diff --git a/README.md b/README.md
index 5a9a77b..882637a 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@ Includes tools and workflows for comprehensive data integration and automated me
 
 Follow these steps to install and set up the project:
 
-1. Download our GitLab repository in your GitLab folder, or alternatively open a Git Bash terminal and run the following commands  
+1. Download our GitLab repository in your GitLab folder, or alternatively open a Git Bash terminal and run the following commands: 
   ```
   cd Path/to/GitLab
   git clone https://gitlab.psi.ch/5505/data-integration-and-metadata-annotation.git
@@ -20,25 +20,27 @@ Follow these steps to install and set up the project:
   ```
   conda env create -f environment.yml
   ```
-4. Activate the created environment by running the following command:
+
+## Working with Jupyter Notebook on the `multiphase_chemistry_env`
+
+1. Open an Anaconda Prompt as a regular user, ensure that `multiphase_chemistry_env` is in the list of available enviroments and activate it by running the following commands:
   ```
+  conda env list
   conda activate multiphase_chemistry_env
   ```
-5. Once the enviroment is activated, register the associated kernel in jupyter by running:
+2. Register the associated kernel in Jupyter by running:
 
   ```
-  python -m ipykernel install --user --name multiphase_chemistry_env --display-name "Python (multiphase_chemistry_env)"  
+  (multiphase_chemistry_env) python -m ipykernel install --user --name multiphase_chemistry_env --display-name "Python (multiphase_chemistry_env)"  
   ```
-
-
-6. Start a Jupyter Notebook by running the command:
+3. Start a Jupyter Notebook by running the command:
   ```
-  jupyter notebook
+  (multiphase_chemistry_env) jupyter notebook
   ```
-  and select the `multiphase_chemistry_env` environment from the kernel options.
+and select the `multiphase_chemistry_env` environment from the kernel options.
 
-
-7. Otherwise, for Visual Studio Code (VS Code), after opening your project in VS Code, click on the Python interpreter in the status bar and choose the `multiphase_chemistry_env` environment.
+## Working with Visual Studio Code (VS Code) on the `multiphase_chemistry_env`
+1. Open the project in VS Code, click on the Python interpreter in the status bar and choose the `multiphase_chemistry_env` environment.
 
 ## Data integration workflow