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Update metrics.md (#634)
updating wording for better match to terms used in coming redesign.
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docs/deep-dives/jetstream/metrics.md

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## How do I add a metric to my experiment?
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A small set of critical guardrail metrics (called Core Firefox Metrics in Nimbus Console)
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specific to each platform is run by default for each experiment.
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A small set of default, critical guardrail metrics that are specific to each platform are run by default for each experiment. Sometimes also called Core metrics.
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These are defined for each platform in the metric-hub repository in [jetstream/defaults/](https://github.com/mozilla/metric-hub/tree/main/jetstream/defaults/). Look at the file for your platform. At the top you will see the metrics collected and the timeframe they are available: daily, weekly, or overall (at the end of the experiment). For help understanding any aspect of guardrail metrics on your platform - link to the file and ask in #ask-experimenter.
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[Outcomes](https://experimenter.info/deep-dives/jetstream/outcomes) are collections of metrics that relate to each other. You can associate an Outcome with your experiment in the Experiment Console - Metrics section.
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[Pre-defined Metrics, AKA Outcomes](https://experimenter.info/deep-dives/jetstream/outcomes) are collections of metrics that relate to each other. You can associate these pre-defined metrics (outcomes) with your experiment in the Experiment Console - Metrics section.
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Data scientists can extend and define outcomes in the outcomes path of the
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[`metric-hub`](https://github.com/mozilla/metric-hub/tree/main/jetstream/outcomes) repository. See what [Outcomes are available](https://mozilla.github.io/metric-hub/outcomes/fenix/default-browser/).
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If the metrics you need are not covered by Guardrail/Core metrics or existing Outcomes - you can add a metric to your experiment by working with a data scientist to write a [custom configuration](https://experimenter.info/system-architecture#custom-configuration-aka-jetstream-configuration-files) for your experiment.
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If the metrics you need are not covered by Default (guardrail) or existing Pre-defined Outcomes - you can add a metric to your experiment by working with a data scientist to write a [custom configuration](https://experimenter.info/system-architecture#custom-configuration-aka-jetstream-configuration-files) for your experiment.
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