Tactic 3: Experiment Design & Setup Guidance
What it is:
Have the AI assist in planning your experiment setup – from
identifying the right success metrics to estimating sample
size or duration. Think of it as an on-demand experiment
advisor that helps ensure your test is well-designed and
statistically sound before you launch.
How to use it:
Describe your experiment idea and ask the AI what metrics or
KPIs to track, or how to set up the test. For example, you might
prompt the AI with your hypothesis and ask: “What metrics
should I measure, and what audience segment and test
Example Prompt:
length would you recommend for reliable results?” While a
“We plan to test a new checkout flow vs. the
public AI won’t perform precise power calculations, it can
current flow. Draft an experiment design: list
suggest considerations (e.g. “use conversion rate as primary
the hypothesis, primary metric, guardrail
metric, ensure a few thousand visitors per variant, run at least
metrics (like time on page or customer
2 weeks to account for weekly cycles”). If you have internal
support contacts), and an estimate of how
data, you could input simplified stats (traffic, current
long to run the test with ~10,000 users/week.”
conversion rate, desired lift) and ask the AI to estimate
needed sample size or highlight if the test might run too long.
GenAI Quick-Win Playbook for Experimentation
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