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4 changes: 2 additions & 2 deletions docs/essentials/feature-experimentation.md
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Expand Up @@ -5,7 +5,7 @@ sidebar_position: 10

## Overview

At DevCycle we believe that experimentation should be a part of the natural lifecycle of all features. So no matter the [feature type](/essentials/features) selected, can be experimented on. Experiments can be as simple as comparing any target audiences against a metric, or can be fully [randomized](/essentials/targeting#serving-a-random-variation-experimentation--random-distribution) A/B tests using statistical methodologies.
At DevCycle we believe that experimentation should be a part of the natural lifecycle of all features. So no matter the [feature type](/essentials/features) selected, all features can be experimented on. Experiments can be as simple as comparing any target audiences against a metric, or can be fully [randomized](/essentials/targeting#serving-a-random-variation-experimentation--random-distribution) A/B tests using statistical methodologies.

This article outlines why and how to run and analyze experiments on your features within DevCycle.

Expand Down Expand Up @@ -85,4 +85,4 @@ Statistical significance has been achieved if this number is either 0% or 100%.
![Positive Metric Results](/feature-experiment-positive-results.png)

**Negative Results**
![Negative Metric Results](/feature-experiment-negative-results.png)
![Negative Metric Results](/feature-experiment-negative-results.png)