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[Docs Enhancement]: Decesion: clarify simulation vs real-time correlation in decisions documentation #22356

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[Docs Enhancement]: Decesion: clarify simulation vs real-time correlation in decisions documentation #22356

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Clarify distinction between simulation and real-time correlation in d…
sujitnewrelic Dec 4, 2025
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Update change-applied-intelligence-correlation-logic-decisions.mdx
sujitnewrelic Dec 4, 2025
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12 changes: 10 additions & 2 deletions ...rts/organize-alerts/change-applied-intelligence-correlation-logic-decisions.mdx
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Expand Up @@ -412,7 +412,7 @@ The time range is set to 20 minutes by default. You can adjust it between 1-120

#### Step 5: Testing your decision using a simulation [#basic-test-with-simulation]

After adding a filter logic, the system automatically runs a [simulation](#simulations) using the past 7 days of incident data.
After adding filter logic, the system automatically runs a [simulation](#simulations) using the past 7 days of incident data to help you validate the decision before applying it.

You can also manually trigger the simulation by clicking <DNT>**Simulate**</DNT>, which you may want to do if something is changed in the decision.

Expand Down Expand Up @@ -1295,9 +1295,17 @@ You can use the correlation assistant to more quickly analyze [incidents](/docs/
</Collapser>
</CollapserGroup>

### Simulation vs real-time correlation [#simulation-vs-decisions]

It's important to understand the difference between simulation and real-time correlation in decisions:

* <DNT>**Simulation**</DNT>: Simulation correlation involves analyzing two separate incidents to understand their relationship under simulated conditions. These incidents can originate from either the same underlying issue or from different issues. The focus is on determining potential causative factors or shared characteristics between individual incidents. Simulation helps you test and validate your correlation logic against historical data before applying it in real-time.

* <DNT>**Real-time correlation (decisions)**</DNT>: In contrast, real-time correlation targets distinct issues, with each issue potentially encompassing multiple incidents. The aim is to detect and connect patterns across these multiple incidents to identify underlying issues for more efficient correlation. Real-time correlation leverages live data streams, allowing for prompt identification and response to emerging problems.

### Using simulation [#simulations]

Simulation will test the logic against the last week of your data and show you how many correlations would have happened. Here's a breakdown of the decision preview information displayed when you simulate:
Simulation tests your correlation logic by analyzing two separate incidents from the last week of your data, showing you how many correlations would have happened. This allows you to validate your decision logic before it's applied to real-time correlation of issues. Here's a breakdown of the decision preview information displayed when you simulate:

* <DNT>**Potential correlation rate:**</DNT> The percentage of tested incidents this decision would have affected.
* <DNT>**Total created incidents:**</DNT> The number of incidents tested by this decision.
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