> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kameleoon.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Analyze a rule's results
> Access a delivery rule or experiment's own Results page, and learn how the data shown differs depending on the rule's type.
A delivery rule or experiment has its own Results page, showing data specific to that rule rather than the flag as a whole.
## Access a rule's results
Switch to Expanded view on the Feature flags dashboard's Overview tab, then click the results icon on the rule you want to analyze. Read [Find a feature flag](../../../experimentation/feature-experimentation/create-and-manage-flags/manage-your-feature-flags#find-a-feature-flag) to learn how to find a flag.
That page follows the same navigation structure whether it belongs to a delivery rule or an experiment, though the data it shows differs by rule type. Read [Results page structure](../results-page/results-page-structure) to learn how to navigate it.
You need to assign at least one [goal](../../../experimentation/feature-experimentation/track-your-feature-experiments/create-goals-for-feature-flags) to a rule before you can access its Results page.
## How rule type affects a rule's results
A rule's own Results page shows different data depending on its type.
**Targeted Delivery and Progressive Delivery rules** track adoption of the feature you're rolling out, not a comparison between variations. They only track the visitors who received the variation the rule serves. The Results page may label that variation **Control** by default, but there's no second variation to compare it against.
The goal table shows results for only the served variation, with the **Reliability** and **Improvement rate** columns left blank since there's no other variation to compare it against.
The chart follows the same pattern, plotting a single line for the served variation instead of comparing multiple variations.
**Experimentation rules** compare variations against each other to determine which performs best, so the Results page shows data for every variation side by side, including a **Reliability** and **Improvement rate** for each one.
