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“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.”
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“I use dscout when I want people to try something in the world, and then really come back and reflect with us on it.”
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“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 …
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“Mobile ethnography on the dscout platform allowed for tremendous depth of understanding about our users—more than any other project that I’ve worked on. We built relationships with our participants, and got prolonged exposure into their mental models, life situations and emotional journeys.”
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“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 …
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"dscout's ability to give us moderated interviews and a survey without a separate recruit was a nice fit for our needs here. The tool gave us the chance to conduct a relatively quick, mixed-methods study with a national sample. When we added up what we needed and the timeline, dscout …
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“[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 …
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“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 …
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"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."
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“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.”
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“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.”
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“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 …
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"The client doesn't care about your tools—they just care about the information."
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"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."
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“People really loved it because the consumer videos really brought to life what we thought was the case. It took us out of our heads because it's not us saying these things. We’re hearing the consumer say them.”