“In beta tests, it’s important to identify patterns. But we want to understand what’s causing those patterns, and to understand if they’re problems. Capturing those candid moments that users spend with the product allows you to determine when to take action—that’s key.”

"We couldn't think of a way better to do that other than using dscout and sending scouts to do it. We were able to select from a diverse pool of participants who live, work, and play near these six airport locations, and they were able to download the Enterprise app, …

"We chose a Diary study because we wanted to understand these folks over time, and we know everybody's day is a little different, but Mark and I really wanted to understand, "What are the highs and lows of working for a small business?" It was also important that we have …

“For me, dscout is the best research tool out there for doing app research, or for doing research on users of technology.”

“There’s that sense of realness being there in the environment surrounded by the sounds and the different products. We learned that sustainability is a really complex multi-factored concept that means a lot of different things to different people; be it organic, grass-fed, animal welfare, or recycled packaging.”

"The project started in December, which was holiday shopping season—it actually seemed like a perfect time to do a diary study and ask people about their shopping experiences, because people are doing a lot of online shopping during that time."

"Instead of having simple well-crafted tools that can all work together, companies are incentivized to create big, bloated all-purpose mega-platforms."

"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 …

“I use dscout when I want people to try something in the world, and then really come back and reflect with us on it.”

“Participants are so much less self-conscious on dscout. They’re hanging out and talking to you, and they’re getting super real. My clients are amazed they can’t get over the fact that people will do this.”

“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 …

“[Brands need to start] thinking about brand expression in less rigid terms and about the ways that your brand can come to life. Gen Z is a group of people who are so incredibly aware of their own identity, culture, and of how brands work. And they're able to kind …

"Though we had a single learning goal, we still prioritized a mixed methods approach, a survey from research, and product analytics with data science. This enabled us to understand what was happening, by unpacking both behavioral and attitudinal data, the what, and beginning to understand the why. By combining research …

"Being able to do remote qual, mobile ethnographies, journaling, and robust screeners allows you to learn quickly and make sure that the time you spend with people in-person is as rich and meaningful as possible."