diff --git a/recommendation_engine.py b/recommendation_engine.py
index db47155..62827da 100644
--- a/recommendation_engine.py
+++ b/recommendation_engine.py
@@ -54,14 +54,15 @@ class Engine:
             }
         if 'gridChange' not in self.state:
             self.state['gridChange'] = {
-                'nextClip': {'locked': True, 'value': 4},
-                'nextPlaylist': {'locked': False, 'value': 4},
-                'staySame': {'locked': False, 'value': 8}
+                'nextClip': {'locked': False, 'value': 5},
+                'nextPlaylist': {'locked': False, 'value': 8},
+                'staySame': {'locked': True, 'value': 3}
             }
         if 'userKeywordsWeights' not in self.state:
             self.state['userKeywordsWeights'] = {
                 'themeTags': {'locked': False, 'value': 0.3},
-                'characterTags': {'locked': False, 'value': 0.7}
+                'characterTags': {'locked': False, 'value': 0.7},
+                'random' : {'locked': False, 'value': True}
             }
         self.update_keywords()
 
@@ -253,6 +254,14 @@ class Engine:
                 if playlist["name"] in vids_exclude:
                     playlists.remove(playlist)
 
+        # Generate random weights if random option is chosen in the dashboard:
+        if userKeywordsWeights['random']:
+            themeWeights = random.random()
+            charWeights = 1-themeWeights
+        else:
+            themeWeights = userKeywordsWeights['themeTags']
+            charWeights = userKeywordsWeights['characterTags']
+
         # For each playlist, compute user keyword score by theme and character tags
         user_keywords = copy.deepcopy(user.get('keywords', {}))
         theme_tags = {k.lower():v for k,v in user_keywords.items() if not k.isupper()}
@@ -269,9 +278,9 @@ class Engine:
             score[playlist['name']] = random.random() * 0.001
             for tag in playlist['tags']:
                 if tag in theme_tags:
-                    score[playlist['name']] += theme_tags[tag] * userKeywordsWeights["themeTags"]
+                    score[playlist['name']] += theme_tags[tag] * themeWeights
                 elif tag in character_tags:
-                    score[playlist['name']] += character_tags[tag] * userKeywordsWeights["characterTags"]
+                    score[playlist['name']] += character_tags[tag] * charWeights
         # Select highest scoring playlists
         playlists = sorted(
             playlists,