Marketing

Steve Huber, Founder of Tractor Studios, on How Customer Insights and Research Drives Product Development

The following is a short Q&A between methinks’s CEO, Aaron Burcell (AB), and Tractor Studios’s Steve Huber (SH), the full-service design agency’s founder and mainstay. Based in San Francisco, Tractor has worked with startups, tech giants, award-winning entertainment and San Francisco institutions alike for over 20 years. Tractor is perhaps best known for developing the brand identity …

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Entertainment and Welcome Distractions in the Corona Virus Lockdown

There’s only so much news one can take right now. Cable, online, print — the news is all about COVID-19. And, with all of our time at home, there’s an increasing need for welcome distractions. This weekend, I turned to my favorite recommendations app — Q — created by a recent methink customer, Porch Games, …

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Video: How to Become a Research Panelist on methinks

Applying for research gigs, online surveys and side hustles can be quite complicated. But, not with methinks. To show you how easy it is to become a Thinker and apply to a gig, we created this short video. https://www.youtube.com/watch?v=QVyxE6G-q9k Why does it have to be hard? Truthfully, it doesn’t. But, we advise Thinkers to have patience. …

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methinks Thinkers Create Videos that Display their in App Experience

On-demand participants are at the core of qualitative research, and at methinks, we feel the same way. Besides participating in important research projects, one-on-one video interviews, focus groups, app tests and more, some Thinkers still go above and beyond by creating an understanding and inclusive community of participants.  Today, we want to showcase some of …

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How to Overcome the Most Common Research Challenges

In our new whitepaper, “Customer Insights in the Digital Age: Not All Research is Created Equal,” you’ll learn how to:

– Generate customer insights in hours rather than months
– Find quality research participants willing to give genuine feedback
– Trade in overwhelming data dumps for compelling findings

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