diff --git a/deploy-board/deploy_board/templates/groups/launch_rate.tmpl b/deploy-board/deploy_board/templates/groups/launch_rate.tmpl
index 331600f35e..45d7a91b3d 100644
--- a/deploy-board/deploy_board/templates/groups/launch_rate.tmpl
+++ b/deploy-board/deploy_board/templates/groups/launch_rate.tmpl
@@ -10,11 +10,11 @@
             var data = new google.visualization.DataTable();
             data.addColumn("datetime", "Date");
 
-            var failure_count_name = "Launch Failure Rate";
+            var failure_count_name = "Launch Failure %";
             data.addColumn("number", failure_count_name);
 
             var options = {
-                title: 'Launch Failure Rate',
+                title: 'Launch Failure %',
                 titleFontSize: 15,
                 height: 300,
                 min: 0,
@@ -43,7 +43,7 @@
                         lineWidth: 2}
                 },
                 vAxes: {
-                    0: {title: 'Failure Rate',
+                    0: {title: 'Failure %',
                         titleTextStyle: {italic: false}}
                 },
                 interpolateNulls: true,
diff --git a/deploy-board/deploy_board/webapp/util_views.py b/deploy-board/deploy_board/webapp/util_views.py
index 91d99b209d..c6cb6f6357 100644
--- a/deploy-board/deploy_board/webapp/util_views.py
+++ b/deploy-board/deploy_board/webapp/util_views.py
@@ -189,13 +189,14 @@ def get_launch_rate(request, group_name):
     try:
         util_data["metric_names"] = []
         for env in envs:
-            metric_name = "zimsum:rate:teletraan.{}.{}.first_deploy{{success=false}}".format(
-                env["envName"], env["stageName"])
+            metric_name = "divideSeries(zimsum:teletraan.{env}.{stage}.first_deploy{{success=false}},zimsum:teletraan.{env}.{stage}.first_deploy)".format(
+                env=env["envName"], stage=env["stageName"]
+            )
             rate_data_points = autoscaling_metrics_helper.get_raw_metrics(request, metric_name,
                                                                           settings.DEFAULT_START_TIME)
             json_data = []
             for data_point in rate_data_points:
-                timestamp, value = data_point["timestamp"], data_point["value"] * 60
+                timestamp, value = data_point["timestamp"], data_point["value"] * 100
                 json_data.append([timestamp, value])
 
             util_data[metric_name] = json_data