diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 5a2bf4d913..ca98584602 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -460,3 +460,15 @@ partially-converted asynchronous version of the same name to the `test/asynchron
 Use this generated file as a starting point for the completed conversion.
 
 The script is used like so: `python tools/convert_test_to_async.py [test_file.py]`
+
+## Generating a flame graph using py-spy
+To profile a test script and generate a flame graph, follow these steps:
+1. Install `py-spy` if you haven't already:
+   ```bash
+   pip install py-spy
+   ```
+2. Inside your test script, perform any required setup and then loop over the code you want to profile for improved sampling.
+3. Run `py-spy record -o <output.svg> -r <sample_rate=100> -- python <path/to/script>` to generate a `.svg` file containing the flame graph.
+   (Note: on macOS you will need to run this command using `sudo` to allow `py-spy` to attach to the Python process.)
+4. If you need to include native code (for example the C extensions), profiling should be done on a Linux system, as macOS and Windows do not support the `--native` option of `py-spy`.
+   Creating an ubuntu Evergreen spawn host and using `scp` to copy the flamegraph `.svg` file back to your local machine is the best way to do this.