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Product Strategy

Decide what should exist, then prove it.

Deciding what to build, for whom and in what order, then testing it against a prototype.

We do product strategy as the start of building a product: what it is, who it’s for, what the first version does and what it deliberately leaves out. Ideas often arrive half-formed, and that’s a good time to start. Then we test those decisions against a working prototype, often within weeks.

If you want the thinking before committing to a build, it can be its own first step.

The early decisions

Settled before the build starts

We’re direct about trade-offs. If a feature won’t pay for itself, or buying beats building, we’ll say so.

The first version

What’s in, what’s deliberately out, and why.

The right level of software

Prototype, tool or production, and what has to be true before moving up.

Build, buy or connect

Whether to build at all, and where custom work earns its keep.

Strategy and AI

Building fast makes the strategy matter more

AI-assisted building does exactly what it’s pointed at, so the expensive mistake now is building the wrong thing well. The upside is that a strategy can be put in front of real people before much money is spent. For products that use AI, we also decide what the AI does, what happens when it’s wrong, and where a person reviews its output.

Product Definition is the full page on this work, and Opportunity Mapping covers where AI and software fit across an organization.