diff --git a/etl/epc/generate_scenarios_data.py b/etl/epc/generate_scenarios_data.py
index 15661d99..d4833baa 100644
--- a/etl/epc/generate_scenarios_data.py
+++ b/etl/epc/generate_scenarios_data.py
@@ -79,8 +79,8 @@ scenario_properties = [
         "measures": [
             [
                 ["cavity_wall_insulation", "loft_insulation"],
-                "15",
-                {"walls_insulation_thickness_ending": "average"},
+                "11",
+                {},
                 [0, 1],
             ],
         ],
@@ -92,8 +92,8 @@ scenario_properties = [
         "measures": [
             [
                 ["cavity_wall_insulation", "loft_insulation"],
-                "15",
-                {"walls_insulation_thickness_ending": "average"},
+                "10",
+                {},
                 [0, 1],
             ],
         ],
@@ -105,8 +105,8 @@ scenario_properties = [
         "measures": [
             [
                 ["cavity_wall_insulation", "loft_insulation"],
-                "15",
-                {"walls_insulation_thickness_ending": "average"},
+                "11",
+                {},
                 [0, 1],
             ],
         ],
@@ -118,8 +118,8 @@ scenario_properties = [
         "measures": [
             [
                 ["cavity_wall_insulation", "loft_insulation"],
-                "15",
-                {"walls_insulation_thickness_ending": "average"},
+                "10",
+                {},
                 [0, 1],
             ],
         ],
@@ -289,7 +289,7 @@ all_predictions = model_api.predict_all(df=recommendations_scoring_data, bucket=
 sap_impact = pd.concat(
     [
         all_predictions["sap_change_predictions"],
-        recommendations_scoring_data[["uprn", "sap_starting"]],
+        recommendations_scoring_data[["uprn", "sap_starting", "impact"]],
     ],
     axis=1
 )
diff --git a/recommendations/RoofRecommendations.py b/recommendations/RoofRecommendations.py
index e8a43db0..c86c5b30 100644
--- a/recommendations/RoofRecommendations.py
+++ b/recommendations/RoofRecommendations.py
@@ -307,7 +307,9 @@ class RoofRecommendations:
                         cost_result = override_costs(cost_result)
 
                     if material["type"] == "loft_insulation":
-                        new_thickness = insulation_thickness + material["depth"]
+                        # We take the new thickness as just the thickness of the insulation, to be conservative
+                        # and assume that any existing insulation will be replaced
+                        new_thickness = material["depth"]
 
                         # This is based on the values we have in the training data
                         valid_numeric_values = [
@@ -332,7 +334,7 @@ class RoofRecommendations:
                                 valid_numeric_values, key=lambda x: abs(x - proposed_depth)
                             )
 
-                        if proposed_depth >= 270:
+                        if proposed_depth >= 300:
                             new_efficiency = "Very Good"
                         else:
                             if self.property.data["walls-energy-eff"] not in ["Good", "Very Good"]: