Product Strategy in the AI Era

Write your strategy as a diagnosis, a guiding policy and coherent actions, not a list of features.

Test it against how your company makes money before you present it.

Decide how to respond when AI turns one of your core features into a commodity.

-Map what customers would use without you, including free AI tools.

Apply the five components of positioning: alternatives, unique attributes, value, target customer and market category.

Decide when to lead with "AI" and when to lead with the outcome.

Build a full monetization model: what you charge for, how much, when, and to whom

Protect revenue when AI makes users 10x faster by moving off per-seat pricing

Keep AI features profitable by pricing them against real token costs

Defend a price to leadership using cost, competitor and customer-value evidence

Find what customers will really pay through surveys, interviews and bundle tests

Change prices safely without losing customer trust

Choose the right free plan or trial for your product, and know when you shouldn't offer one

Ship a launch plan your sales, marketing and product teams can all execute

Plan discovery, onboarding and adoption, not only the release.

Replace the classic metrics that mislead on AI products.

Measure what a feature costs against what it earns.

Run A/B tests on AI features and defend the result.