What does the expertise productization scorecard measure?
It measures whether a method has repeatability, usable source assets, painful buyer demand, proof, audience access, and enough update willingness to become an AI product.
The expertise productization scorecard helps creators and operator-consultants assess whether a method is ready to become an installable AI product.
The tool scores six practical dimensions: methodology repeatability, source artifacts, buyer pain, proof, audience access, and willingness to keep the product updated.
Results are shown immediately before any email or application ask, then mapped to a recommended next step: apply, gather assets, read the methodology-as-software guide, or defer until the method is more proven.
It measures whether a method has repeatability, usable source assets, painful buyer demand, proof, audience access, and enough update willingness to become an AI product.
No. A course can help, but the stronger inputs are repeatable decisions, examples, prompts, SOPs, templates, playbooks, or client workflows.
The result recommends one of four next steps: apply to Second Brain Factory, gather assets, read the guide, or defer productization until the method is more proven.