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Generate a dozen offers, score your favourite against a rubric

By Ryan Richardson · Published 8 October 2026

Generate a dozen candidate offers rather than choosing one, then score every one of them blind against a rubric dated before you looked at any of them. Your favourite scoring a six the moment something else on the list scores a nine is the part worth reading, not the part worth rounding away.

Generate before you choose

Choosing a single offer up front means the choice is protected by whatever reasoning justified it in the first place. Generating a dozen candidates first, then scoring all of them the same way, removes that protection. The discipline is the same one used for picking a manuscript's final draft: write the rubric and the floor before anyone, including you, scores a single candidate.

Score blind, against a rubric written first

The full offer rubric runs fifteen dimensions, with worked examples at scores of one, five and ten. Score every candidate against it, dated before you looked at any of the offers, the same rule that governs every other scoring pass in this method: a floor you can move after seeing the score is not a floor, it's a preference.

The low score on your own favourite is the signal worth reading. A nine-scoring alternative sitting beside your six-scoring favourite is the rubric doing its job, not a reason to re-weight the dimensions until your favourite climbs back on top.

What done looks like

A dozen offers exist in writing before any scoring starts. Each one is scored against the same fifteen-dimension rubric, dated, with the scores kept even when one of them contradicts your own preference. Whatever survives becomes the offer you build the entry product and ladder around.

The numbers
ClaimValueSource
Number of candidate offers generated before scoringa dozenThe Sixty Steps manuscript
Dimensions in the offer rubric15, with worked examples at scores 1, 5 and 10Measured in Real Money, Field Manual
Matrix difficulty/coverage, offer generation and scoringEasy/Moderate, both Almost nobody does thisThe Sixty Steps matrix
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This page covers one step. The full method is in the book.

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