diff --git a/meeting-notes/20190509.md b/meeting-notes/20190509.md
index 938fa910411fa273695900958d709d13424208d2..c84a64584731e8ad83ebd9343120c069f8fb81b4 100644
--- a/meeting-notes/20190509.md
+++ b/meeting-notes/20190509.md
@@ -8,6 +8,9 @@
   * how many run their own bots?
 * if an editor is both an edit filter manager and a bot developer: in which cases would they decide to implement a bot and in which a filter?
 * stick to research questions from Confluence, they are already carefully crafted and narrowed down as appropriate
+  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.
 * aggregation: clarify for myself what is the argument/the story/the big picture; make sure I still see the forrest and not only a bunch of single trees
   * start with headers from the thesis's outline