diff --git a/meeting-notes/20190704.md b/meeting-notes/20190704.md
new file mode 100644
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@@ -0,0 +1,13 @@
+# Meeting 04.07.2019
+
+Revise Questions from Confluence:
+  Q1 We wanted to improve our understanding of the role of filters in existing algorithmic quality-control mechanisms (bots, ORES, humans). -- chapter 4 (and 2)
+     Subquestion (for discussion): Since filters are classical rule-based systems, what are suitable areas of application for such rule-based system in contrast to the other ML-based approaches. -- chapter 6 (discussion)
+
+  Q2 Which type of tasks do these filters take over? -- chapter 5
+     Subquestion: How these tasks evolve over time (are they changes in the type, number, etc.)? -- chapter 5 (can be significantly expanded)
+
+Important to differentiate between parts that
+* report results
+* interpret results
+
diff --git a/thesis/introduction.tex b/thesis/introduction.tex
index 10396583a1f29a23545adb6ca07c01499b0dcef6..8240795a7b9ec39bf7cee0cf5f74db9e6e041662 100644
--- a/thesis/introduction.tex
+++ b/thesis/introduction.tex
@@ -71,10 +71,16 @@ To this end, we study the academic contributions on Wikipedia's quality control
 * How have these tasks evolved over time (are there changes in the type, number, etc.)? - chapter 5
 * What are suitable areas of application for rule-based systems such as filters in contrast to the other ML-based approaches? - discussion
 
-Questions from Confluence
-  Q1 We wanted to improve our understanding of the role of filters in existing algorithmic quality-control mechanisms (bots, ORES, humans).
-  Q2 Which type of tasks do these filters take over in comparison to the other mechanisms? How these tasks evolve over time (are they changes in the type, number, etc.)?
-  Q3 Since filters are classical rule-based systems, what are suitable areas of application for such rule-based system in contrast to the other ML-based approaches.
+Revise Questions from Confluence:
+  Q1 We wanted to improve our understanding of the role of filters in existing algorithmic quality-control mechanisms (bots, ORES, humans). -- chapter 4 (and 2)
+     Subquestion (for discussion): Since filters are classical rule-based systems, what are suitable areas of application for such rule-based system in contrast to the other ML-based approaches. -- chapter 6 (discussion)
+
+  Q2 Which type of tasks do these filters take over? -- chapter 5
+     Subquestion: How these tasks evolve over time (are they changes in the type, number, etc.)? -- chapter 5 (can be significantly expanded)
+
+Important to differentiate between parts that
+* report results
+* interpret results
 
 Note:
 * to answer the question about evolution over time, I really do need the abuse_filter_history table