Research-led product strategist
and builder.

I help teams work out what they need to learn and use that evidence to guide what they build.

My work spans product strategy, research, operations and hands-on building. I care about getting the question right and making something useful with the answer.

Explore my work
Kate Callahan

Selected work

Decisions, systems and things I’ve built.

Consulting & research operations · Public Notion templates

Earned wisdom, made useful

Consulting and research operations often mean turning what I’ve learned into something a team can use. These public Notion templates put that experience into practice, helping teams agree on outcomes and give research projects a clear starting point.

Outcome-driven experiments · Notion template

3 Magic Questions

I recommend Josh Seiden’s Outcomes Over Output to every product or marketing team I work with. Its “3 Magic Questions” framework is one I love to use when brainstorming:

  1. What are the user/customer behaviors that drive business results?
  2. How could we get people to do more of those behaviors?
  3. How do we know if we’re right?

The questions are simple, but organizing the answers wasn’t easy. A whiteboard never felt like the best fit, so I made an interactive Notion worksheet that makes a long list of ideas much easier to manage.

The template includes an overview of the questions, a single database with multiple views and instructions for working on your own or with a team. It helps everyone get on the same page about desired outcomes before investing in experiments.

Open the 3 Magic Questions template

Research planning · Notion template

Research plan for any method

There are plenty of free user research templates out there. This one boils down two decades of my hard-won wisdom to help get a research project off to the right start.

I created it for people doing product discovery, market research, usability testing, product management or UX design. It’s a starting point for planning research, whatever method you use.

Open the research plan template

Building with AI

Skills for research analysis and data visualization

Working with AI has meant learning where it needs direction. These are two skills I built to put that learning into practice.

Research workflows · Claude skill

Analyze First

AI can jump to themes before it has finished examining the evidence. This skill keeps analysis descriptive and requires confirmation that all the data is in, plus permission to begin synthesis.

Explore the skill on GitHub

Data experiences · Claude skill

Data Viz Best Practices

For a client project, I used Claude Code with live Supabase schemas to develop a measurement strategy, SQL joins and a sample dashboard. I built this skill to guide useful, accessible charts, from chart choice and truthful scales to labels and hierarchy.

Explore the skill on GitHub

About my practice

The right conversation
comes first.

Before choosing a method or building a solution, I help a team identify the questions and risks the work needs to address.

I work with the people closest to the problem, connecting research, product strategy and the systems that make the work repeatable. Sometimes that means a focused study; sometimes a measurement plan, a prototype or a tool the team can use again.

My creative practice includes Season and Color, my floral studio. Working with materials and making things by hand is another part of how I think and build.

Get in touch

Let’s talk about
what you’re working on.

callahkate@gmail.com