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GTM experiment brief

Run a small market test with a hypothesis, quality guardrails, and a decision rule.

When to use this

Use when debating a new audience, message, channel, or offer without enough evidence for a full rollout.

Before the working session

Run the process

01

Write a falsifiable hypothesis

Use the form: for this audience and trigger, this offer through this channel will produce this observable buyer behavior because of this mechanism.

02

Design the measurement

Choose one primary result and at least one quality guardrail. Define denominator, attribution window, and data source. Measure effort or cost if scale would change economics.

03

Bound exposure

Set sample, calendar period, budget, owner, and any holdout or comparison. Check that the test can reach enough eligible people to inform a decision.

04

Record the decision before launch

Define what would justify scale, what requires a message or channel revision, and what stops the test. Review the data quality before interpreting the result.

Fictional worked example

Fictional example: A team sends one workflow-specific offer to 60 eligible accounts over four weeks. It measures qualified conversations and disqualifications, with a cap on research time per account. If only meeting volume rises, the offer does not scale.

Failure checks

Working worksheet

EXPERIMENT PRE-REGISTRATION
Decision the test informs / owner:
Audience and eligibility / exclusion:
Single variable changed and current comparison:
Hypothesis and mechanism:
Primary outcome / numerator / denominator / attribution window:
Quality, cost, or customer guardrail:
Sample / duration / budget / channel / data source:
Instrument check and data-quality owner:
Scale if / revise if / stop if / inconclusive if:
Result / interpretation / next test / decision date:

See more fictional examples → · Open planning tools →