"After about 10 interviews, we heard a few key themes pop up again and again. We held a debrief session, designed a few solutions, and made some language and sequencing changes immediately. The detail and clarity of the feedback gave us the confidence we needed to act quickly."
“We need to be in there, ensuring AI is continuously tweaked to account for potentially negative impacts and human unpredictability. That can only be done if humans are in there, testing and tweaking AI until it works for us. Working together, we can make quicker data-driven decisions and design services that will have positive impacts for humans as well as business.”
“dscout allowed us to really effectively track where our users go and helped us to better understand their experience outside the app. They're able to record their screen and upload what they do—versus being constrained to a specific prototype or application—which was so powerful for us. We could also capture users when redeeming offers in a physical retail store to understand the in-store experience as well. It was the first full picture that we had of customers redeeming various offers. And naturally, we found the experience wasn’t always delightful. So we were able to then go back to our partners and make some changes on our end as well.”
"More than ever before, we’re striving for consumer-led innovation. Tools like dscout allow us to walk that walk, and actually not only want to do that, but actually do that, by truly understanding the consumers we serve."
“Many of our designers were getting frustrated that there was a lot of wear testing feedback coming through and a lot of changes being asked for in the product that we were creating, but they didn't necessarily know the reason behind that. The dscout platform really allowed us to change that. They understood the broader context behind some of the feedback that they were getting once they saw that this feedback was coming from real people, with real stories.”