diff --git a/docs/overview.md b/docs/overview.md
index be88f0315b6..93aac99c5eb 100644
--- a/docs/overview.md
+++ b/docs/overview.md
@@ -103,7 +103,7 @@ To batch-run the model while varying, for example, the n_agents parameter, you'd
 import mesa
 
 parameters = {"n_agents": range(1, 20)}
-mesa.batch_run(
+mesa.batchrunner.batch_run(
     MyModel,
     parameters,
     max_steps=10,
diff --git a/docs/tutorials/intro_tutorial.ipynb b/docs/tutorials/intro_tutorial.ipynb
index c2c83c894b5..ce40b3d3333 100644
--- a/docs/tutorials/intro_tutorial.ipynb
+++ b/docs/tutorials/intro_tutorial.ipynb
@@ -159,6 +159,7 @@
    "outputs": [],
    "source": [
     "import mesa\n",
+    "from mesa.batchrunner import batch_run\n",
     "from mesa.datacollection import DataCollector\n",
     "\n",
     "# Data visualization tools.\n",
@@ -1166,7 +1167,7 @@
    "source": [
     "params = {\"width\": 10, \"height\": 10, \"N\": range(5, 100, 5)}\n",
     "\n",
-    "results = mesa.batch_run(\n",
+    "results = batch_run(\n",
     "    MoneyModel,\n",
     "    parameters=params,\n",
     "    iterations=7,\n",
@@ -1315,7 +1316,7 @@
    "source": [
     "params = {\"width\": 10, \"height\": 10, \"N\": [5, 10, 20, 40, 80]}\n",
     "\n",
-    "results_5s = mesa.batch_run(\n",
+    "results_5s = batch_run(\n",
     "    MoneyModel,\n",
     "    parameters=params,\n",
     "    iterations=100,\n",