Most organizations don't have problems with their data or AI. They have problems with how they use them to make good decisions that drive the business forward. Here's how I think about fixing these problems, and how I help teams do the same.
“The question is not ‘do you have good data?’ It’s ‘do you have good evidence?’ And there’s a meaningful difference between the two.”
Evidence-Driven Decisions is a framework built around a simple but powerful idea: good decisions come from good questions and clear connections to business outcomes. Data and AI are just possible ways to get there.
Being data-driven: The data leads. You build models and hope it connects to something important.
Being evidence-driven: You start with what you’re trying to achieve. You delineate the decisions you’ll have to make to get there. And you identify the information that will best help you make those decisions.
The Workshop
The Decision Accelerator
A focused working session for leadership teams. We start where most data and AI initiatives go wrong: before the models are even built. We use five questions for clarity and impact.
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1
What is your business objective?
One measurable goal, stated as simply as possible.
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2
What decisions will you need to make to achieve it?
A decision is a choice between options, not a task already assigned.
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3
What are your constraints?
Budget, time, talent, and the real boundaries that shape your decisions.
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4
What is your current decision-making process?
How do these decisions actually get made today? Who is involved, what information gets used, and where does the process break down?
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5
What information would genuinely help you decide better?
Only include information where you can clearly say how it would change the decision.
What you walk away with
Clarity and Action.
Teams that go through the Decision Accelerator don't just understand their data better. They make faster, more confident decisions because they know what they are deciding, why it matters, and what they would need to see to change their minds.
01
A decision map
The 3 to 5 decisions that will determine whether you hit your objectives, clearly defined, owned, and sequenced.
02
An honest diagnosis
A clear-eyed look at how decisions are actually being made today and where the process is breaking down.
03
An evidence plan
A specific map of where data and AI can genuinely serve as evidence and where they cannot. No wasted investment.
04
A shared language
A common framework your team can use to evaluate any decision long after the session is over.