👋 Hello, I’m Liz!

How I approach Product Research

I've always been fascinated by why people do what they do.

Early in my career, that curiosity drew me to behavioral science and user research. Over time, I realized that the most interesting questions aren't just about individual users - they're about how people, organizations, technology, incentives, and systems interact with one another.

That's what continues to draw me to product research today.

Product Research is for decisions, not reports.

The goal isn't to answer every interesting question or produce the perfect report. The goal is to gather enough evidence to help a team move forward with confidence.

Sometimes that requires a large strategic research initiative. Other times, a few conversations, existing data, or synthesizing what an organization already knows is enough.

Before starting any research, I ask:

What decision are we trying to make?

If the findings cannot change the path forward, we may not need more research. We may simply need to act.

I believe great researchers help organizations focus on the choices that matter, identify the evidence needed to make those choices confidently, and ensure insights lead to action.

The most valuable research happens in ambiguity.

I am drawn to the questions that don't have obvious answers:

• How will AI change the way products are designed and built?

• What should success actually measure?

• Which customer problems are worth solving?

• Where should a company place its next strategic bet?

These are rarely solved through a single interview or survey.

They require connecting signals across customers, markets, product data, industry trends, and business context to create a coherent picture of what is happening and what should happen next.

Understanding people is only the beginning.

Customer understanding matters because it helps teams make better decisions.

I care about understanding not only what people do, but why they do it, how organizations behave, what incentives drive decision making, and how products fit into larger systems.

My work sits at the intersection of customer needs, business strategy, emerging technology, and product development.

Research should scale beyond researchers.

As AI changes how organizations access and generate knowledge, I believe the role of research is evolving.

Researchers should not be the sole gatekeepers of customer understanding.

Instead, we should build systems, frameworks, and ways of working that help teams continuously learn from customers and make evidence-informed decisions at scale.