diff --git a/docs/source/index.rst b/docs/source/index.rst
index 2551b0f53f38e7aeda31b9a3eb282c12698b21f3..fbd729ed1bd485a07c5061b0ae54323c66ae277c 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -6,6 +6,10 @@
 Welcome to LOFAR2.0 Station Control's documentation!
 ====================================================
 
+LOFAR2.0 Station Control is a software stack aimed to monitor, control, and manage a LOFAR2.0 station. In order to do so, it whips up a series of Docker containers, and combines the power of `Tango Controls <https://www.tango-controls.org/>`_, `PyTango <https://pytango.readthedocs.io/en/stable/>`_, `Docker <https://www.docker.com/>`_, `Grafana <https://grafana.com/>`_, `ELK <https://www.elastic.co/what-is/elk-stack>`_, `Jupyter Notebook <https://jupyter.org/>`_, and many others to provide a rich and powerful experience in using the station.
+
+Full monitoring and control access to the LOFAR2.0 station hardware is provided, by marshalling their rich `OPC-UA <https://opcfoundation.org/about/opc-technologies/opc-ua/>`_ interfaces. Higher-level logic makes it possible to easily configure and obtain the LOFAR station data products (beamlets, XSTs, SSTs, BSTs) from your local machine using Python, or through one of our provided web interfaces.
+
 .. toctree::
    :maxdepth: 2
    :caption: Contents:
diff --git a/docs/source/interfaces/control.rst b/docs/source/interfaces/control.rst
index 7aa8b90b632c4a6d8d70ccc48d483f598800f685..3c514f11d7a3e5a4bbc1c7339bac3bed0820d70f 100644
--- a/docs/source/interfaces/control.rst
+++ b/docs/source/interfaces/control.rst
@@ -1,7 +1,7 @@
 Monitoring & Control
 ========================
 
-The main API to control the station is through the `Tango Controls <https://tango-controls.readthedocs.io/en/latest/>`_ API we expose on port 10000, which is most easily accessed using a `PyTango <https://pytango.readthedocs.io/en/stable/client_api/index.html>`_ client.
+The main API to control the station is through the `Tango Controls <https://tango-controls.readthedocs.io/en/latest/>`_ API we expose on port 10000, which is most easily accessed using a `PyTango <https://pytango.readthedocs.io/en/stable/client_api/index.html>`_ client. The Jupyter Notebook installation we provide is such a client.
 
 .. _jupyter: