“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 …

“We pulled only Lenovo product owners out of the screener for our mission, but have all other data back-logged."

“Collaborating with dscout feels like thought partnership. Every time we engage with dscout, you can tell they’re passionate about people and want to help you do better research. They’re always trying to help you be successful and build your confidence.”

“I started recruiting partially with dscout. We wanted to test with 12 users. Six non-users of our products and six current users—who we’d already had recruited. We put them in separately and onboarded them with dscout.”

“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.”

“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 …

“One of the differences between in-person research and remote research is the longitudinal aspect. With dscout and diary studies, we can engage with a particular group over a period of time. That’s so valuable for us in talking about things like money and work, because it’s not something that people …

“Another big hitting point was that dscout has this giant database of scouts who are eager and motivated to participate, and they're all over the country, and I have this ability to recruit for different types. The diversity in the pool was really important for this work.”

"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."

"The client doesn't care about your tools—they just care about the information."

"I hadn’t talked to potential customers yet and started to think, ‘Do people really use a changing table or do they just avoid it? Do they not even go into the store?"

"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 so cool to give personality to a start, especially when standing up a new offering or feature. We had the business case, and now we had the human case. There is certainly optimization that's based on our quant data, and now we're injecting the story to ensure we're …

“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.”

"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 …