EPISODE · Jun 1, 2026 · 9 MIN
Accelerating Experimentation Velocity with Interleaving [Expedia]
from Snacks Weekly on Data Science · host Pan Wu
In this episode, we discuss Expedia’s need to evaluate many ranking ideas quickly so that A/B testing would not become a bottleneck. We explore their three-stage experimentation funnel: backtesting to remove weak candidates, interleaving to rapidly compare promising ones, and A/B testing to validate final business impact. What made this design approach effective was using the right evaluation tool at the right step instead of forcing A/B testing to do everything.For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/expedia-group-tech/interleaving-for-accelerated-testing-75adc644027b
What this episode covers
In this episode, we discuss Expedia’s need to evaluate many ranking ideas quickly so that A/B testing would not become a bottleneck. We explore their three-stage experimentation funnel: backtesting to remove weak candidates, interleaving to rapidly compare promising ones, and A/B testing to validate final business impact. What made this design approach effective was using the right evaluation tool at the right step instead of forcing A/B testing to do everything.For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/expedia-group-tech/interleaving-for-accelerated-testing-75adc644027b
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Accelerating Experimentation Velocity with Interleaving [Expedia]
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