This document discusses A/B testing and how companies like Netflix, Airbnb, and Globo use it. A/B testing involves experimenting with changes by exposing different groups of users to variations and analyzing metrics to see what works best. It's important to have a hypothesis, trust dashboards and data scientists for analysis, and continue tests long enough to account for seasonal behaviors. Multivariate testing (MVT) can test multiple variables at once but has higher statistical requirements. Multi-armed bandit algorithms can help optimize experiments by minimizing exposure to weaker options over time through exploration vs exploitation of results.
11. When you have highly talented
individuals who have lots of
great ideas, it’s important to have a
framework where any new idea
can be developed and tested,
and data, notopinion, is used to
make decisions.
https://medium.com/netflix-techblog/a-b-testing-and-beyond-improving-the-netflix-streaming-experience-with-experimentation-and-data-5b0ae9295bdf
15. The outsideworld often has a much larger
effectonmetrics than product changes
do. Users can behave very differently
depending on the day of week, the time of
year, the weather, or whether they learned
about the website through an online ad or
found the site organically. Controlled
experimentsisolatetheimpact of the
product change while controlling for the
aforementioned external factors.
https://medium.com/airbnb-engineering/experiments-at-airbnb-e2db3abf39e7
18. We use it to validate our
products both in the UX area and
in the APIs. One of the steps we
are seeking and increasingly
integrate our A/B solution with
the platforms developed by other
teams.
25. When I get 99%
confidence can I stop
my experiment?
26. NO! This test says that the
difference between the
alternative and the control is
real. If you do not include the
time axis you lose the
seasonal behavior.
32. It is a skill that will notbeableto
escape, everyone should at
some time know how to metrify
their products in a correct way.
Until there, look for specialists
toguideyou.
46. AB MVT
High statistical
confidence
Does not depend
on too much
volume
Non-visible noise
may occur
Best combination
Population between
experiments must be
significant
Intercessions are
seen
55. Quem é Díaz-Canel, indicado para suceder Raúl Castro em Cuba?
Indicado para suceder Raúl Castro nasceu após a Revolução Cubana
https://g1.globo.com/mundo/noticia/quem-e-miguel-diaz-canel-o-discipulo-predileto-de-raul-castro-que-assume-o-poder-em-cuba.ghtml
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56. Viewability
Use of an optimization algorithm (MAB)
to set the best time to start
advertising loading on the page and
distribute users accordingly
ALTERNATIVA
A
ALTERNATIVA
B
ALTERNATIVA
C
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