Update design.md

documentation/design.md

@@ -3,6 +3,9 @@
 ### Prototypes 
 You can view prototypes [here](https://www.figma.com/proto/bXKQi5P1RpGKSb1Ao6w0V5/Community-Transit-Tool?node-id=90-70&t=mejb94ZIzXd2Ov3v-1&scaling=scale-down&page-id=0%3A1&starting-point-node-id=90%3A70)
 
+### Design Guidelines
+Design Guidelines are saved [here](https://uchicago.box.com/s/p76s5pptblh7kelb928la7k4mj9se9c9)
+
 ### Problem Statement 
 
 Following the pandemic ridership decreased on public transit. This prevents a funding threat to public transit agencies, so increasing ridership is a top priority; however, transit agencies often lack the data to deeply understand rider behaviors and needs. We need an innovative solution to bridge the gap between policy makers and the public across the US, enabling urban transit policy makers to utilize data analytics while incorporating public feedback in transit planning. This solution should:
@@ -54,6 +57,3 @@ Decreasing Ridership: Lack of engagement and alignment with community preference
 Limited Public Input: Current feedback methods aren't attracting enough participation, resulting in narrow perspectives for route decisions. Transit policy makers don’t have a good understanding of what motivates people to use or not transit. 
 
 Inefficient Feedback Collection: Gathering and processing feedback through traditional channels like via email and via phone takes too long, delaying transit improvements.
-
-### Design Guidelines
-Design Guidelines are saved [here](https://uchicago.box.com/s/p76s5pptblh7kelb928la7k4mj9se9c9)