diff --git a/docs/get_started/first_isvc.md b/docs/get_started/first_isvc.md
index 331c2a051..922bc520d 100644
--- a/docs/get_started/first_isvc.md
+++ b/docs/get_started/first_isvc.md
@@ -186,6 +186,16 @@ Depending on your setup, use one of the following commands to curl the `Inferenc
     curl -v -H "Content-Type: application/json" http://sklearn-iris.kserve-test/v1/models/sklearn-iris:predict -d @./iris-input.json
     ```
 
+=== "Port forwarded service"
+
+    If you have done `Port Forward` above during testing, you can extract the inference
+    server URL from the status and make a curl request to it.
+
+    ```bash
+    SERVICE_HOSTNAME=$(kubectl get inferenceservice sklearn-iris -n kserve-test -o jsonpath='{.status.url}' | cut -d "/" -f 3)
+    curl -v -H "Host: ${SERVICE_HOSTNAME}" -H "Content-Type: application/json" "http://${INGRESS_HOST}:${INGRESS_PORT}/v1/models/sklearn-iris:predict" -d @./iris-input.json
+    ```
+
 You should see two predictions returned (i.e. `{"predictions": [1, 1]}`). Both sets of data points sent for inference correspond to the flower with index `1`.
 In this case, the model predicts that both flowers are "Iris Versicolour".