diff --git a/jaxtyping/_decorator.py b/jaxtyping/_decorator.py
index 549d725..af18be9 100644
--- a/jaxtyping/_decorator.py
+++ b/jaxtyping/_decorator.py
@@ -79,6 +79,8 @@ def batch_outer_product(x: Float[Array, "b c1"],
             return x[:, :, None] * y[:, None, :]
 
         # Type-check a dataclass
+        from dataclasses import dataclass
+
         @jaxtyped(typechecker=typechecker)
         @dataclass
         class MyDataclass:
@@ -88,7 +90,18 @@ class MyDataclass:
 
     **Arguments:**
 
-    - `fn`: The function or dataclass to decorate.
+    - `fn`: The function or dataclass to decorate. In practice if you want to use
+        dataclasses with JAX, then
+        [`equinox.Module`](https://docs.kidger.site/equinox/api/module/module/) is our
+        recommended approach:
+        ```python
+        import equinox as eqx
+
+        @jaxtyped(typechecker=typechecker)
+        class MyModule(eqx.Module):
+            ...
+        ```
+
     - `typechecker`: Keyword-only argument: the runtime type-checker to use. This should
         be a function decorator that will raise an exception if there is a type error,
         e.g.