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Reference table

Bandit or A/B test? Six questions to decide

What each answer about your decision points to

Decision table with six questions for choosing a multi-armed bandit or a fixed A/B test, such as what you need at the end and how long the decision lives.
A bandit gives you a winner. A fixed test gives you a number you can reuse

A decision table for choosing between a multi-armed bandit and a fixed A/B test. Six questions cover what you need at the end, how long the decision lives, how many arms there are, whether the loser matters, whether effects differ by segment and how fast the metric matures. Use it in experiment planning before traffic is split. Whichever you run, Koji interviews can explain why an arm won or lost.

Where this appears

What's in this reference table

Question about your decisionPoints to a banditPoints to a fixed A/B test
What do you need at the end?A winner to serveA magnitude with an interval
How long does the decision live?Hours to daysMonths to years
How many arms?Many, with weak priorsTwo or three, well specified
Does anyone need to know why the loser lost?NoYes
Could the effect differ by segment?No, or you do not careYes
How fast does the metric mature?ImmediatelySlowly, or with a novelty decay

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Free to use in your docs, decks and posts under CC BY 4.0, as long as you credit Koji with a link to this page. To embed it, paste this into your page:

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<a href="https://www.koji.so/visuals/bandit-or-ab-test-decision-table"><img src="https://www.koji.so/visuals/bandit-or-ab-test-decision-table/bandit-or-ab-test-decision-table.png" alt="Decision table with six questions for choosing a multi-armed bandit or a fixed A/B test, such as what you need at the end and how long the decision lives." width="1200" height="724" /></a>
<p>Source: <a href="https://www.koji.so/visuals/bandit-or-ab-test-decision-table">Bandit or A/B test? Six questions to decide</a>, Koji</p>