diff --git a/EndToEndExamples/DASHBOARD.md b/EndToEndExamples/DASHBOARD.md
index 5e1589f..1e96e8e 100644
--- a/EndToEndExamples/DASHBOARD.md
+++ b/EndToEndExamples/DASHBOARD.md
@@ -1,27 +1,31 @@
 # Importing the Grafana Dashboard
 
-Before you import the dashboard, you need to update the `grafana.json` file for your environment:
+Before you begin the process of importing the Grafana dashboard, make sure you have the following prerequisites:
+- The SAS Event Stream Processing and Grafana services running on the same cluster.
+- The SAS Event Stream Processing Data Source Plug-in for Grafana installed and configured. For more information, see [SAS Event Stream Processing Data Source Plug-in for Grafana](https://github.com/sassoftware/grafana-esp-plugin/blob/main/README.md#add-the-sas-event-stream-processing-data-source).
+- A data source configured in Grafana for the SAS Event Stream Processing Studio application. For more information, see [Add the SAS Event Stream Processing Data Source](https://github.com/sassoftware/grafana-esp-plugin/blob/main/README.md#add-the-sas-event-stream-processing-data-source).
+- The Example ESP Project has been installed onto the SAS Event Stream Processing Studio application and is running in test mode. For more information, see [Using the Examples](../README.md#using-the-examples).
+
+Before you import the dashboard, you must update `grafana.json` for your environment because the ESP Server connection URL is different in each cluster.
 
 1. Download the `grafana.json` file to your system.
-2. Update any placeholders in the dashboard file. Depending on your data source, follow the appropriate steps:
-- If you are using an internal discovery service, replace all instances of `%NAMESPACE%` with the Kubernetes namespace where SAS Event Stream Processing and Grafana are running. You can do this manually or through your command line interface (CLI).
-    - For PowerShell, use the following command: 
+2. Find the Kubernetes namespace where SAS Event Stream Processing and Grafana are running.
+3. You can get the namespace from SAS Event Stream Processing Studio or from your command line interface (CLI).
+   - In ESP Studio, open a project. In the toolbar, open the `ESP server` drop-down list. The namespace appears next to the Kubernetes Cluster icon.
+   - In a CLI, use the following command:
+   ```
+   kubectl get deployment sas-event-stream-processing-studio-app -o jsonpath="{.metadata.namespace}"
+   ```
+4. Replace all instances of `%NAMESPACE%` with the Kubernetes namespace.
+5. You can do this manually or through your command line interface (CLI).
+    - For PowerShell, use the following command:
       ```
       (Get-Content grafana.json) -replace '%NAMESPACE%', 'your-namespace' | Set-Content grafana.json
       ```
-    - For bash, use the following command: 
+    - For bash, use the following command:
       ```
       sed -i 's/%NAMESPACE%/your-namespace/g' grafana.json
       ```
-- If you are using an external discovery service URL, replace all instances of `%DOMAIN%` with the domain name where your ESP Project is running. You can do this manually or through your CLI.
-    - For PowerShell, use the following command: 
-      ```
-      (Get-Content grafana.json) -replace '%DOMAIN%', 'my.server.com' | Set-Content grafana.json
-      ```
-    - For bash, use the following command: 
-      ```
-      sed -i 's/%DOMAIN%/my.server.com/g' grafana.json
-      ```
 
 After you have updated your `grafana.json` file, you must import the dashboard into Grafana:
 
@@ -29,4 +33,9 @@ After you have updated your `grafana.json` file, you must import the dashboard i
 2. Click **New**.
 3. From the drop-down list, select **Import**.
 4. Click **Upload dashboard JSON file** and select your updated `grafana.json` file.
-5. Click **Import**.
+5. Enter a Name for the dashboard.
+6. Select a Folder for the dashboard.
+7. If required, change the Unique identifier (UID) by clicking the **Change uid** button and giving the dashboard a unique identifier.
+8. From the SAS Event Stream Processing Datasource drop-down list, select the datasource that you configured with the SAS Event Stream Processing Studio application.
+9. Click **Import**.
+