diff --git a/knowledge/survey/README.txt b/knowledge/survey/README.txt
index 317411f..9c4e0a9 100644
--- a/knowledge/survey/README.txt
+++ b/knowledge/survey/README.txt
@@ -11,16 +11,20 @@ Let's first set up a  questionaire.
   >>> qu02 = Question(quest)
   >>> qu03 = Question(quest)
 
+
+Question-related Feedback Items
+===============================
+
 We now assign result elements with the questions of this questionnaire.
 
   >>> from cybertools.knowledge.survey.questionnaire import FeedbackItem
-  >>> re01 = FeedbackItem('re01')
-  >>> re02 = FeedbackItem('re02')
-  >>> re03 = FeedbackItem('re03')
+  >>> fi01 = FeedbackItem('fi01')
+  >>> fi02 = FeedbackItem('fi02')
+  >>> fi03 = FeedbackItem('fi03')
 
-  >>> qu01.feedbackItems = {re01: 0.8, re03: 0.2}
-  >>> qu02.feedbackItems = {re01: 0.3, re02: 0.7, re03: 0.1}
-  >>> qu03.feedbackItems = {re01: 0.2, re03: 0.9}
+  >>> qu01.feedbackItems = {fi01: 0.8, fi03: 0.2}
+  >>> qu02.feedbackItems = {fi01: 0.3, fi02: 0.7, fi03: 0.1}
+  >>> qu03.feedbackItems = {fi01: 0.2, fi03: 0.9}
 
 
 Responses
@@ -34,8 +38,23 @@ Responses
 Now let's calculate the result for resp01.
 
   >>> res = resp01.getResult()
-  >>> for re, score in res:
-  ...     print re.text, score
-  re03 4.1
-  re01 2.7
-  re02 0.7
+  >>> for fi, score in res:
+  ...     print fi.text, score
+  fi03 4.1
+  fi01 2.7
+  fi02 0.7
+
+
+Grouped Feedback Items
+======================
+
+  >>> from cybertools.knowledge.survey.questionnaire import QuestionGroup
+  >>> qugroup = QuestionGroup(quest)
+  >>> quest.questionGroups.append(qugroup)
+  >>> qugroup.questions = [qu01, qu02, qu03]
+  >>> qugroup.feedbackItems = [fi01, fi02, fi03]
+
+  >>> res = resp01.getGroupedResult()
+  >>> for fi, score in res:
+  ...     print fi.text, round(score, 2)
+  fi02 1.17
diff --git a/knowledge/survey/interfaces.py b/knowledge/survey/interfaces.py
index ed7da20..08337b3 100644
--- a/knowledge/survey/interfaces.py
+++ b/knowledge/survey/interfaces.py
@@ -32,12 +32,25 @@ class IQuestionnaire(Interface):
     """
 
     questions = Attribute('An ordered collection of questions.')
+    questionGroups = Attribute('An ordered collection of question groups (optional).')
     responses = Attribute('A set of responses.')
     defaultAnswerOptions = Attribute('A sequence of answer options to select from. '
                 'Default value used for questions that do not '
                 'explicitly provide the values attribute.')
 
 
+class IQuestionGroup(Interface):
+    """ A group of questions within a questionnaire.
+
+        This may be used just for the presentation of questions or for 
+        grouped feedback items.
+    """
+
+    questionnaire = Attribute('The questionnaire this question belongs to.')
+    questions = Attribute('An ordered collection of questions.')
+    feedbackItems = Attribute('An ordered collection of feedback items.')
+
+
 class IQuestion(Interface):
     """ A single question within a questionnaire.
     """
@@ -46,7 +59,9 @@ class IQuestion(Interface):
     questionnaire = Attribute('The questionnaire this question belongs to.')
     answerOptions = Attribute('A sequence of answer options to select from.')
     feedbackItems = Attribute('A mapping with feedback items as keys and '
-            'corresponding relevance factors as values.')
+                'corresponding relevance factors as values.')
+    revertAnswerOptions = Attribute('Revert the sequence of answer '
+                'options internally so that a high selection gets a low score.')
 
 
 class IFeedbackItem(Interface):
@@ -71,3 +86,6 @@ class IResponse(Interface):
         """ Calculate the result for this response.
         """
 
+    def getGroupedResult():
+        """ Calculate the result for a questionnaire with grouped feedback items.
+        """
diff --git a/knowledge/survey/questionnaire.py b/knowledge/survey/questionnaire.py
index b30c780..b7d9417 100644
--- a/knowledge/survey/questionnaire.py
+++ b/knowledge/survey/questionnaire.py
@@ -21,7 +21,8 @@ Questionnaires, questions and other stuff needed for surveys.
 """
 
 from zope.interface import implements
-from cybertools.knowledge.survey.interfaces import IQuestionnaire, IQuestion
+from cybertools.knowledge.survey.interfaces import IQuestionnaire
+from cybertools.knowledge.survey.interfaces import IQuestionGroup, IQuestion
 from cybertools.knowledge.survey.interfaces import IFeedbackItem, IResponse
 
 
@@ -30,16 +31,29 @@ class Questionnaire(object):
     implements(IQuestionnaire)
     
     def __init__(self):
+        self.questionGroups = []
         self.questions = []
         self.responses = []
         self.defaultAnswerOptions = range(5)
 
 
+class QuestionGroup(object):
+
+    implements(IQuestionGroup)
+
+    def __init__(self, questionnaire):
+        self.questionnaire = questionnaire
+        self.questions = []
+        self.feedbackItems = []
+
+
 class Question(object):
 
     implements(IQuestion)
 
     _answerOptions = None
+
+    revertAnswerOptions = False
     
     def __init__(self, questionnaire, text=u''):
         self.questionnaire = questionnaire
@@ -47,7 +61,10 @@ class Question(object):
         self.text = text
 
     def getAnswerOptions(self):
-        return self._answerOptions or self.questionnaire.defaultAnswerOptions
+        result = self._answerOptions or self.questionnaire.defaultAnswerOptions
+        if self.revertAnswerOptions:
+            result.reverse()
+        return result
     def setAnswerOptions(self, value):
         self._answerOptions = value
     answerOptions = property(getAnswerOptions, setAnswerOptions)
@@ -75,5 +92,16 @@ class Response(object):
         for question, value in self.values.items():
             for fi, rf in question.feedbackItems.items():
                 result[fi] = result.get(fi, 0.0) + rf * value
-                #print re.text, rf, value
         return sorted(result.items(), key=lambda x: -x[1])
+
+    def getGroupedResult(self):
+        result = []
+        for qugroup in self.questionnaire.questionGroups:
+            score = scoreMax = 0.0
+            for qu in qugroup.questions:
+                score += self.values.get(qu, 0.0)
+                scoreMax += max(qu.answerOptions)
+            relScore = score / scoreMax
+            wScore = relScore * (len(qugroup.feedbackItems) - 1)
+            result.append((qugroup.feedbackItems[int(wScore)], wScore))
+        return result