diff --git a/content/docs/install/index.md b/content/docs/install/index.md
index 29d8ceca42b..241cf45cafb 100644
--- a/content/docs/install/index.md
+++ b/content/docs/install/index.md
@@ -1,7 +1,16 @@
# Installation
-> Please double check that you don't already have DVC (for example running
-> `which dvc`) before trying to install it.
+
+
+DVC does not replace or include Git. You must have `git` in your system to
+enable important features such as [data versioning] and [quick experimentation]
+(recommended).
+
+[data versioning]: /doc/use-cases/versioning-data-and-models
+[quick experimentation]:
+ /doc/user-guide/experiment-management/experiments-overview
+
+
- [Install on macOS](/doc/install/macos)
- [Install on Windows](/doc/install/windows)
diff --git a/content/docs/start/data-management/data-versioning.md b/content/docs/start/data-management/data-versioning.md
index bd73bc756b0..3766c167ead 100644
--- a/content/docs/start/data-management/data-versioning.md
+++ b/content/docs/start/data-management/data-versioning.md
@@ -278,10 +278,10 @@ $ git commit data/data.xml.dvc -m "Revert dataset updates"
-Yes, DVC is technically not even a version control system! `.dvc` file contents
-define data file versions. Git itself provides the version control. DVC in turn
-creates these `.dvc` files, updates them, and synchronizes DVC-tracked data in
-the workspace efficiently to match them.
+Yes, DVC is technically not a version control system! Git itself provides that
+layer. DVC in turn manipulates `.dvc` files, whose contents define the data file
+versions. DVC also synchronizes DVC-tracked data in the workspace
+efficiently to match them.
## Large datasets versioning
diff --git a/content/docs/user-guide/project-structure/index.md b/content/docs/user-guide/project-structure/index.md
index 4bf4b428bf5..ae6682bd824 100644
--- a/content/docs/user-guide/project-structure/index.md
+++ b/content/docs/user-guide/project-structure/index.md
@@ -1,9 +1,9 @@
# Project Structure
-Using `dvc init` in your workspace will start a DVC
+Using `dvc init` in your workspace will initialize a DVC
project, including the internal `.dvc/` directory. From there on, you
-will create and manage different DVC files and populate the cache
-as you use DVC and work on your data science experiments.
+will create and manage different DVC metafiles (below), and populate the
+cache with data artifacts as you work on your ML experiments.
- `dvc.yaml` files define stages that form the pipeline(s) of a project. All
stage-based features such as `dvc params`, `dvc metrics`, and `dvc plots` are
@@ -19,5 +19,9 @@ as you use DVC and work on your data science experiments.
[configuration](/doc/command-reference/config) file(s), default local cache
location, and other utilities that DVC needs to operate.
-These metafiles should be versioned with Git (in Git-enabled
-repositories).
+
+
+These metafiles are typically versioned with Git, as DVC does not replace its
+distributed version control features, but rather extends on them.
+
+
diff --git a/content/docs/user-guide/what-is-dvc.md b/content/docs/user-guide/what-is-dvc.md
index d07351a8308..209a17271d5 100644
--- a/content/docs/user-guide/what-is-dvc.md
+++ b/content/docs/user-guide/what-is-dvc.md
@@ -43,14 +43,15 @@
## DVC does not replace Git!
-DVC files such as `dvc.yaml` and `.dvc` files serve as placeholders to track
-large data files and directories for versioning (among other
-[purposes](/doc/user-guide/project-structure)). These metafiles change along
-with your data, and you can use Git to place them under
-[version control](https://git-scm.com/book/en/v2/Getting-Started-About-Version-Control)
-as a proxy to the actual data versions, which are stored in the DVC
-cache (outside of Git). This does not replace features of Git.
-
-DVC does, however, provide several commands similar to Git such as `dvc init`,
-`dvc add`, `dvc checkout`, or `dvc push`, which interact with the underlying Git
-repo (if one is being used, which is not required).
+[DVC metafiles] change along with your data, and you can use Git to place them
+under distributed [version control] as a proxy to the actual data versions,
+which are stored in the DVC cache (outside of Git). DVC does not
+replace features of Git, but rather extends on them for ML-specific needs.
+
+DVC does provide several commands similar to those in `git`, such as `dvc init`,
+`dvc add`, `dvc checkout`, and `dvc push`. DVC operations interact with the
+underlying Git repo (if one is being used, which is not required).
+
+[dvc metafiles]: (/doc/user-guide/project-structure)
+[version control]:
+ https://git-scm.com/book/en/v2/Getting-Started-About-Version-Control