A/B & Multivariate Testing

A/A Tests: Why and How

A/A tests compare identical experiences to validate your experiment setup and variance assumptions. See if you know when and how to use them well.

The primary purpose of an A/A test is to validate the ______, not to find a winner.

creative concept

data warehouse schema

content management system

experiment pipeline and instrumentation

A/A tests check randomisation, tracking, bucketing, and analysis before testing real changes.

A common sign that something is broken in an A/A test is a persistent ______ between groups.

100% conversion

perfectly equal revenue

sample ratio mismatch (SRM)

zero bounce rate

SRM indicates allocation or tracking bias; investigate filters, bots, or eligibility logic.

A/A tests are most useful ______ running the first major A/B on a new surface.

during final rollout only

instead of

after

before

Validate measurement first so later results aren’t confounded by setup errors.

If an A/A test shows significance repeatedly, your ______ assumptions may be wrong.

viewport

image compression

variance or independence

cache eviction

Underestimated variance or correlated samples can inflate false positives.

Which unit is typically preferred to avoid cross‑session contamination in A/A tests?

ad‑impression‑level

pageview‑level

network‑level

user‑level randomisation

Keeping a person in one bucket across sessions prevents spillover bias.

A/A tests help calibrate minimum detectable effect (MDE) by measuring ______ noise.

device pixel

baseline

color profile

CDN

Observed baseline variability informs realistic MDE for later A/B tests.

A guardrail metric commonly checked in A/A and A/B tests to spot issues is ______.

file size of CSS

image ALT length

HTTP referrer string

bounce rate stability

Sudden guardrail swings often indicate instrumentation or eligibility problems.

To detect SRM early, many teams monitor live allocation charts and run a chi‑square test on ______ counts.

bucket

cookie

font

pixel

Bucket‑level observed vs expected counts reveal allocation anomalies.

A/A tests should use the same randomisation, eligibility, and traffic filters as your ______ tests.

load

A/B

security

visual

Only then can they validate the conditions that matter for true experiments.

One limitation of A/A tests is they consume time and traffic without producing ______ lift.

RGB

business

HTML

DNS

They are diagnostic, not optimisation; use them selectively when risk justifies.

Starter

You’re new to a/a tests: why and how. Revisit definitions, guardrails, and simple examples to build intuition.

Solid

Good understanding of a/a tests: why and how. Strengthen your analysis habits and pre‑registration discipline.

Expert!

Excellent command of a/a tests: why and how. You’re ready to operate at scale and mentor others.

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