A/B test result monitoring
We watch your running A/B tests: has the sample accumulated, is there statistical significance, have guardrail metrics dropped, is it time to stop the test. We signal when a result can be considered reliable or when something is going wrong. Honestly upfront: this is observation of test data and alerting, not running/designing tests and not deciding for you, and certainly not a guarantee that some variant will win.
A/B test result monitoring — overview
A/B test result monitoring is an ongoing (monthly) service: we connect to your experiments' data (from an A/B platform and/or analytics) and watch the health and results of the tests — sample accumulation and power, statistical significance and confidence intervals, the behavior of guardrail metrics (so a win in one does not break another), correctness of the traffic split, duration relative to business cycles. We signal when a result becomes reliable, when a test should be stopped or when something is anomalous. Honestly about statistics, this matters: significance cannot be 'peeked at' and a test cannot be stopped at a moment of a random spike — that inflates the false-discovery rate; an adequate sample and duration are needed. We help you avoid being fooled, but we do not cancel the mathematics of experiments: even a correct test gives a probabilistic, not a guaranteed answer, and a 'significant' result is not 'truth forever'. Honestly about the essence: this is observation and alerting, NOT running, designing and conducting tests and NOT making decisions for you — hypotheses, experiment setup and the final 'ship or not' decision are made by you or your specialist (we can do it separately); we do not guarantee that a winner will be found or that the effect will persist after rollout. Honestly about data: it all depends on the correctness of the connected A/B platform/analytics and tagging — with a wrong setup the conclusions are unreliable. Coverage is the connected tests; someone must react to a signal. An important boundary: this is test-result monitoring, not running/designing them, not analytics consulting and not CRO rework. If you do not run tests or there is not enough traffic for significance, the service is premature. Picture this: instead of 'we stopped the test on day three seeing +20%, and over the distance the variant turned out worse' you get a signal that the sample and significance are not yet enough, and you do not decide blindly. The base price starts from 10,000 ₽ per month; it depends on the number of tests and the platform.
Problems we solve
- You stop A/B tests early on a random spike and make wrong decisions.
- You are not sure there is statistical significance and enough sample.
- A win in one metric can break others, and you do not track it.
- There is no control of test health: split, duration, power.
What's included in the A/B test result monitoring service
- Connecting to experiment data (A/B platform and/or analytics)
- Sample accumulation, power, significance and confidence intervals
- Guardrail-metric control (so a win does not break others)
- Correctness of the traffic split and duration
- Signals: result reliable / time to stop / anomaly
- A warning about 'peeking' and early stopping
- Monthly continuous operation
- An alert channel of your choice (email, messenger, webhook)
What you get
- You do not make test decisions blindly and early
- You see whether the result is reliable and the sample is enough
- You notice if a win breaks guardrail metrics
- You know when a test can be concluded (the decision — yours)
How the work goes: steps
- We clarify the platform, metrics, guardrails and the signal channel; collect access to test data
- We set up control of sample, significance and test health
- We launch monitoring, review test results with you
Why PDV Expert
- Fixed price and timeline — no surprises on the invoice.
- Report and recommendations in plain language — clear without a technical background.
- In touch at every step and answering questions about the result.
FAQ
Will you launch and run the A/B tests?
No. We observe the results and health of already-running tests and notify. Hypotheses, design, experiment setup and the 'ship or not' decision are made by you or your specialist; we can run tests as a separate service.
Do you guarantee a winner will be found and the effect will persist?
No. Even a correct test gives a probabilistic, not a guaranteed answer; a 'significant' result is not truth forever, and the effect may not persist after rollout. We help you avoid being fooled by statistics, but we do not cancel the nature of experiments.
Can the test data be trusted?
Only if the A/B platform/analytics and tagging are set up correctly, the sample is adequate, and the test is not stopped on a random spike. With a wrong setup or early 'peeking' the conclusions are unreliable — which is exactly what we help avoid.
About the provider
The «A/B test result monitoring» service is provided by PDV Expert — a team specialising in «Diagnostics & monitoring». We work under contract and deliver a written report with recommendations.