diff --git a/README.md b/README.md
index 5dde6c4..f15e5a8 100644
--- a/README.md
+++ b/README.md
@@ -8,9 +8,35 @@ A testbench for experimenting with Apache Hive at any data scale. You can deploy
 
 Kickoff
 =======
-You can kickoff the 10 iterations of 1 TB run with
+* You can kickoff the 10 iterations of 1 TB run with
 
-``curl https://raw.githubusercontent.com/hdinsight/HivePerformanceAutomation/master/tpch-scripts/RunTpch.sh | bash 1000 PASSWORD 10 ``
+    ``curl https://raw.githubusercontent.com/hdinsight/HivePerformanceAutomation/master/tpch-scripts/RunTpch.sh | bash 1000 PASSWORD 10 ``
+
+* You can run one iteration of the suite from the headnode of your cluster by running the following command from ``hive-testbench/tpch-scripts``
+
+    ``./RunQueriesAndCollectPATData.sh SCALE_FACTOR CLUSTER_SSH_PASSWORD [RUN_ID]``
+
+    ``RUN_ID`` is an optional argument. All the data for a run is collected under the ``hive-testbench/run_$RUN_ID`` folder. If the ``RUN_ID`` is not supplied then the current timestamp is used as the runId.
+
+* You can run multiple iterations of the suite from the headnode of your cluster the following command from ``hive-testbench/tpch-scripts``
+
+  ``./RunSuiteLoop REPEAT_COUNT SCALE_FACTOR CLUSTER_SSH_PASSWORD``
+
+    for ex: ``./RunSuiteLoop 10 1000 H@doop1234``
+    would run 10 iterations of the TPCH suite for a scale factor of 1000 (1TB)
+
+* You can Run a Single Query from the headnode of your cluster by running the following command from ``hive-testbench/tpch-scripts``
+
+    ``./TpchQueryExecute.sh SCALE_FACTOR QUERY_NUMBER [RUN_ID]``
+
+* You can run multiple iterations of a single query by running the following command from ``hive-testbench/tpch-scripts``
+
+    ``./RunSingleQueryLoop QUERY_NUMBER REPEAT_COUNT SCALCE_FACTOR CLUSTER_SSH_PASSWORD``
+
+* you can run the following script from ``hive-testbench/tpch-scripts`` to get the perf data collected for a run 
+
+    ``./CollectPerfData.sh RUN_ID [RESULTS_DIR] [PERFDATA_OUTPUTDIR] [SERVER]``
+    ``RUN_ID`` is the id of the run for which you want to collect perfdata
 
 Overview
 ========