diff --git a/ferry/transform/__init__.py b/ferry/transform/__init__.py
index e0d5c7baf..4a74c14e1 100644
--- a/ferry/transform/__init__.py
+++ b/ferry/transform/__init__.py
@@ -14,6 +14,7 @@
 )
 from .import_courses import import_courses
 from .import_evaluations import import_evaluations
+from .invariants import check_invariants
 
 
 def write_csvs(tables: dict[str, pd.DataFrame], data_dir: Path):
@@ -110,6 +111,8 @@ def transform(data_dir: Path) -> dict[str, pd.DataFrame]:
             .loc[:, [column.key for column in db_table.columns]]
         )
 
+    check_invariants(all_tables)
+
     print("\033[F", end="")
     print("Computing secondary attributes... ✔")
 
diff --git a/ferry/transform/invariants.py b/ferry/transform/invariants.py
new file mode 100644
index 000000000..bcc99b8f9
--- /dev/null
+++ b/ferry/transform/invariants.py
@@ -0,0 +1,51 @@
+import pandas as pd
+
+
+class InvariantError(Exception):
+    pass
+
+
+def check_invariants(tables: dict[str, pd.DataFrame]):
+    """
+    Check invariant:
+    - listing.season_code == course.season_code if listing.course_id == course.course_id.
+    - evaluation_questions.options is null iff evaluation_questions.is_narrative = True
+    - every course should have at least one listing.
+    """
+
+    listing_with_course = tables["listings"][["course_id", "season_code"]].merge(
+        tables["courses"][["course_id", "season_code"]],
+        on="course_id",
+        suffixes=("_listing", "_course"),
+    )
+    diff_season_code = listing_with_course[
+        listing_with_course["season_code_listing"]
+        != listing_with_course["season_code_course"]
+    ]
+    if not diff_season_code.empty:
+        raise InvariantError(
+            f"listing.season_code != course.season_code for {diff_season_code}"
+        )
+
+    courses_no_listing = ~tables["courses"]["course_id"].isin(
+        tables["listings"]["course_id"]
+    )
+    if courses_no_listing.any():
+        raise InvariantError(
+            f"courses with no listing {tables['courses']['course_id'][courses_no_listing]}"
+        )
+
+    narrative_with_options = tables["evaluation_questions"][
+        (tables["evaluation_questions"]["is_narrative"] == True)
+        & (tables["evaluation_questions"]["options"].notnull())
+    ]
+    non_narrative_without_options = tables["evaluation_questions"][
+        (tables["evaluation_questions"]["is_narrative"] == False)
+        & (tables["evaluation_questions"]["options"].isnull())
+    ]
+    if not narrative_with_options.empty:
+        raise InvariantError(f"narrative with options {narrative_with_options}")
+    if not non_narrative_without_options.empty:
+        raise InvariantError(
+            f"non-narrative without options {non_narrative_without_options}"
+        )