diff --git a/docs/workspaces/utility/asreview.qmd b/docs/workspaces/utility/asreview.qmd
index 061b9d4..06b46ad 100644
--- a/docs/workspaces/utility/asreview.qmd
+++ b/docs/workspaces/utility/asreview.qmd
@@ -36,7 +36,14 @@ Please also read the [tips](#tips) below.
 
 {{< include ../partials/_creation.qmd >}}
 
-**Choosing the right hardware**: ASReview uses an AI model that runs in parallel to the ASReview webapplication. **It is therefore recommended to choose a workspace with at least two CPU cores. Four CPUs is probably enough for most cases.** The more users that will be using the workspace to do screening in parallel, the more hardware will be required.
+**Choosing the right hardware**: 
+
+ASReview uses a machine learning or AI model that runs in parallel to the ASReview webapplication. **It is therefore recommended to choose a workspace with at least two CPU cores. Four CPUs is probably enough for most cases.** The more users that will be using the workspace to do screening in parallel, the more hardware will be required.
+
+If you are unsure about the right hardware for your needs, the best way to test it out is to start with a modest configuration. 
+
+- Attach a storage volume so your data is preserved while testing. 
+- Start testing by running your tasks, and monitor the workspace performance. If you find that the performance is slow or unresponsive, you can always stop the workspace and start a new workspace with more resources. If you have attached a storage volume, your data will be preserved and you can simply attach the same storage volume to the new workspace.
 
 To use the ASReview [Dory](https://asreview.readthedocs.io/en/latest/lab/dory.html) [Catalog Item](../../glossary.qmd#catalog-item) you will need to create a machine with GPUs, which are more expensive than CPUs. For this reason we recommend against using Dory for anything but advanced use cases (e.g. with multilingual datasets).