🧫  Sequential Testing (also called sequential analysis)

Sequential Testing (also called sequential analysis)#

Analysing results as data arrive while controlling error from repeated looks.

Important

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What it is#

Sequential testing (sequential analysis) monitors an experiment continuously and lets you stop as soon as the evidence is conclusive — rather than waiting for a fixed sample size. It is built for the streaming data of modern experimentation platforms.

The problem it solves#

Repeatedly checking a fixed-horizon test and stopping when it looks good — peeking — badly inflates the Type I error. Sequential methods like the sequential probability ratio test (SPRT) and group-sequential designs keep the false-positive rate controlled at any time, so early stopping is valid.

The payoff#

Because it can end as soon as a winner (or a dead end) is clear, sequential testing cuts the average sample size and deployment time, exposing fewer users to an inferior variant — at the price of slightly more conservative thresholds to preserve error control.


Theme: A/B Testing & Experimentation  ·  All terminology



See also

Source article Adapted (context, re-expressed) in our own words from: Sequential Testing (also called sequential analysis) (insightful-data-lab.com).

Tags: purpose: reference topic: terminology level: intermediate