数据科学家衡量产品成功的指南

If you’re a data scientist on a product team, much of your work involves getting a product ready for release. You may conduct exploratory data analyses to understand your product’s market, or build the data models and pipelines needed to power a new product feature, or design a machine learning model to unlock new product functionality. But your work doesn’t end once a product goes live. After a product is released, it’s your job to help identify if your product is a success.

如果你是一个产品团队的数据科学家，你的大部分工作涉及到为产品的发布做好准备。你可能会进行探索性的数据分析，以了解你的产品的市场，或建立所需的数据模型和管道，以支持一个新的产品功能，或设计一个机器学习模型来释放新的产品功能。但是，一旦产品上线，你的工作并没有结束。在产品发布后，你的工作是帮助确定你的产品是否成功。

When building a product, data scientists focus on measuring a product’s performance metrics, such as a:

在构建产品时，数据科学家专注于测量产品的性能指标，如A。

• Data model’s freshness
• 数据模型的新鲜度
• Data pipeline’s speed
• 数据管道的速度
• Machine learning model’s accuracy
• 机器学习模型的准确性

In contrast, when measuring product success, we need to focus on the product’s impact. In other words: Is the product doing what it set out to do? Now translating the nebulous concept of “product success” into concrete and relevant metrics is no easy task. At Shopify, our data scientists oversee various product releases every year and we’ve learned some best practices along the way for measuring product success.

相反，在衡量产品的成功时，我们需要关注产品的影响。换句话说。产品是否做到了它所设定的目标？现在，将 "产品成功 "这一模糊的概念转化为具体和相关的指标并不是一件容易的事。在Shopify，我们的数据科学家每年都会监督各种产品的发布，我们在这一过程中也学到了一些衡量产品成功的最佳实践。

Below, we’ll walk you through a framework we’ve created for outlining and measuring product success metrics. This framework will help you identify more approachable questions for measuring success, and enable you to turn your metrics into an effective measurement plan.

下面，我们将引导你了解我们为概述和衡量产品成功指标而创建的一个框架。这个框架将帮助你确定更多衡量成功的问题，并使你能够把你的指标变成一个有效的衡量计划。

Shopify’s product success metrics framework

Shopify的产品成功指标框架

1. Start At The End (User)

1.从终点开始（用户）

When measuring product success, it can be tempting to jump immediately to hashing out metrics based on product goals. But it’s better to start by zooming out and consi...