diff --git a/hpvm/docs/install.rst b/hpvm/docs/build-hpvm.rst
similarity index 99%
rename from hpvm/docs/install.rst
rename to hpvm/docs/build-hpvm.rst
index 192b39276597a576b711639e7ad35c6a9559a0ba..746453ee987b63af058595b4fe2cf72ce6b29f9e 100644
--- a/hpvm/docs/install.rst
+++ b/hpvm/docs/build-hpvm.rst
@@ -1,4 +1,4 @@
-Install
+Building HPVM
 ===============
 
 Dependencies
diff --git a/hpvm/docs/getting-started.rst b/hpvm/docs/getting-started.rst
index 2ca06e2da3ef6382d86634191f06caaa8f924b78..2054c46d0a1eeaa3eb65afed8ab11696418e21d4 100644
--- a/hpvm/docs/getting-started.rst
+++ b/hpvm/docs/getting-started.rst
@@ -1,19 +1,22 @@
 Getting Started
 ===============
 
-This tutorial covers the basic usage of all components in HPVM
-(components listed :doc:`here </components/index>`).
-We will generate a DNN model, VGG16 (for CIFAR10 dataset), into HPVM code, compile it with HPVM,
+This tutorial explains how to build and use HPVM.
+
+* Before you proceed, check out the :doc:`build instruction for HPVM <build-hpvm>`.
+
+To demonstrate the workflow,
+we will generate a DNN model, VGG16 (for CIFAR10 dataset), into HPVM code, compile it with HPVM,
 perform autotuning on the compiled binary to find approximation choices (configurations),
 and profile the selected configurations to get real performance on device.
 The result will be a figure showing the accuracy-performance tradeoff of VGG16 over the
 (pre-defined) approximations and the configurations in a few formats.
 
-Please check ``test/dnn_benchmarks/model_params/`` exists and contains 
-``vgg16_cifar10/`` and ``pytorch/vgg16_cifar10.pth.tar``,
-which may not be the case if you opted out of model parameter download in the installer.
-In that case, you may run the installer again to download the parameter.
-It will not rebuild everything from scratch.
+* Please check ``test/dnn_benchmarks/model_params/`` exists and contains 
+  ``vgg16_cifar10/`` and ``pytorch/vgg16_cifar10.pth.tar``,
+  which may not be the case if you opted out of model parameter download in the installer.
+  In that case, you may run the installer again to download the parameter.
+  It will not rebuild everything from scratch.
 
 Generating and Compiling a DNN Model
 ------------------------------------
diff --git a/hpvm/docs/index.rst b/hpvm/docs/index.rst
index 81efa69e13d4d766d5c9c84c56518c14f5781d11..cd6323bcdd969b3b5f5c1343d9d93b4154301f4c 100644
--- a/hpvm/docs/index.rst
+++ b/hpvm/docs/index.rst
@@ -45,11 +45,13 @@ and experiment with new custom approximation techniques.
 Documentation
 -------------
 
+Please refer to :doc:`getting-started` for how to build and use HPVM.
+
 .. toctree::
    :maxdepth: 1
 
-   install
    getting-started
+   build-hpvm
    FAQs<faqs>
    components/index
    specifications/index