Jeff Bezos once said, “When anecdotes and data disagree, anecdotes are usually right.” This speaks directly to the reality most leaders intuitively recognize: Qualitative insights often hold more practical truth than quantitative metrics alone. Despite agreeing that our best decisions often come from customer anecdotes or qualitative evidence, many organizations fail to invest enough in systematically capturing and sharing these insights effectively.
More often than not, companies do the hard work of talking to their customers, but they don’t use it. Customer insights get scattered across tools, lost in email threads, or buried in folders that never see the light of day. Even teams that invest in centralized tools like customer feedback repositories struggle to get full value from them, simply because the culture and workflows around them aren’t set up to support research-led decision-making.
Research is rarely at the fingertips of the people who need it. When it’s time to make a critical decision, leaders default to gut instinct, the latest sales call, or whoever talks the loudest.
It doesn’t have to be this way. Research lives everywhere—in the hands of the product team, the customer success team, even the interns and the C-level execs. This used to be a hard problem—unless you were willing to go out to every employee and ask them what they heard from customers. With AI, anyone can now surface insights, spot patterns, and truly understand what customers are saying.
The most successful companies make research easy to find, use, and act on. That way, everyone can make faster, smarter decisions rooted in what customers actually need.
4 Ways Businesses are Doing It
1. Converting hunches into hard evidence
The head of design at Pantheon had a gut feeling that mobile user experience was hurting their product. But leadership needed more than a vibe.
Without immediate access to fresh research data, he examined existing user studies more closely. What he found was surprising: buried within previous reports was an important insight—over 12% of users had already flagged mobile issues.
That data point secured buy-in from the C-suite—and fast. As a result, the mobile overhaul got the green light.
2. Embedding research into the workflow
At Field Nation, a marketplace for on-site IT labor, customer research is ingrained in the company culture and workflow. Employees across departments talk about research, share it, and use it to make better decisions.
For example, the design team surfaces the most requested features and passes them to the product team. Then customer success leads follow up with users to say, “Hey, we heard you, and we fixed it.”
That kind of closed-loop system builds trust. It starts by making insights shareable, searchable, and front and center in everyone’s workflows.
3. Scaling research impact with AI
AI is making the vision of “everyone is a researcher” a reality. Wave, a money management platform for small businesses, turned a one-man research team into a cross-functional powerhouse.
Josh Litwin, their sole researcher, empowered five teams by centralizing feedback and using AI to analyze it 20 times faster. A research report that used to take 10 days to create now takes just four hours. Teams across product, marketing, and customer support tap into a shared hub to view research highlights and live interviews—sometimes with more than 20 people tuning in.
Wave’s approach shows that even a lean team can leverage research to enable smarter, customer-rooted decisions across the business.
4. Creating a culture where everyone uses research
A customer-centric culture starts at the top. Business leaders need to see research as a make-or-break in every major investment—from product development to marketing initiatives.
My team recently spoke with Jake Burghardt, the author of “Stop Wasting Research,” who summed it up nicely: “Success looks like other people using your research. Repositories are a major enabler, but it’s really all of the culture change and processes and practices that unlock new value.”
The real game-changer? AI. It’s making research accessible to anyone. This is one of the most tremendous shifts in modern-day user research: the ability for research to be legible for, and usable by, non-researchers immediately and seamlessly.
When everyone can find and act on research without friction, decisions get better. Faster. More aligned with what people want and need. That’s when research stops collecting dust and starts driving results.
Prayag Narula is the co-founder & CEO of HeyMarvin, an AI-native customer feedback repository that elevates the voice of your customers so you build what they need.
