diff --git a/doc/howitworks.rst b/doc/howitworks.rst
index fccc4c6b5112d98e494789601aa199fcd11d3da9..fd05a1c46286e70f70ce0dc21c37532ac37abd13 100644
--- a/doc/howitworks.rst
+++ b/doc/howitworks.rst
@@ -46,8 +46,9 @@ Adding Serializable Data-Related Information
 Any good diagram will contain axis labels, and, optionally, a plot title. We can add these to the example above the same way as if we were using ``matplotlib``:
 
 .. code-block:: python
-
-    plt.rcParams['text.usetex'] = True
+    
+    import matplotlib.pyplot as plt  # only for LaTeX rendering
+    plt.rcParams['text.usetex'] = True # only for LaTeX rendering
 
     axs.set_xlabel(r'driving angular frequency $\omega$ in $1/\mathrm{s}$')
     axs.set_ylabel(r'oscillation amplitude $A$ in $\mathrm{m}$')
@@ -174,7 +175,7 @@ This will not be caught upon by PlotSerializer and the change will be ignored.
 Plot Serializer currently supports the following plot types. Supported arguments that will get serialized are noted below.
 See `here <https://matplotlib.org/stable/plot_types/index.html>`_ for an explanation of these parameters.
 
-Axes
+Plot
 ^^^^
 Serialized by default:
     * title
diff --git a/doc/user_guide.rst b/doc/user_guide.rst
index b4ec160a224870b246b6c260f83cd5f34c430ce6..f7ded5d57a6d2ebf5df36809bf475651ca92eb00 100644
--- a/doc/user_guide.rst
+++ b/doc/user_guide.rst
@@ -1,5 +1,24 @@
 User Guide
 ==========
+Plot Serializer (PloSe) is a tool for converting scientific diagrams into (FAIR) data.
+
+Many scientific publications are based on data. To fight the reproducibility crisis in science, 
+many researchers are adopting the practice of sharing data. This is more and more often required 
+by journals, conferences and funding bodies.
+
+The PloSe team considers scientific diagrams an entry point to the research objects behind a publication.
+Typically, the data depicted in a diagram within a scientific publication is of great interest to the reader. 
+The diagrams sometimes contain experimental or simulation results, in other cases secondary, processed data.
+PloSe enables to quickly extract the data from the diagram, describe it with customizable metadata 
+(which can, for example, link to the primary dataset) and share it with the scientific community. 
+Hence, PloSe can assist you in making your data FAIR!
+
+PloSe currently allows for serialization from matplotlib to JSON and RO-Crate. It is still **under development**, limited to certain 
+plot types. 
+
+PloSe also allows for deserialization of JSON-ized plots into matplotlib.
+
+
 .. toctree::
    :maxdepth: 1
    :hidden: