diff --git a/apiserver/plane/bgtasks/analytic_plot_export.py b/apiserver/plane/bgtasks/analytic_plot_export.py
index ca8ee1ab6..67df70792 100644
--- a/apiserver/plane/bgtasks/analytic_plot_export.py
+++ b/apiserver/plane/bgtasks/analytic_plot_export.py
@@ -28,7 +28,7 @@ row_mapping = {
     "created_at": "Created At",
     "issue_count": "Issue Count",
     "priority": "Priority",
-    "effort": "Effort",
+    "estimate": "Estimate",
 }
 
 
@@ -46,7 +46,7 @@ def analytic_export_task(email, data, slug):
             queryset=queryset, x_axis=x_axis, y_axis=y_axis, segment=segment
         )
 
-        key = "count" if y_axis == "issue_count" else "effort"
+        key = "count" if y_axis == "issue_count" else "estimate"
 
         if segment:
             segment_zero = []
@@ -114,7 +114,7 @@ def analytic_export_task(email, data, slug):
                             item,
                             distribution.get(item)[0].get("count")
                             if y_axis == "issue_count"
-                            else distribution.get(item)[0].get("effort"),
+                            else distribution.get(item)[0].get("estimate"),
                         ]
                     )
                 )
diff --git a/apiserver/plane/utils/analytics_plot.py b/apiserver/plane/utils/analytics_plot.py
index 838f535ff..7106769a6 100644
--- a/apiserver/plane/utils/analytics_plot.py
+++ b/apiserver/plane/utils/analytics_plot.py
@@ -50,14 +50,14 @@ def build_graph_plot(queryset, x_axis, y_axis, segment=None):
 
         queryset = queryset.annotate(count=Count("*")).order_by("dimension")
 
-    if y_axis == "effort":
-        queryset = queryset.annotate(effort=Sum("estimate_point")).order_by(x_axis)
+    if y_axis == "estimate":
+        queryset = queryset.annotate(estimate=Sum("estimate_point")).order_by(x_axis)
         if segment:
             queryset = queryset.annotate(segment=F(segment)).values(
-                "dimension", "segment", "effort"
+                "dimension", "segment", "estimate"
             )
         else:
-            queryset = queryset.values("dimension", "effort")
+            queryset = queryset.values("dimension", "estimate")
 
     result_values = list(queryset)
     grouped_data = {}