diff --git a/docs/USE CASES/DataVisualization.md b/docs/USE CASES/DataVisualization.md
index 1f0d0d9e34748aff3290fb9c0110163bfaca8dc0..e73239b7bde06049c8648ffda11da861e58674bb 100644
--- a/docs/USE CASES/DataVisualization.md	
+++ b/docs/USE CASES/DataVisualization.md	
@@ -1,3 +1,3 @@
 With NIRS workflow, you can efficiently visualize your spectra to see their trend.
 
-![Image Alt Text](../figs/DataVisualization.png)
\ No newline at end of file
+![Image Alt Text](./figs/DataVisualization.png)
\ No newline at end of file
diff --git a/docs/USE CASES/EDA.md b/docs/USE CASES/EDA.md
index 3453925d5ad60761143f2cba67d51c2d4797f8e0..1dad48e7285f6679892ba40323cd54b813fc3e1c 100644
--- a/docs/USE CASES/EDA.md	
+++ b/docs/USE CASES/EDA.md	
@@ -2,11 +2,11 @@
 With NIRS Workflow, you can perform an exploratory data analysis on your spectral data, specifically you can perform dimensionality reduction to concentrate the information provided by spectra on the samples, allowing you to see similarities and differences between samples based on compressed spectra that are visualized in 1D, 2D, or 3D space. 
 </p>
 
-![Image Alt Text](../figs/DimensionalityReduction.png)
+![Image Alt Text](./figs/DimensionalityReduction.png)
 
 
 <p style='text-align: justify;'>
 If you find it difficult to discern similarities and differences between spectra, the app proposes specific Machine Learning methods, specifically clustering methods, to automatically accomplish the task.
 </p>
 
-![Image Alt Text](../figs/Clustering.png)
\ No newline at end of file
+![Image Alt Text](./figs/Clustering.png)
\ No newline at end of file
diff --git a/docs/USE CASES/ModelCreation.md b/docs/USE CASES/ModelCreation.md
index be8465e3d4ce484184a5bb607f60796f1a75b9a8..a9a90e44f7defa7f6d14af7c823df2b8308f18a3 100644
--- a/docs/USE CASES/ModelCreation.md	
+++ b/docs/USE CASES/ModelCreation.md	
@@ -1,3 +1,3 @@
 NIRS Workflow features a section that serve for supervised predictive modelling. It enables you to create a predictive model that is supposed to predict your target variable from spectral data.
 
-![Image Alt Text](../figs/PredictiveModeling.png)
\ No newline at end of file
+![Image Alt Text](./figs/PredictiveModeling.png)
\ No newline at end of file
diff --git a/docs/USE CASES/SamplesSelection.md b/docs/USE CASES/SamplesSelection.md
index 636f8a4c5d7cbcadd122fe4139207068da2ff86d..80cd8bbe141a86ffbe5729b802780c0507f5fbd4 100644
--- a/docs/USE CASES/SamplesSelection.md	
+++ b/docs/USE CASES/SamplesSelection.md	
@@ -1,3 +1,3 @@
 If you have a large set of spectra, and want to sample a representative subset to use for any objective. NIRS Workflow features a functionality that can accomplish the task for you.
 
-![Image Alt Text](../figs/Sampling.png)
\ No newline at end of file
+![Image Alt Text](./figs/Sampling.png)
\ No newline at end of file
diff --git a/mkdocs.yml b/mkdocs.yml
index 8cc5bcbf0921e96d3ac3edb901c02ed6d888ca7e..1d0294e49c78c5a8e19443189e9823212ad7249b 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -1,11 +1,42 @@
-site_name: NIRS Workflow
+site_name: NIRS Workflow - Documentation
+site_author: 'Nicolas.barthes@cefe.cnrs.fr'
+copyright: 'Est. 2016, Copr. <a href="https://0x4447.com">0x4447, LLC.</a>'
+use_directory_urls: true
 
 nav:
-  - Home: 'index.md'
-  - Dimensionality Reduction: 'DimensionalityReduction.md'
-  - Clustering Methods: 'ClusteringAnalysis.md'
-  - Models Creation: 'ModelCreation.md'
-  - Prediction Making: 'PredictionMaking.md'
+  - HOME: 'index.md'
+  - USE CASES: 
+    - DATA VISUALIZATION: 'USE CASES/DataVisualization.md'
+    - EXPLORATORY DATA ANALYSIS(EDA): 'USE CASES/EDA.md'
+    - SAMPLES SELECTION: 'USE CASES/SamplesSelection.md'
+    - PREDICTIVE MODELLING: 'USE CASES/ModelCreation.md'
+    - PREDICTION MAKING: 'USE CASES/PredictionMaking.md'
+  - GETTING STARTED:
+    - HOME WORKSPACES:
+      - Initial webpage load: 'GETTING STARTED/Initial webpage load.md'
+      - Simple or advanced interface: 'GETTING STARTED/Simple or advanced interface.md'
+      - Tabs : 'GETTING STARTED/Tabs.md'
+    - QUICK-START GUIDE:
+      - Form completion: 'GETTING STARTED/Input.md'
+      - Uploading your data: 'GETTING STARTED/DataImport.md'
+      - Data visualization (for tabs requiring data uploading): 'GETTING STARTED/DataVisualization.md'
+      - Exploratory data analysis: 'GETTING STARTED/EDA.md'
+      - Samples selection: 'GETTING STARTED/SamplesSelection.md'
+      - Predictive modeling: 'GETTING STARTED/ModelCreation.md'
+      - Prediction making: 'GETTING STARTED/PredictionMaking.md'
+      - Reporting and results downloading: 'GETTING STARTED/Reporting.md'
+  - RESOURCES:
+      - Frameworks and algorithms: 'RESOURCES/Frameworks and algorithms.md'
+      - SOURCE CODE:
+        - data visualization: 'RESOURCES/ModelCreation.md'
+        - samples selection: 'RESOURCES/ModelCreation.md'
+        - calibration development: 'RESOURCES/ModelCreation.md'
+        - prediction: 'RESOURCES/ModelCreation.md'
+      - REFERENCES: 'RESOURCES/References.md'
+  - CITATION: 'GETTING STARTED/CitationPermission.md'
+  - SUPPORT: 'Support.md'
+
+      
 
 
 theme:
@@ -13,7 +44,11 @@ theme:
 
   features:
     - navigation.tabs
+    - navigation.tabs.sticky
     - navigation.sections
+    - navigation.expand
+    - navigation.path
+    - navigation.indexes
     - toc.integrate
     - navigation.top
     - search.suggest
@@ -21,6 +56,7 @@ theme:
     - content.tabs.link
     - content.code.annotation
     - content.code.copy
+    - toc.integrate
   language: en
   palette:
     - scheme: default