A focused improvement following an audit

A/B Test Setup

Test a disputed change as a hypothesis instead of presenting design preference as fact.

  • Hypothesis and success criterion
  • Control and changed variant
  • Allocation, events, and quality checks
A/B Test Setup diagram showing the inspected website elements and outcome
One defined hypothesis, control and variant, primary metric, technical QA, and analysis plan.

What the website owner receives

Confirmed problem

We record the baseline and do not present an assumption as a diagnosed fault.

Bounded scope

per experiment. Expansion is agreed before additional work begins.

Verifiable outcome

One defined hypothesis, control and variant, primary metric, technical QA, and analysis plan.

What the work includes

  1. Hypothesis and success criterion
  2. Control and changed variant
  3. Allocation, events, and quality checks

We preserve the baseline and affected settings first. After implementation, we repeat the same journey and provide before-and-after evidence.

How the result is accepted

  • Each user consistently receives one variant
  • The primary metric is fixed before launch
  • The test does not break indexing or the key journey

Does not guarantee a positive result. Duration depends on traffic and required sensitivity.

Access and dependencies

We normally need the exact URL, expected outcome, and temporary access only to the affected system: CMS, code, CDN, analytics, or a controlled profile. Do not send passwords through the order form; we will agree on a secure transfer method.

Pricing remains unpublished until the site owner approves it. Before work begins, we confirm the billing unit, minimum scope, delivery time, and expansion rules.

Order form

Price: from 0 $
Time: up to 14 days (usually 168 hours)
Ordering is easy
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