diff --git a/.github/workflows/test-pytest.yml b/.github/workflows/test-pytest.yml
index 3ce245e0..4c7aeab7 100644
--- a/.github/workflows/test-pytest.yml
+++ b/.github/workflows/test-pytest.yml
@@ -26,4 +26,4 @@ jobs:
         python-version: ${{ matrix.python-version }}
         cache: "pip"
     - run: pip install ".[test]"
-    - run: pytest --doctest-modules
+    - run: pytest --doctest-modules --import-mode importlib
diff --git a/docs/experimentalists/random/index.md b/docs/experimentalists/random/index.md
index f9370e10..774283ba 100644
--- a/docs/experimentalists/random/index.md
+++ b/docs/experimentalists/random/index.md
@@ -25,7 +25,7 @@ This means that there are 9 possible combinations for these variables (3x3), fro
 
 ```python
 
-from autora.experimentalist.random_ import random_pool
+from autora.experimentalist.random import random_pool
 
 pool = random_pool([1, 2, 3], [4, 5, 6], num_samples=3)
 ```
diff --git a/docs/experimentalists/random/quickstart.md b/docs/experimentalists/random/quickstart.md
index 9f872c75..491c1528 100644
--- a/docs/experimentalists/random/quickstart.md
+++ b/docs/experimentalists/random/quickstart.md
@@ -11,10 +11,10 @@ You can import and invoke the pool like this:
 
 ```python
 from autora.variable import VariableCollection, Variable
-from autora.experimentalist.random_ import pool
+from autora.experimentalist.random import pool
 
 pool(
-    VariableCollection(independent_variables=[Variable(name="x", allowed_values=range(10))]), 
+    VariableCollection(independent_variables=[Variable(name="x", allowed_values=range(10))]),
     random_state=1
 )
 ```
@@ -22,7 +22,7 @@ pool(
 You can import the sampler like this:
 
 ```python
-from autora.experimentalist.random_ import sample
+from autora.experimentalist.random import sample
 
 sample([1, 1, 2, 2, 3, 3], num_samples=2)
 ```
diff --git a/src/autora/experimentalist/random_.py b/src/autora/experimentalist/random.py
similarity index 100%
rename from src/autora/experimentalist/random_.py
rename to src/autora/experimentalist/random.py