diff --git a/backend/Property.py b/backend/Property.py
index 5507876a..fe848c26 100644
--- a/backend/Property.py
+++ b/backend/Property.py
@@ -365,7 +365,7 @@ class Property:
             for rec in property_recommendations_by_phase:
                 # We simulate the impact of the recommendation at this current phase, and all of the prior phases
 
-                if rec["type"] == "mechanical_ventilation":
+                if rec["type"] in ["mechanical_ventilation", "trickle_vents", "draught_proofing"]:
                     continue
 
                 scoring_dict = self.create_recommendation_scoring_data(
diff --git a/recommendations/DraughtProofingRecommendations.py b/recommendations/DraughtProofingRecommendations.py
index fd6d4ee9..9ce9aa1b 100644
--- a/recommendations/DraughtProofingRecommendations.py
+++ b/recommendations/DraughtProofingRecommendations.py
@@ -8,7 +8,7 @@ class DraughtProofingRecommendations:
 
         self.recommendation = []
 
-    def recommend(self):
+    def recommend(self, phase):
         """
         In some cases, we can identify the need for draught proofing from the EPC recommendations, however the initial
         implementation of this class will just assume that we are picking up a non-invasive recommendation from the
@@ -28,7 +28,7 @@ class DraughtProofingRecommendations:
         # We recommend installing two mechanical ventilation systems
         self.recommendation = [
             {
-                "phase": None,
+                "phase": phase,
                 "parts": [],
                 "type": "draught_proofing",
                 "description": description,
diff --git a/recommendations/Recommendations.py b/recommendations/Recommendations.py
index fa02c2c8..45169b30 100644
--- a/recommendations/Recommendations.py
+++ b/recommendations/Recommendations.py
@@ -137,8 +137,9 @@ class Recommendations:
         if "draught_proofing" in measures:
             # This is a recommendation that in some instances we can recommend, by deducing it from the SAP
             # recommendations, however we will implement this later
-            self.draught_proofing_recommender.recommend()
+            self.draught_proofing_recommender.recommend(phase=phase)
             property_recommendations.append(self.draught_proofing_recommender.recommendation)
+            phase += 1
 
         if "floor_insulation" in measures:
             self.floor_recommender.recommend(phase=phase, measures=measures)
@@ -154,7 +155,8 @@ class Recommendations:
 
         if "mixed_glazing" in measures:
             # This is a recommendation that comes exclusively from an energy assessment
-            property_recommendations.append(self.windows_recommender.recommend_mixed_glazing())
+            property_recommendations.append(self.windows_recommender.recommend_mixed_glazing(phase=phase))
+            phase += 1
 
         if "fireplace" in measures:
             self.fireplace_recommender.recommend(phase=phase)
diff --git a/recommendations/WindowsRecommendations.py b/recommendations/WindowsRecommendations.py
index c74c2fac..137b721e 100644
--- a/recommendations/WindowsRecommendations.py
+++ b/recommendations/WindowsRecommendations.py
@@ -130,7 +130,7 @@ class WindowsRecommendations:
             }
         ]
 
-    def recommend_mixed_glazing(self):
+    def recommend_mixed_glazing(self, phase):
         """
         This function will recommend mixed glazing to the property. This is a more specific recommendation than
         the general windows recommendation, but is almost certain to arise from a survey
@@ -161,7 +161,7 @@ class WindowsRecommendations:
 
         return [
             {
-                "phase": None,
+                "phase": phase,
                 "parts": [],
                 "type": "mixed_glazing",
                 "description": description,