---
title: Concepts
description: >-
  Core concepts for configuring subjects, exposures, warehouse queries, and
  cumulative experiment impact.
breadcrumbs: Docs > Experiments > Concepts
---

> For the complete documentation index, see [llms.txt](https://docs.datadoghq.com/llms.txt).

# Concepts

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## Overview{% #overview %}

These pages cover foundational Experiments concepts: how subjects are randomized, how to analyze experiments randomized outside Datadog Feature Flags, how to optimize warehouse-native queries, and how to measure cumulative impact across multiple experiments.

- [Subject Types: Configure the units Datadog uses to randomize experiments and join exposures to metrics](https://docs.datadoghq.com/experiments/concepts/subject_types.md)
- [Exposure SQL Models: Supply exposure data from your warehouse for bring-your-own randomization](https://docs.datadoghq.com/experiments/concepts/exposure_sql.md)
- [SQL Template Variables: Reduce the data scanned by warehouse-native experiment pipelines](https://docs.datadoghq.com/experiments/concepts/sql_template_variables.md)
- [Cumulative Impact: Aggregate the noise-adjusted effect of experiments run against a metric over time](https://docs.datadoghq.com/experiments/concepts/cumulative_impact.md)