"dscout helps non-researchers empathize with our users. The platform enables us to capture the voice of the customer and share their perspectives throughout Lenovo."

"I think what was a big aha moment is just how much the research would impact our go-to-market strategy and marketing language. And we've used so much of the keywords from the word cloud in our language, whether that's the website, or our pitch decks."

"It was really important to us that we have a diverse sample, diverse in a wide range of ways, and that our data has some real breadth to it. We also knew that we wanted to have really deep conversations with parents and be able to contextualize their approaches to …

“It was exciting to watch all of the participant responses appear in real-time on the dscout dashboard. We collected tons of quotes, videos, and images that we later used to engage many stakeholders across the organization. It helped us understand our users and their needs.”

“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.”

“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 …

“As we start to make meaningful progress toward what we’re recommending, we’re going to immediately start learning things that challenge that vision. Yes, We have this future-facing, North Star vision for whatever initiative we happen to be working on, but it is not set in stone. As we learn things …

“We’d recruited scouts in the path of Hurricane Irma before it made landfall. We were simultaneously watching reports from scouts come in at the same time as we were seeing events unfold on the news.”

“We had this observation that the technology was fairly complex and could only be totally understood by kids in the nine-to-ten-year age range. But that was also exactly when kids moved away from toys they played when they were younger. So we got to this conclusion in a week or …

"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."

"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."

"We found dscout incredibly effective because it’s just so deep and comprehensive. In a stakeholder presentation, we could capture video clips, show a customer journey, and illustrate how old and young people are the same in terms of their media behaviors."

"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."

"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 …

“The way we access our users greatly affects the methods that we use. I’ve worked in places where you could do guerrilla research and you can access people that use your product quickly.”