Product metric tree

The question it helps answer

Use the product metric tree to organise the reasoning behind this question: How do target population, problem prevalence, solution efficacy, adoption, and customer outcome connect? The working view makes metric tree, definitions, and equations visible so discussion can move from general opinion to a specific action or decision.

When to use it

Use the product metric tree when people working on metrics, goals, and business reviews are using different mental models for metric tree, definitions, and equations, and that difference is changing choices or coordination.

What it is

The product metric tree is a set of connected concepts for examining one situation from several necessary angles. Its core working elements are metric tree, definitions, equations, and leading/lagging links. Those elements belong together because each changes how the others should be interpreted or acted on.

Core elements

Metric tree

Define the measure, population, period, source, owner, calculation, baseline, target or reference range, and counterweight. Within the product metric tree, connect this entry to definitions so the relationship can be reviewed rather than inferred.

Definitions

Capture definitions only at the level needed to answer: How do target population, problem prevalence, solution efficacy, adoption, and customer outcome connect? Use observable evidence, name any unresolved judgment, and state what action or choice this entry can change. Within the product metric tree, connect this entry to equations so the relationship can be reviewed rather than inferred.

Equations

Capture equations only at the level needed to answer: How do target population, problem prevalence, solution efficacy, adoption, and customer outcome connect? Use observable evidence, name any unresolved judgment, and state what action or choice this entry can change. Within the product metric tree, connect this entry to leading/lagging links so the relationship can be reviewed rather than inferred.

Leading/lagging links

Capture leading/lagging links only at the level needed to answer: How do target population, problem prevalence, solution efficacy, adoption, and customer outcome connect? Use observable evidence, name any unresolved judgment, and state what action or choice this entry can change. Within the product metric tree, connect this entry to assumptions so the relationship can be reviewed rather than inferred.

Assumptions

Make the assumption testable, name its owner, and specify the evidence or event that could confirm or overturn it. Within the product metric tree, connect this entry to counterweights so the relationship can be reviewed rather than inferred.

Counterweights

Capture counterweights only at the level needed to answer: How do target population, problem prevalence, solution efficacy, adoption, and customer outcome connect? Use observable evidence, name any unresolved judgment, and state what action or choice this entry can change. Within the product metric tree, connect this entry to assumptions so the relationship can be reviewed rather than inferred.