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Data Science & Analytics vocabulary · Metrics and KPIs

Metric

Meaning in data science & analytics, with examples

/ˈmetrɪk/nounCore term

In data science & analytics, metric means: A number that measures something specific about a product, business or process, such as daily sign-ups, average order value or page load time.

In Turkish: metrik, ölçüt

How it is used

You define, track, monitor, report and improve a metric. Teams often disagree about how a metric is defined, so analysts write down the exact formula. 'Success metric' and 'guardrail metric' are common in experiments.

Example sentences

  1. Which metric are we actually trying to move with this feature?

  2. We changed how the metric is calculated, so the numbers before May aren't comparable.

Common collocations

  • define a metric
  • track a metric
  • success metric
  • guardrail metric
  • move the metric
  • KPIShort for key performance indicator: one of a small number of metrics that a company or team has chosen to measure progress towards its main goals.
  • north star metricThe single metric that a company believes best captures the core value its product gives customers, used to align teams around one long-term goal.
  • dashboardA screen that shows the most important charts and numbers about a business or system in one place, usually updated automatically.
  • conversion rateThe percentage of users who complete a desired action, such as buying or signing up, out of all the users who had the chance to do it.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Metrics and KPIs

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