Update app.py

app.py

@@ -230,7 +230,35 @@ def predict(
 # Buttons
 # =========================
 def load_at_risk_group():
-    # At risk group = average of Cluster 1 and Cluster 2
+    # At-risk group = Cluster 3 (lowest means)
+    target = {v: CLUSTER_3[v] for v in ALL_DRIVER_VARS}
+
+    headline, drivers_fig, shap_fig = predict(
+        target["Engagement"],
+        target["SupportiveGM"],
+        target["WellBeing"],
+        target["WorkEnvironment"],
+        target["Voice"],
+        target["DecisionAutonomy"],
+        target["Workload"],
+    )
+
+    return (
+        target["Engagement"],
+        target["SupportiveGM"],
+        target["WellBeing"],
+        target["WorkEnvironment"],
+        target["Voice"],
+        target["DecisionAutonomy"],
+        target["Workload"],
+        headline,
+        drivers_fig,
+        shap_fig,
+    )
+
+def apply_recommendation():
+    # Recommendation = move toward high performers
+    # average of Cluster 1 and Cluster 2
     avg = {v: (CLUSTER_1[v] + CLUSTER_2[v]) / 2.0 for v in ALL_DRIVER_VARS}
 
     headline, drivers_fig, shap_fig = predict(
@@ -257,34 +285,6 @@ def load_at_risk_group():
     )
 
 
-def apply_recommendation():
-    # Apply recommendation = move to Cluster 3 target levels
-    target = {v: CLUSTER_3[v] for v in ALL_DRIVER_VARS}
-    
-    headline, drivers_fig, shap_fig = predict(
-        target["Engagement"],
-        target["SupportiveGM"],
-        target["WellBeing"],
-        target["WorkEnvironment"],
-        target["Voice"],
-        target["DecisionAutonomy"],
-        target["Workload"],
-    )
-
-    return (
-        target["Engagement"],
-        target["SupportiveGM"],
-        target["WellBeing"],
-        target["WorkEnvironment"],
-        target["Voice"],
-        target["DecisionAutonomy"],
-        target["Workload"],
-        headline,
-        drivers_fig,
-        shap_fig,
-    )
-
-
 # =========================
 # UI Layout (tight, no big gaps)
 # =========================