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In this episode, we explore how Pinterest tackled one of the toughest challenges in large-scale analytics — understanding why metrics move. We discuss how their engineering team built a root cause analysis platform that combines Slice and Dice, General Similarity, and Experiment Effects, with each component addressing a different part of the problem. This system brings together analytics, statistics, and engineering into an actionable workflow, empowering teams to respond faster and with greater confidence.
For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/pinterest-engineering/the-quest-to-understand-metric-movements-8ab12ae97cda
By Pan Wu5
99 ratings
In this episode, we explore how Pinterest tackled one of the toughest challenges in large-scale analytics — understanding why metrics move. We discuss how their engineering team built a root cause analysis platform that combines Slice and Dice, General Similarity, and Experiment Effects, with each component addressing a different part of the problem. This system brings together analytics, statistics, and engineering into an actionable workflow, empowering teams to respond faster and with greater confidence.
For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/pinterest-engineering/the-quest-to-understand-metric-movements-8ab12ae97cda

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