AI Feature Strategy Framework

Build the AI feature that deserves to exist.

Decide which AI ideas are worth building, what they require and how the economics work.

Problem fitData readinessTrustBuild vs buyAI economics
Toolkit
Problem fitProductQuant / Your Product DNA

A better next decision.
A clearer reason behind it.

  1. 01

    Avoid a quarter spent on the wrong AI bet.

  2. 02

    Check whether customer data can support the idea.

  3. 03

    Protect trust and margins as usage grows.

Apply it to your product

Get beyond the broad advice.

Use these questions to make the problem specific before choosing another tactic.

  1. 01

    Why is AI better for this specific customer job?

  2. 02

    Does the typical customer have enough usable data?

  3. 03

    Should you build, buy or wrap, and how will you price it?

How to use it

Understand the problem.
Work through the decision.

An independent working resource focused on problem fit, data readiness, trust.

Start with your current assumptions. Compare them with customer behavior. Use the gaps to decide what to change or test.

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Early access

Know when it’s ready.

Get an update when AI Feature Strategy Framework opens in the new learning library.

Pricing and final inclusions will be published before sales open. Joining the list is free.

Jake McMahonProduct strategy. Analytics. Content. Sales.