“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 that challenge that perspective, it’s okay to move that flag as long as we always are marching toward something."
"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."
"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 and data science, we could provide complimentary insights, gain a holistic understanding of the experience, and mitigate blind spots of a single research method."
"The client doesn't care about your tools—they just care about the information."
"Instead of having simple well-crafted tools that can all work together, companies are incentivized to create big, bloated all-purpose mega-platforms."
“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 feel the same way about every single day—so being able to interact over a long period of time is important.”
"Okay, we're going to have a six-week study and we’ve locked in the primary questions we want to ask.”
"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."
"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."
"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 not missing anything, not overlooking anything because of our standpoints."
“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.”
"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."
“We pulled only Lenovo product owners out of the screener for our mission, but have all other data back-logged."
“We believe that technology is smarter if it improves human outcomes. Smarter technology is human-centered technology, and our mission is to make smarter technology for all. At Lenovo, it's important to us for everyone to be able to equally access and experience our products and content.”