and other issues before. Launch.
The first product was a Robo-caller, described as an Anti-Robocalling Robocalling Super PAC. The product was similar to election style super PAC dialers that consumers are subjected to during election season, but designed to “Make robocalls to end robocalls”.
The 2nd product was an AI-generated bot to rate your attractiveness and match you with other users via chat. Both products were designed to poke fun at common social trends.
Results:
MSCHF turned to BetaTesting to help them recruit a wide range of people to test their products at the same time to understand load issues. BetaTesting recruited testers across a wide mix of demographics and device types, who agreed to join the test at the same time across the US.
Testers prepared for the test in advance by sharing device information and completing pre-test surveys, and were prepared to join the live test in the exact same time.
During the first live test, testers uploaded pictures to the AI bot, matched with other testers to chat online, and received feedback about their pictures. During the full hour, they were given specific tasks to upload different types of pictures and interact with different people and features across the site.
For the 2nd test, testers received phone calls throughout the hour, and reported feedback about the call clarity, frequency of calls, and more to help refine the super-PAC dialer product.
During the live tests for MSCHF, the team identified:
- Crashes and product stability issues across various browsers and devices
- Pain points related to the usability of each product
- User experience feedback about how fun, annoying, or engaging the product was to use.
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