June posts are about staying calm, staying clear, and staying in control of your insights, even when the data and the deadlines refuse to cooperate.

This article lays out a simple way to think about leveraging streaming and linear TV together, so you can defend your results with more confidence to drive trust and increase future budgets.

Asking good questions is thoughtful and a bit of an art. This week, I explore how to release your inner interrogator.

Streaming is the brain. Linear is the body. Not because one is more important than the other. But because of what each one does when you're curious enough to ask the right questions.

After 30 years working with numbers, campaigns, and an assortment of clients, I've come to believe some of the best insights aren't the ones you originally set out to find. They're the ones you stumble into when you stop forcing your first idea and give yourself the permission to see things from a different angle.

June posts are about staying calm, staying clear, and staying in control of your insights, even when the data and the deadlines refuse to cooperate.

AI is not a substitute for the judgment, context, and real-world knowledge that turns that information into actual insight. That part still belongs to the analyst. Always.

A clear topline gives the work shape. It helps insights travel further inside an organization, and it helps busy people make better decisions faster.

Used well, it acts like a nutrition label for your analysis: it shows what went in, what was left out and what a reader should keep in mind before acting on the findings.

Analysts, marketers and researchers who juggle many requests will find practical steps they can apply right away.

There is no special skill set or knowledge in this; it's a matter of asking the right questions about what data is actually showing them over time.

At its core, segmentation is about clustering or grouping people together based on shared attributes.

What if, the moment that urgent request landed, you already had a library of pre-built insight cuts—organized by channel, by segment, by time period—that you could grab, adapt, and deliver in a fraction of the time?

How you prepare a dataset determines whether your insights feel trustworthy or shaky, whether your analysis takes an hour or a day...

In April 2026, Quark Insights walked through a practical path from planning your work to targeting the right audience, step by step.

When you can describe your audience in specific, layered terms, decisions get easier.

With the right structure — and a clear sense of what story you're trying to tell — you can build something that is simple, clear, and keeps your business focused on what is most critical.

Think of these four tracks as a pre-analysis sifting system.

Analyses achieve more impact — and drive businesses to take action — when you flip your point of view, and begin with the decision instead of the data.

I'm sharing my playbook for how analysts and decision-makers can move from “interesting charts” to decisions people remember, trust, and act on.