Featured In: The Missing Half Podcast with Bill Woods

On The Missing Half Podcast with Bill Woods, Colson Steber, co-CEO and founder of Qlarity Access, unpacks how smart teams use market research to stop guessing, get clear on what customers value, and make confident calls on pricing, positioning, and growth.

Most B2B leaders still think market research is slow, expensive, and built for consumer giants. Colson argues the opposite: when research starts with the objective, it becomes a decision tool that cuts through noise, aligns teams, and clarifies what customers actually value.

What makes research useful is not the method. It’s the objective.

Most teams don’t struggle because they lack data. They struggle because they have plenty of it and still can’t align on what to do next. That’s the gap Qlarity Access is designed to close.

Colson’s point is that research shouldn’t start with a method. It should start with the decision. Once the objective is clear, the process gets simplified around the few things the team actually needs to learn, using a human-needs lens to understand what buyers value, what they trust, and what pushes them to act. That’s how research stops being a report and becomes a filter: it cuts noise, narrows priorities, and makes the next move easier to commit to.

He also connects differentiation to execution. Being “great teammates” and staying genuinely interested in the problem matters because insight depends on how well you listen, probe, and follow through until the answer is clear enough to use.

Why growing companies drift from the customer

Colson notes that founders often were deeply connected to the customer early on, because they “gutted out winning everyone.” But he’s blunt that this closeness fades: “your products evolved, your customers evolved, the markets evolved,” and leadership is “not as in touch as [they] once were.”

He frames the risk as overconfidence: assuming the organization already knows because it has sales, customers, and data. His point is that “independent input” restores confidence in what you’ll decide and invest in over the next 18–24 months, when the cost of being wrong compounds.

And he ties it back to a simple market reality: the only time customers pay is when you understand and meet the need in a way the market can recognize, buy, and get value from.

Research doesn’t need a massive budget. It needs a clear decision.

A common misconception Bill raises is that “real” market research is slow and built for consumer giants. That assumption keeps mid-market teams guessing when the stakes are already high.

Colson’s counter is straightforward: match the research to the decision. If you’re about to invest heavily in pricing, churn reduction, positioning, or an 18-month roadmap, a focused study in the $20K–$30K range can pay for itself quickly by showing what customers actually value and what changes behavior.

And when the bet is bigger, the logic scales. He points to cases like a $20M+ capital investment, where getting it wrong is slow and expensive to unwind. In those moments, research isn’t overhead. It’s a practical guardrail that reduces uncertainty before you commit.

In private equity and turnarounds, research should narrow the path

Post-acquisition, the pressure is to move fast. The trap is moving fast in five directions at once.

That’s why Colson emphasizes that research is most valuable when it leads to simplification and narrowing, not more analysis. In deals that are off track, teams often have plenty of activity and plenty of opinions, but no shared external truth about what customers actually understand, value, or distrust.

He also points out how fragile conversion can be when the market is confused. Even small changes, like a pricing page update, can introduce friction and distort performance signals. Research helps teams see what buyers are actually interpreting so the fix is targeted rather than broad.

The result is focus: fewer priorities, clearer messaging, and a tighter plan the team can execute.

AI adds speed and noise. Human needs still decide.

AI is changing how teams build, search, and ship. It’s also raising the noise floor, which can pull strategy toward what feels urgent instead of what’s durable.

Colson’s anchor stays practical: tools will evolve, but the buyer is still human. Growth still depends on understanding what people value, what they trust, and what makes them hesitate. In a noisier market, that kind of clarity is what keeps decisions tied to customer reality, not internal momentum.

He also points to a likely shift in where “AI insights” lives. As these capabilities become standard inside larger platforms, tool advantage compresses. The edge moves to interpretation and focus: translating signals into clear choices about what to prioritize, what to remove, and how to communicate value in a way the market immediately understands.

Start with evidence of progress, then identify what to repeat

When teams feel stuck, the instinct is to diagnose what’s failing. But problems often show up late, after the signal has already blurred into symptoms.

Colson’s suggestion is to flip the sequence: start with a recent win and treat it like evidence. What did the customer do differently? What made the value easier to see? What reduced perceived risk? That line of questioning quickly reveals what’s actually driving momentum and what needs to stay true if you want to scale it.

From there, the next research question becomes sharper and more usable. You’re not trying to “fix everything.” You’re isolating what worked, why it worked, and what decision you should make to repeat it with confidence.

Research as a decision advantage

Good research isn’t an extra layer. It’s a decision advantage that reduces debate and increases confidence in what the market will reward.

When it’s tied to a clear objective, it narrows priorities, sharpens positioning, and prevents expensive guessing, whether you’re scaling a roadmap, resetting post-acquisition, or navigating AI-driven noise.

If the decision is high-stakes, start with the objective, then define what you need to learn to commit with confidence.

Want the full context? Check out the full episode below.