diff --git a/examples/CRD/example_study.yaml b/examples/CRD/example_study.yaml
index 9447954bd6c..6204e76b2e2 100644
--- a/examples/CRD/example_study.yaml
+++ b/examples/CRD/example_study.yaml
@@ -21,6 +21,13 @@ spec:
           min: 0.1
           max: 0.9
           step: 0.1
+   # prefix to desired storage path. This way we can generate modelLocation and logsLocation
+   # and ask users to save stuff there. We'll set these paths to env variables.
+   # This way model, later on, will be easily reusable by tf-serving etc.
+   # Also tensorboard will be easy to spawn
+   # For local storage (hopefully over pvc) this can be just root path, but it will
+   # require to specify correct pvc mounts in tfJobSpec.
+    studyLocation: s3://mybucket
     tfJobSpec:
         # Set of tf-jobs will be created with this spec
         # This will allow to use all the features of tf-job
@@ -62,7 +69,8 @@ metadata:
     name: mnist-demo-ldwpw
     tfJob: mnist-demo-ldwpw  # this will be filled after operator successfully creates tfJob, can be used to get logs, pod status etc
     optimizationScore: 0.2  # filled by operator after study is complete
-    location: s3://mybucket/mnist-demo-sgd-lr01  # optional path that will represent where model is saved. Ideally generated by us
+    modelLocation: s3://mybucket/mnist-demo-sgd-lr01/model  # optional path that will represent where model is saved. Ideally generated by us
+    logsLocation: s3://mybucket/mnist-demo-sgd-lr01/logs  # tensorboard-style logs. Scalars there can be used for ModelDB and early stopping etc
 spec:
     parameters:
     - name: optimizer