diff --git a/athina/helpers/step_helper.py b/athina/helpers/step_helper.py
new file mode 100644
index 0000000..f478d85
--- /dev/null
+++ b/athina/helpers/step_helper.py
@@ -0,0 +1,10 @@
+import json
+
+class StepHelper:
+    
+    @staticmethod
+    def prepare_input_data(data):
+        return {
+            key: json.dumps(value) if isinstance(value, (list, dict)) else value
+            for key, value in data.items()
+        }
\ No newline at end of file
diff --git a/athina/steps/loop.py b/athina/steps/loop.py
index 869c903..f25dce2 100644
--- a/athina/steps/loop.py
+++ b/athina/steps/loop.py
@@ -1,8 +1,11 @@
 import asyncio
+import json
 from typing import Dict, List, Any, Optional
 from athina.steps.base import Step
 from concurrent.futures import ThreadPoolExecutor
-
+from jinja2 import Environment
+from athina.helpers.jinja_helper import PreserveUndefined
+from athina.helpers.step_helper import StepHelper
 
 class Loop(Step):
     loop_type: str
@@ -50,7 +53,16 @@ async def _execute_loop(self, inputs: Dict) -> Dict:
         results = []
 
         if self.loop_type == "map":
-            items = inputs.get(self.loop_input, [])
+            env = Environment(
+                variable_start_string="{{",
+                variable_end_string="}}",
+                undefined=PreserveUndefined,
+            )
+            
+            loop_input_template = env.from_string(self.loop_input)
+            prepared_input_data = StepHelper.prepare_input_data(inputs)
+            loop_input = loop_input_template.render(**prepared_input_data)
+            items = json.loads(loop_input, strict=False) if loop_input else None
             if not isinstance(items, list):
                 return {"status": "error", "data": "Input not of type list", "metadata": {}}
 
diff --git a/pyproject.toml b/pyproject.toml
index 16a4f93..b34c689 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "athina"
-version = "1.7.13"
+version = "1.7.14"
 description = "Python SDK to configure and run evaluations for your LLM-based application"
 authors = ["Shiv Sakhuja <shiv@athina.ai>", "Akshat Gupta <akshat@athina.ai>", "Vivek Aditya <vivek@athina.ai>", "Akhil Bisht <akhil@athina.ai>"]
 readme = "README.md"