diff --git a/mango_library/negotiation/winzent/xboole/governor.py b/mango_library/negotiation/winzent/xboole/governor.py
index 4778673..adb87ea 100644
--- a/mango_library/negotiation/winzent/xboole/governor.py
+++ b/mango_library/negotiation/winzent/xboole/governor.py
@@ -100,7 +100,9 @@ def power_balance_strategy(self, strategy):
         self._power_balance_strategy = strategy
 
     def try_balance(self):
+        print("try_balance running")
         assert self._power_balance is not None
         assert self._power_balance_strategy is not None
+        print("assertions done")
         return self._power_balance_strategy.solve(
             self._power_balance, xboole.InitiatingParty.Local)
diff --git a/mango_library/negotiation/winzent/xboole/xboole_ethical_solver_strategy.py b/mango_library/negotiation/winzent/xboole/xboole_ethical_solver_strategy.py
index 768ba45..8216e5a 100644
--- a/mango_library/negotiation/winzent/xboole/xboole_ethical_solver_strategy.py
+++ b/mango_library/negotiation/winzent/xboole/xboole_ethical_solver_strategy.py
@@ -208,9 +208,11 @@ def solve(self, power_balance, initiator):
         :param power_balance: The replies for the negotiation.
         :param initiator: The initiator for the boolean solver
         """
+        print("solve inside ethical solver running")
         # in this case, the agent did not receive any offers and the only requirement in the power balance is
         # his own. Consequently, no solution can be created.
         if len(power_balance.ledger[self.start_time]) < 2:
+            print("no offers received. Aborting solution process")
             return {}, None, None
         self.initial_requirement = PowerBalanceSolverStrategy.find_initial_requirement(power_balance, initiator)
         # if all the available offers cannot satisfy the need for this timeslot,
@@ -220,6 +222,7 @@ def solve(self, power_balance, initiator):
         most_ethical_requirements.ledger[self.start_time].remove(self.initial_requirement)
         most_ethical_requirements.ledger[self.start_time].sort(key=get_ethics_score_from_req, reverse=True)
         time_span = self.initial_requirement.time_span
+        print("checking if all offers are of same time span")
         if not are_all_offers_in_same_time_span(most_ethical_requirements):
             most_ethical_requirements.ledger[self.start_time].append(self.initial_requirement)
             return self.ethical_solution_algorithm(most_ethical_requirements, initiator)