diff --git a/docs/index.rst b/docs/index.rst
index a97a33c..085baaa 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -84,6 +84,7 @@ Topic guides provide in-depth explanations of specific topics.
.. toctree::
:titlesonly:
+ topic/whentouse
topic/requirements
topic/security
topic/customizing-installer
diff --git a/docs/topic/whentouse.rst b/docs/topic/whentouse.rst
index 4a86c7a..d2b77c8 100644
--- a/docs/topic/whentouse.rst
+++ b/docs/topic/whentouse.rst
@@ -4,79 +4,31 @@
When to use The Littlest JupyterHub
===================================
-The Littlest JupyterHub allows you to deploy a JupyterHub serving user sessions
-on a single VM (or your own hardware). The Zero to JupyterHub guide allows you
-to deploy JupyterHub on Kubernetes, making it much more scalable.
-This page is a brief guide to determining which is best for your use-case.
+This page is a brief guide to determining whether to use The Littlest JupyterHub
+(TLJH) or `Zero to JupyterHub for Kubernetes `_ (Z2JH).
Many of these ideas were first laid out in a
`blog post announcing TLJH `_.
-The Littlest JupyterHub
------------------------
+**The Littlest JupyterHub (TLJH)** (`link `_) is an opinionated and pre-configured distribution
+to deploy a JupyterHub on a **single machine** (in the cloud or on your own hardware).
+It is designed to be a more lightweight and maintainable solution
+for use-cases where size, scalability, and cost-savings are not a huge concern.
-The Littlest JupyterHub (TLJH) is an opinionated and pre-configured distribution
-to deploy a JupyterHub on a single virtual machine (or your own hardware).
-It is designed to be a more lightweight, flexible, and maintainable solution
-for use-cases where scalability and cost-savings are not a huge concern.
+**Zero to JupyterHub on Kubernetes** (`link `_) allows you
+to deploy JupyterHub on **Kubernetes**. This allows JupyterHub to scale to many thousands
+of users, to flexibly grow/shrink the size of resources it needs, and to use
+container technology in administering user sessions.
-When to use TLJH
-^^^^^^^^^^^^^^^^
+When to use TLJH vs. Z2JH
+=========================
-* You want to provide easy access to a shared computational resource (CPU, RAM, data, etc)
-* You only need to support up to ~100 people
-* You aren't concerned about `over-provisioning your cluster `_.
-* You don't need production-level security promises for your deployment
+The choice between TLJH and Z2JH ultimately comes down to only a few questoins:
-TLJH main benefits
-^^^^^^^^^^^^^^^^^^
+1. Do you want your hub and all users to live on a **single, larger machine** vs. spreading users on a **cluster of smaller machines** that are scaled up or down?
-* Simpler to deploy on many kinds of cloud services
-* Faster to set up and tear down
-* Allows administrators to quickly update user environments
-* Is fairly simple in its technical makeup, reducing accidental complexity
-* Supports any jupyter-based user workflows
+ * If you can use a single machine, we recommend **The Littlest JupyterHub**.
+ * If you wish to use multiple machines, we recommend **Zero to JupyterHub for Kubernetes**.
+2. Do you **need to use container technology**?
-TLJH main drawbacks
-^^^^^^^^^^^^^^^^^^^
-
-The Littlest JupyterHub is more lightweight and easy to deploy, which makes it poorly suited for
-large userbases or more fine-grained control over the computational resources
-your deployment uses. It also doesn't use containers (both a good and a bad thing)
-which means it does not support some security and networking features that some
-may find useful.
-
-
-Zero to JupyterHub for Kubernetes
----------------------------------
-
-The other main distribution for deploying JupyterHub is the
-`Zero to JupyterHub on Kubernetes `_ guide.
-While Kubernetes is fantastic
-for managing complex web infrastructure, sometimes it is a more complex
-solution than needed. These points should help you decide if this is is the
-tool for your use-case.
-
-When to use Z2JH
-^^^^^^^^^^^^^^^^
-
-* You may have more than ~100 users at a time
-* You do want to avoid over-provisioning your cluster
-* You want the security features of containers and Kubernetes
-* You want a more "production-ready" JupyterHub deployment
-
-Z2JH main benefits
-^^^^^^^^^^^^^^^^^^
-
-* Runs on Kubernetes
-* Scalable up to thousands of users
-* More cost-effective at this scale (because you can automatically scale up/down the resources used)
-* Uses container technology, and all the benefits that come with this
-* Supports any user workflow that can run via a browser (Jupyter, RStudio, OpenRefine, etc)
-
-Z2JH main drawbacks
-^^^^^^^^^^^^^^^^^^^
-
-JupyterHub on Kubernetes is more complex to deploy because Kubernetes is more
-complex. In addition, a more limited number of cloud providers offer
-one-click solutions for running Kubernetes. This may provide more technical
-overhead than you wish.
+ * If no, we recommend **The Littlest JupyterHub**.
+ * If yes, we recommend **Zero to JupyterHub for Kubernetes**.