R.K. HendersonAI leader · data scientist
Gate 01 · Quality · Stage 01 · Workbench

Frame the decision: write the brief before the model

Most analytics projects that fail to land were never tied to a decision. A brief written first forces the conversation that decides whether a model is needed at all, and what it has to beat.

Download the template (PDF) Printable sheet

01

Name the decision in one sentence

Use a verb and an object: “Choose which markets to enter first”, “Decide whom to approve at which price”. If the sentence is about a prediction (“forecast churn”), keep going until it names the action the prediction would trigger.

AskWhat action would change if the answer changed?
02

Name the owner and the cadence

One accountable person, and how often the decision is made. A weekly decision and a once-a-year decision need different tools, different evidence and different tolerance for error.

AskWho signs off, and how often?
03

List the real alternatives, including doing nothing

What are the options on the table today and what is the current rule of thumb? That is the baseline the model has to beat, not zero.

AskWhat is the baseline the model has to beat?
04

Price the two kinds of wrong

What does a false yes cost, and what does a false no cost? They are rarely equal, and the ratio sets the threshold more than any metric does.

AskWhich mistake costs more, and roughly by how much?
05

Separate hard constraints from preferences

Constraints (policy, regulation, capacity) screen options out. Preferences (weights, trade-offs) rank what is left. Mixing them hides the trade-off the owner is actually making.

AskWhat is a rule, and what is a trade-off?
06

Write the stop rule

What evidence would make the owner choose differently, and what result would end the project? Agree it now, while nobody is attached to an answer.

AskWhat result would end this project?

Checklist

Common failure modes

  • The brief describes the model instead of the decision.
  • Several owners, so nobody can say what “better” means.
  • Success is defined after the results arrive.

Open conversations

Working on getting a model
used?