January 7, 2026




January 7, 2026




In the current environment, the pressure to integrate AI into every product is palpable. Organizations are moving at breakneck speeds, often leaving UXR teams feeling like they’re standing in the path of a freight train.
The instinct to hit the brakes—to rigorously validate every assumption before proceeding—can inadvertently position researchers as adversaries to progress rather than partners in innovation. But this moment of high-stakes ambiguity offers a unique opportunity for research leaders to redefine their influence.
Michael Winnick, CEO of Dscout, argues that the key to navigating this shift lies in fundamentally changing how researchers engage with organizational momentum. Instead of relying on the traditional methods of "blocking" or slowing down initiatives, Winnick advocates for a strategic pivot: channeling the existing energy within a company to drive user-centric outcomes.
In this conversation with Marvin CEO Prayag Narula, they explore the art of becoming a strategic ally, the trap of obsessing over exact ROI, and why the future of research depends on practicing "Judo" instead of "Karate."
Michael: That is the fundamental question. I get to meet incredible UX researchers and leaders, and I have noticed that the people who have significant strategic influence do a few specific things differently.
To become that strategic ally, I think there are several key shifts you need to make:
Link to business levers
The best researchers are able to tie the behaviors and things they are seeing directly to levers and metrics that are business-friendly. You don't necessarily need to quantify it precisely to have an impact.
We tend to treat insights as nouns—things we deliver. But insights and decision-making are actually verbs; they are inherently emotional.
We have incredible strengths—curiosity, the ability to facilitate and lead a group, and the ability to visualize. These are powerful skills that can help us become much more strategic partners inside an organization if we focus on bringing them to bear internally, not just in our fieldwork.
A lot of the challenge in our field is that we are often put in a role of trying to caution the organization. We see a trend inside the company, and we try to slow the momentum down. We always say we play a little "Karate"—we say "no" and try to block the force.
There is tremendous power in focusing less on those "Karate vibes" and moving a little bit more towards "Judo".
In the case of AI, there is a general and very true feeling across many organizations that this is an onslaught—it feels like AI is being pushed down on us.
We all feel time pressure. Our field is habitually under this time compression challenge! But the pressure to ship is quickly followed by the pressure of adoption.
“The number one challenge in AI is technology for technology's sake. By channeling the momentum, we might be able to tie it to a user problem and actually get to the next point faster and better.”
Michael Winnick
CEO, Dscout
ROI always sounds like a thing that is really scientific and that you are constantly measuring, but that is not how it usually happens. ROI is often taking your best case studies and trying to quantify impact after the fact.
I have two main thoughts on this:
One of the benefits of running very tactical research as part of your team is that it is typically much easier to tie to ROI.
If you’re a basketball player, can you only do layups or only shoot three-pointers? No. You’re better if you can drive to the hoop and shoot from distance.
I don't want to give pat answers to a very complex moment, but I think our field has a tremendous amount of value at moments of high ambiguity.
What are people afraid of? They’re scared of the ambiguity and the uncertain impacts of this moment. It’s important to realize that this is what your whole company is feeling right now—your engineers, your sales teams, and your leaders.
We are a function that can help to bring clarity. In many ways, that is one of our most essential capabilities.
I hope you operate in an organizational context where proactivity is appreciated. This is a great moment for a little proactivity—not simply waiting to be asked to run a study, but saying, "Hey, given everything I've been thinking about, I have some thoughts and direction on this that I'd love to share".
Democratization is just a reality; it’s a thing in our space. At this point, it’s not inherently good or bad—it’s just a fact.
Like many technologies, there is "good democratization" and "bad democratization".
If we try to slow everything down, we’re going to fail as a field. But if we try to do everything as instant insights with no thought and no friction, we will also fail.
The path forward for researchers isn't about resisting the tides of change, but learning to navigate them with skill and intention. By speaking the language of the business, balancing tactical work with strategy, and providing clarity in times of fear, researchers can cement their role as indispensable partners.
The future is not about whether AI will replace research, but how research will guide the application of AI to build products that teams—and users—actually trust.