Data Core · Performance Analysis · Module

The question

What decision the analysis is meant to inform, and what answer would change it.

The idea

How it works

Analysis begun from available data produces interesting patterns; analysis begun from a decision produces answers. The second is harder to start and considerably more useful.

The sharpest scoping question is what answer would change the decision. Where no answer would, the analysis is not worth running whatever it might find.

Working with it

In practice

  1. 01

    Name the decision first

    What will be done differently depending on the answer. If nothing, stop here.

  2. 02

    State what would change it

    A threshold or a direction. This also tells you how precise the analysis needs to be.

  3. 03

    Label exploration as exploration

    Looking around is legitimate. Presenting it as decision support is not.

  4. 04

    Set the precision required

    Many decisions need only a direction. Precision beyond that is expense with no return.

One level in

The components of the question

A component is something that exists afterwards which did not exist before — a deliverable or a mechanism, not an intention.

  1. The decision

    What will be decided on the basis of the answer.

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  2. The changing answer

    What result would change the decision, and in which direction.

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  3. The precision needed

    How accurate the answer has to be to be useful.

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Ask what answer would change the decision. Where none would, the analysis is not worth running.