A/B testing specialists for your dedicated team.
A/B testing splits users between variants and measures the difference in a predefined metric. Done properly, it establishes causation as well as correlation, which makes it the most reliable way to know whether a change helped.
Where A/B testing fits in a long-term product team.
The statistics are less forgiving than the tooling suggests. Sample size must be calculated before the test starts, from the smallest effect that matters; stopping when the result looks significant, known as peeking, inflates the false positive rate substantially, because a random walk crosses a threshold eventually. A test stopped early on a promising number is closer to a coin flip than to evidence.
Most product changes produce no detectable effect, and teams are consistently unprepared for that. A realistic programme expects a majority of tests to be inconclusive, which is itself valuable information: it says the change did not matter enough to build on.
What your dedicated team does with A/B testing.
Experimentation is a capability, and the tool is the smallest part of it. It needs a truly random assignment process, metrics defined before the test, a decision rule agreed in advance, and someone who will hold the line when a stakeholder wants to stop early.
Building that habit takes time on the same product, which is what a dedicated development team provides.
Common A/B testing use cases.
- Changes evaluated on evidence A measured causal effect, free of the confounds in a before-and-after comparison.
- Sample size fixed before the start A stopping rule set in advance, so the result is not manufactured by peeking.
- Inconclusive treated as an answer Accepting that most changes do not move the metric, and acting on that.
Adding A/B testing skills to your team.
Experimentation sits with a dedicated data engineering team when the measurement pipeline is the constraint, and alongside product engineering when the assignment mechanism is.
You can add A/B testing capacity as one dedicated specialist or as part of a wider remote team, with the people managed by us from our offices in Thailand. Companies hire dedicated developers this way under one agreement and one monthly fee.
Tell us what you need A/B testing for.
A service delivery manager will reply with the specialists we'd suggest, the monthly capacity and what the first month looks like.
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