diff --git a/cosmos/operators/watcher.py b/cosmos/operators/watcher.py
index d440276af5..8d24756916 100644
--- a/cosmos/operators/watcher.py
+++ b/cosmos/operators/watcher.py
@@ -103,7 +103,7 @@ def __init__(self, *args: Any, **kwargs: Any) -> None:
         default_args["retries"] = 0
         kwargs["default_args"] = default_args
         kwargs["retries"] = 0
-        kwargs["queue"] = kwargs.get("queue") or watcher_dbt_execution_queue or DEFAULT_QUEUE
+        kwargs["queue"] = watcher_dbt_execution_queue or kwargs.get("queue") or DEFAULT_QUEUE
         super().__init__(task_id=task_id, *args, **kwargs)
 
         if self.invocation_mode == InvocationMode.SUBPROCESS:
diff --git a/docs/getting_started/watcher-execution-mode.rst b/docs/getting_started/watcher-execution-mode.rst
index 2c24ae85d0..af7589650c 100644
--- a/docs/getting_started/watcher-execution-mode.rst
+++ b/docs/getting_started/watcher-execution-mode.rst
@@ -281,6 +281,14 @@ Or via environment variable:
 - For watcher consumer tasks (``DbtConsumerWatcherSensor``), from their first retry onwards, if ``watcher_dbt_execution_queue`` is configured, the task is automatically assigned to the specified queue
 - This behavior is enforced by Cosmos via an `Airflow cluster policy <https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/cluster-policies.html>`_ (``task_instance_mutation_hook``) that mutates ``task_instance.queue`` at runtime for retry attempts
 
+.. note::
+
+  For producer task execution, we encourage users to set the ``watcher_dbt_execution_queue`` configuration. If, for any reason, users prefer to use a different node pool for producer tasks without setting an Airflow Cluster Policy, they can set the ``queue`` argument via ``setup_operator_args``. This, however, would not solve the problem of assigning consumer retries to nodes that may have more memory and CPU available.
+
+  The effective precedence is:
+
+  ``watcher_dbt_execution_queue`` > explicit ``queue`` on the producer (from ``setup_operator_args``) > ``operator_args`` > your Airflow deployment’s default queue.
+
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 Installation of Airflow and dbt
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
diff --git a/tests/operators/test_watcher.py b/tests/operators/test_watcher.py
index 20b6c6b4a1..ce1c2bedb9 100644
--- a/tests/operators/test_watcher.py
+++ b/tests/operators/test_watcher.py
@@ -133,7 +133,7 @@ def test_dbt_producer_watcher_operator_queue(queue_override, expected_queue):
 def test_producer_queue_from_setup_operator_args_when_both_set():
     """
     When both setup_operator_args queue and watcher_dbt_execution_queue are set,
-    producer should use queue from setup_operator_args.
+    producer should use queue from watcher_dbt_execution_queue.
     """
     with patch("cosmos.operators.watcher.watcher_dbt_execution_queue", "watcher_queue"):
         watcher_dag = DbtDag(
@@ -148,26 +148,29 @@ def test_producer_queue_from_setup_operator_args_when_both_set():
             render_config=RenderConfig(emit_datasets=False),
         )
     producer = watcher_dag.task_dict["dbt_producer_watcher"]
-    assert producer.queue == "dbt_producer_task_queue"
+    assert producer.queue == "watcher_queue"
 
 
 @pytest.mark.integration
-def test_producer_queue_from_watcher_dbt_execution_queue_when_only_watcher_set():
+def test_producer_queue_from_setup_operator_args():
     """
-    When only watcher_dbt_execution_queue is set (no queue in setup_operator_args),
-    producer should use queue from watcher_dbt_execution_queue.
+    When only setup_operator_args is set (no queue in watcher_dbt_execution_queue),
+    producer should use queue from setup_operator_args.
     """
-    with patch("cosmos.operators.watcher.watcher_dbt_execution_queue", "watcher_only_queue"):
+    with patch("cosmos.operators.watcher.watcher_dbt_execution_queue", None):
         watcher_dag = DbtDag(
             project_config=project_config,
             profile_config=profile_config,
             start_date=datetime(2023, 1, 1),
             dag_id="watcher_dag_watcher_queue_only",
-            execution_config=ExecutionConfig(execution_mode=ExecutionMode.WATCHER),
+            execution_config=ExecutionConfig(
+                execution_mode=ExecutionMode.WATCHER,
+                setup_operator_args={"queue": "dbt_producer_task_queue"},
+            ),
             render_config=RenderConfig(emit_datasets=False),
         )
     producer = watcher_dag.task_dict["dbt_producer_watcher"]
-    assert producer.queue == "watcher_only_queue"
+    assert producer.queue == "dbt_producer_task_queue"
 
 
 def test_dbt_producer_watcher_operator_priority_weight_override():