Tools / Generator
AI product framework builder
A tool that helps you assemble a decision framework for your own context: pick the factors that matter, set how they weight against each other, and get a reusable scoring structure.
Framework Builder
GeneratorWhat you put in
The decision you are making and the factors that matter for it.
What you get back
A weighted, reusable decision framework with a worked example.
This interactive tool is in build. It will run right here on the page, with no login and no email wall.
Coming soonHow it works
Three steps
Define the decision
State the recurring decision you want a framework for.
Choose and weight factors
Pick the factors that matter and set their relative weight.
Get the framework
Receive a weighted scoring structure with a worked example, ready to reuse.
Why use this tool
Off-the-shelf frameworks like RICE encode someone else's priorities. When your constraint is different, borrowing their weighting produces confident, wrong decisions. Building your own makes the priorities explicit and yours.
How it produces its result
You choose the decision and the factors that matter for it. The tool assembles a weighted framework, shows a worked example against it, and links to the guides on the established frameworks it draws from.
Common questions
Framework Builder, answered
Why build my own framework instead of using RICE?
RICE encodes reach, impact, confidence and effort as the factors that matter. When your real constraint is different, its weighting misleads. Building your own makes your actual priorities explicit.
What does the builder produce?
A weighted scoring structure for your decision, with a worked example so you can see it applied before you commit to using it.
Do I need to understand existing frameworks first?
It helps, and the tool links to the guides on RICE, JTBD and others. But the builder is designed so you can start from your factors rather than from an existing template.
Can I reuse the framework across decisions?
Yes, that is the point. A good framework is reusable for the class of decision it was built for, and the output is structured so you can apply it repeatedly.
Learn the thinking behind it
Related across the platform
Resources and glossary
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