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Carbon
An operating system that accelerates the decision making of law enforcement by augmenting complex tasks with decision autonomy.
Role
Forward Deployed Designer
Timeline
Jul 2023 - Aug 2024
Skills
User research, Product design
Growing up as a minority, my family faced many racially motivated attacks and riots. Carbon is an attempt to keep protests peaceful by arming law enforcement with data so they can make better decisions.
We interviewed and observed 4 commanders and 45 SWAT officers to see how they reacted to events.
* 2019 riots with 200 civilians injured and 6 dead and similar numbers on the law enforcement side
Problem #1 / Too Much Info.
Commanders are bombarded with information from everywhere
Problem #2 / Resource Allocation
Not knowing what happens leads to poor allocation of resources leading to unnecessarily agitation or officers getting burnt.
Out of respect to the users, further operational details will not be discussed.
During a riot, everything happens everywhere all at once, meaning we need to display data in a digestible format.
Feature # 1 / Decision Autonomy
Big picture view where commanders can see where officers are and understand what each squadron faces.
Feature # 2 / Prioritizing what you see
"Granular picture view," to synthesize the many unfolding events.
Feature # 3 / Replay and Learn
Carbon provides a report and video replay for officers to learn from their actions.
Due to sensitivity reasons, the Replay Map view and additional features will not be covered. That said, feel free to check out the Augment website, where you can also find more details about our drone software.
User interviews can only get you so far. Pick one hypothesis, build a prototype fast, and demo it for feedback.
* Nov 2023, one of our many demos
Fail Fast, Learn Quickly
When you see how users use the product, you get a better understanding of how they really think and behave. We ship every 2 weeks (sometimes everyday).
This continuous iteration cycle gets you closer to the polished product every time.
Iterating for New Processes
In fact, new processes emerged around our product as they never worked with something like it before. Prototypes are crucial since it's impossible to predict new behavior from interviews.
