> For the complete documentation index, see [llms.txt](https://developer.harness.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.harness.io/feature-management-experimentation/use-fme.md).

# Use FME

- [Feature Management](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management.md): Learn about feature management in Harness FME.
- [Manage Feature Flags](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/manage-feature-flags.md)
- [Using essential scheduling](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/manage-feature-flags/using-essential-scheduling.md)
- [Set the alert baseline treatment](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/manage-feature-flags/set-the-alert-baseline-treatment.md)
- [Use the kill switch](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/manage-feature-flags/use-the-kill-switch.md)
- [Reallocate](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/manage-feature-flags/reallocate-traffic.md)
- [Using flag sets to boost SDK performance](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/manage-feature-flags/using-flag-sets-to-boost-sdk-performance.md)
- [Targeting an Account or Organization](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/manage-feature-flags/targeting-an-account.md): Learn how to effectively target feature flags by accounts or organizations (such as schools, hospitals, departments, or any group with a unique key) instead of individual users.
- [Viewing User Treatments](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/manage-feature-flags/viewing-user-treatments.md): Learn how to determine which feature flag treatments a user currently sees, what they will see on subsequent visits, and how to review their past treatment history using the Split dashboard and data t
- [Maintaining Consistent Treatments](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/manage-feature-flags/maintaining-consistent-treatments.md): Learn how to ensure users maintain the same treatment over time, even if rollout plans change. Explore practical approaches using attributes, creation dates, and state storage to maintain treatment co
- [Archive a feature flag](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/manage-feature-flags/archive-a-feature-flag.md): Archive feature flags to remove them from active views in Harness fME and stop flag definitions from flowing to your SDKs without permanently deleting them.
- [Monitoring & Analysis](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/monitoring-and-analysis.md)
- [Review customer dashboard](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/monitoring-and-analysis/customer-dashboard.md)
- [Impressions](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/monitoring-and-analysis/impressions.md)
- [Live tail](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/monitoring-and-analysis/live-tail.md)
- [Export data](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/monitoring-and-analysis/export-data.md)
- [Setup](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup.md)
- [Create a Feature Flag](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/create-a-feature-flag.md): Learn how to create a feature flag in Harness FME.
- [Feature Management Setup](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/index.md): Get started with creating feature flags, defining treatments, setting default and control treatments, creating rollout plans, and leveraging dynamic configuration to tailor your feature management set
- [Create a rollout plan](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/create-a-rollout-plan.md): Learn how to create a rollout plan in Harness FME.
- [Define feature flag treatments and targeting](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/define-feature-flag-treatments-and-targeting.md)
- [Edit treatments](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/edit-treatments.md)
- [Dynamic configuration](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/dynamic-configurations.md): Learn how to use Dynamic Configuration in feature flags, enabling you to deliver flexible, fine-tuned experiences by configuring flag treatments with customizable parameters. Learn how to set up, mana
- [Control treatment](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/control-treatment.md)
- [Set the default treatment](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/default-treatment.md): Learn about the default treatment in Harness FME.
- [Fallback treatment](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/fallback-treatment.md): Learn how to configure global and per-flag fallback treatments in Harness FME SDKs to ensure predictable feature flag evaluations when the SDK cannot determine a value.
- [Flag Statuses](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/assign-flag-status.md): Learn about feature flag statuses in Harness FME.
- [Rollout Board](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/rollout-board.md): Learn about the rollout board in Harness FME.
- [Approval flows](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/setup/approval-flows.md)
- [Targeting](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/targeting.md)
- [Create a segment](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/targeting/segments.md): Learn how to create, delete, and manage segments in Harness FME.
- [Target segments](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/targeting/target-segments.md): Learn how to use segments to target feature flags, including Standard, Large, and Rule-based segments.
- [Limit Feature Flag Exposure](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/targeting/limiting-exposure.md): Learn how to limit the percentage of traffic evaluated by a feature flag's targeting rules to safely roll out features or run experiments.
- [Targeting With Custom Attributes](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/targeting/target-with-custom-attributes.md): Learn how to add custom attributes to create dynamic, targeted feature rollout plans in Harness FME.
- [Target with dependencies](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/targeting/target-with-dependencies.md)
- [Targeting](https://developer.harness.io/feature-management-experimentation/use-fme/feature-management/targeting/index.md): Master targeting strategies by using custom attributes, segments, dependencies, and exposure limits to precisely control which users see which features and when.
- [Release Monitoring](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring.md)
- [Overview](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/overview.md): Learn about Release Monitoring capabilities in Harness FME.
- [Quickstart](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/quickstart.md): Learn how to get started with Release Monitoring.
- [Attribution and exclusion](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/attribution-and-exclusion.md)
- [Alerts](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/alerts.md)
- [Set the alert baseline treatment](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/alerts/set-the-alert-baseline-treatment.md)
- [Alerts in Harness FME](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/alerts/index.md): Learn how to monitor feature flags and metrics with alerts in Harness FME, including automatic significance alerts and threshold-based alert policies across environments.
- [Traffic insights](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/alerts/traffic-insights.md)
- [View triggered alerts](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/alerts/view-triggered-alerts.md)
- [Troubleshooting alerts](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/alerts/troubleshooting.md)
- [Alert Policies](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/alerts/alert-policies.md)
- [Monitoring window](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/alerts/alert-policies/monitoring-window.md)
- [Alert policies](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/alerts/alert-policies/index.md)
- [Automated Alerts And Notifications](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/alerts/automated-alerts-and-notifications.md)
- [Automated alerts and notifications](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/alerts/automated-alerts-and-notifications/index.md)
- [Events](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/events.md)
- [Setup](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/events/setup.md)
- [Events](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/events/index.md)
- [Metrics](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/metrics.md)
- [Statistical significance](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/metrics/statistical-significance.md): Understand statistical significance, p-values, hypothesis testing, and how to interpret experiment results in Harness FME.
- [Metrics](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/metrics/index.md)
- [Categories](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/metrics/categories.md)
- [Guardrail metrics](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/metrics/categories/guardrail-metrics.md)
- [Metric categorization](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/metrics/categories/index.md)
- [Setup](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/metrics/setup.md)
- [Setup](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/metrics/setup/index.md)
- [Metric capping](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/metrics/setup/capping.md)
- [Filtering your metrics](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/metrics/setup/filtering.md)
- [Creating a Metric Alert Policy](https://developer.harness.io/feature-management-experimentation/use-fme/release-monitoring/metrics/setup/metric-alert-policy.md)
- [Cloud Experimentation](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation.md)
- [Cloud Experimentation Overview](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/overview.md): Learn how experiments work in Harness FME, including best practices for planning, design, statistical rigor, and interpreting results.
- [Experimentation Foundations Playbook](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/foundations.md): Foundational frameworks, workflows, and planning resources for designing, prioritizing, launching, and analyzing experiments in Harness FME.
- [Experimentation Best Practices](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/best-practices.md): Best practices for planning, designing, and interpreting experiments in Harness FME.
- [Events](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/events.md)
- [Setup](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/events/setup.md)
- [Events](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/events/index.md)
- [Experiment Results](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results.md)
- [Reallocating traffic](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/reallocate-traffic.md)
- [Experiment results](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/index.md)
- [Analyzing Experiment Results](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/analyzing-experiment-results.md)
- [Attribution and exclusion](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/analyzing-experiment-results/attribution-and-exclusion.md)
- [Analyzing experiment results](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/analyzing-experiment-results/index.md): Learn how to analyze experiment results, compare treatments to a baseline, and use charts to understand metric impact.
- [Sample ratio check](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/analyzing-experiment-results/sample-ratio-check.md)
- [Health check](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/analyzing-experiment-results/health-check.md)
- [Dimensional analysis](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/analyzing-experiment-results/dimensional-analysis.md)
- [Review period check](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/analyzing-experiment-results/review-period-check.md)
- [Sharing Experiment Results](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/sharing-experiment-results.md)
- [Sharing experiment results](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/sharing-experiment-results/index.md)
- [Viewing Experiment Results](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/viewing-experiment-results.md)
- [Metric details and trends](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/viewing-experiment-results/metric-details-and-trends.md): Understand how your metrics behave over time, how to interpret statistical outputs, and why results may differ between Experiment dashboards and Feature flag views.
- [Viewing experiment results](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/viewing-experiment-results/index.md)
- [Understanding results](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/viewing-experiment-results/metrics-impact-cards.md): Learn how to interpret metric impact card states in Harness FME experiments, including desired, undesired, inconclusive, and error states.
- [Metric calculation schedule](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/viewing-experiment-results/metric-calculation-schedule.md)
- [Randomization and stickiness](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/experiment-results/viewing-experiment-results/randomization-and-stickiness.md)
- [Key Concepts](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/key-concepts.md)
- [Statistical significance](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/key-concepts/statistical-significance.md)
- [Key concepts](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/key-concepts/index.md)
- [P-value](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/key-concepts/p-value.md)
- [Frequentist vs. Bayesian](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/key-concepts/frequentist-vs-bayesian.md)
- [Sequential vs. Fixed horizon testing](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/key-concepts/fixed-horizon.md)
- [Multiple Comparison Correction (MCC)](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/key-concepts/multiple-comparison-correction.md): Learn how Harness FME applies multiple comparison correction (MCC) across experiment metrics, including key, guardrail, and supporting metrics.
- [Sample size calculator](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/key-concepts/sample-size-calculator.md)
- [Metrics](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/metrics.md)
- [Alert policies](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/metrics/alert-policies.md)
- [Metrics](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/metrics/index.md)
- [Categories](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/metrics/categories.md)
- [Guardrail metrics](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/metrics/categories/guardrail-metrics.md)
- [Metric categorization](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/metrics/categories/index.md)
- [Setup](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/metrics/setup.md)
- [Filtering your metrics](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/metrics/setup/filtering.md)
- [Setup](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/metrics/setup/index.md)
- [Metric capping](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/metrics/setup/capping.md)
- [Setup](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup.md)
- [Experiment scope](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/experiment-scope.md)
- [Experiment hypothesis](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/experiment-hypothesis.md)
- [Experiment settings](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/experiment-settings.md)
- [Running an A/A test](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/a-a-testing.md)
- [Setup](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/index.md)
- [Mutually exclusive experiments](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/mutually-exclusive-experiments.md)
- [Anonymous and logged in users](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/anonymous-and-logged-in-users.md)
- [Power analysis](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/power-analysis.md)
- [Metric Selection](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/metric-selection.md)
- [Selecting key metrics](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/metric-selection/key-metrics.md)
- [Selecting guardrail metrics](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/metric-selection/guardrail-metrics.md)
- [Selecting supporting metrics](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/metric-selection/supporting-metrics.md)
- [Metric selection](https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/setup/metric-selection/index.md)
- [Warehouse Native Experimentation](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation.md): Learn how to run experiments in your data warehouse using Harness Feature Management & Experimentation (FME).
- [Experiment Results](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/experiment-results.md)
- [View Warehouse Native Experiment Results in Harness FME](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/experiment-results/index.md): Access your experiment details and results in Harness FME.
- [Analyze Warehouse Native Experiment Results in Harness FME](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/experiment-results/analyze.md): Learn how to analyze warehouse-native experiment results and compare treatments in Harness FME.
- [Health Checks for Warehouse Native Experiments](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/experiment-results/health-check.md)
- [Integrations](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/integrations.md)
- [Connect Snowflake](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/integrations/snowflake.md): Learn how to integrate Snowflake with Harness FME to enable Warehouse Native Experimentation.
- [Connect Amazon Redshift](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/integrations/amazon-redshift.md): Learn how to integrate Amazon Redshift with Harness FME to enable Warehouse Native Experimentation.
- [Warehouse Native Experimentation Integrations](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/integrations/index.md): Learn how to connect your data warehouse with Harness FME to setup Warehouse Native Experimentation.
- [Connect Google BigQuery](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/integrations/bigquery.md): Learn how to integrate Google BigQuery with Harness FME to enable Warehouse Native Experimentation.
- [Setup](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/setup.md)
- [Preparing Assignment Source Tables for Warehouse Native Experimentation](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/setup/assignment-sources.md): Learn how to prepare your assignment source tables in your data warehouse for Warehouse Native Experimentation.
- [Preparing Metric Source Tables for Warehouse Native Experimentation](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/setup/metric-sources.md): Learn how to prepare your metric source tables in your data warehouse for Warehouse Native Experimentation.
- [Configuring Assignment Sources for Warehouse Native Experimentation](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/setup/configure-assignments.md): Learn how to configure your assignment source tables in your data warehouse for Warehouse Native Experimentation.
- [Setup](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/setup/index.md): Learn how to set up assignment and metric sources to run FME experiments in your data warehouse using Warehouse Native.
- [Configuring Metric Sources for Warehouse Native Experimentation](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/setup/configure-metrics.md): Learn how to configure your metric source tables in your data warehouse for Warehouse Native Experimentation.
- [Create a Metric for Warehouse Native Experimentation in Harness FME](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/setup/metrics.md): Learn how to create a metric, select a metric source, and set calculation logic for Warehouse Native Experimentation..
- [Create a Warehouse Native Experiment in Harness FME](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/setup/experiments.md): Learn how to create an experiment for warehouse-native experimentation in Harness FME.
- [Release Agent](https://developer.harness.io/feature-management-experimentation/use-fme/release-agent.md): Learn about the Release Agent capabilities in Harness FME.
- [Harness Feature Management & Experimentation (FME) MCP Tools](https://developer.harness.io/feature-management-experimentation/use-fme/release-agent/mcp-tools.md): Learn how to explore and interact with feature flags using the Harness MCP tools in your AI-powered environments.