Use Case #2: COA Generator

*Unfortunately, due to the strict NDA of my current employer, I cannot share the actual customer journey maps that we designed here. But below is a brief summary of the project.

Introduction

Problem Statement:

In the fall of 2022, the government requested the removal of a manual decision step early in the Air Refueling (AR) Short Notice workflow (after our development team had delivered the original workflow that was planned the previous two years). The goal was to streamline the process, as this step was deemed cumbersome and inefficient for users. While this appeared to be a straightforward change, the solution required a complex and robust functionality that pushed the limits of the team's previous work on the program.

Solution:

To address this, we eliminated the manual decision step and replaced it with an automated process that calculated how many tanker assets could fulfill specific refueling requirements. The automation needed to be flexible, allowing users to modify calculations as needed, which required implementing sophisticated algorithms and logic capable of handling updates throughout the workflow, even at later stages.

This foundational work led to the development of the Course of Action (COA) Generator Tool. This tool automatically calculates the optimal tanker unit(s) to support each request based on factors like availability, distance to the AR track, and fuel efficiency.

Team

• Collaboration with 3 Solution Architects, Product Owner and Requirements Manager
• Integral collaboration with the Subject Matter Expert

Role and Responsibilities

As part of the team, I focused on developing low- to mid-fidelity workflows and prototypes in collaboration with a Subject Matter Expert (SME). Our primary goal was to create the best user experience (UX), centering around a map visualization that displayed the routes and distances between tanker units and AR tracks. As users reviewed various "Courses of Action" suggested by the system, the map dynamically updated to show the potential impact of their decisions.

We also incorporated customization features, enabling users (Tanker Barrels) to modify calculations based on knowledge not yet integrated into the system, such as upcoming high-priority missions. Throughout the project, we worked closely with architects and iterated on the design based on user feedback in an agile process.

Context: Air Refueling Short Notice

The Air Refueling Short Notice line of business requires the Air Force to support refueling requests for aircraft in flight, centered around AR tracks (essentially "gas stations in the air"). The Tanker Barrel is responsible for allocating tanker assets to fulfill these requirements, considering factors like distance, availability, and ongoing commitments.

Conclusion:

The Customer Journey Maps produced were so effective and successful, the material was handed over to TRANSCOM in order to be briefed up the chain of command to the Secretary of Defense exemplifying specifically how CAMPS Inc. 1 is saving the military money & time optimizing their workflows over manual Legacy processes.

Future Steps:

The COA Generator Tool is currently being beta-tested in the AR’s Operational Evaluation Process, testing real-world Air-Refueling Missions. It has significantly reduced hundreds of hours of manual data input into complex spreadsheets as well as reduced the high cognitive burden that is required of the users in order to analyze which units are best suited for all types of AR missions.

The final future goal is to gather actual data points from the users when the COA Generator Tool has been officially transitioned off of all Legacy applications for those users (which is any week now).

Future data points would include:
• Time on Track (TOT)— in comparison to previous legacy workflows
• Customer Journey Mapping
• Audit on new workflows that COA Generator provides (oftentimes this include pre-positioning
to be “safe” to support high priority missions. This strategy gurantees success of the mission but
also uses a Tanker for multiple days when the tail might be more efficient elsewhere before or for
sure after that mission. Analysis on Tool providing this type of data so that the users can make
better informed decisions and be “efficient” as well as “effective.”

 


 
 

 
“Pay attention to where you are going because without meaning you might not get anywhere.”
— Winnie the Pooh (A.A. Milne)
 

 

Skills I’ve learned

Human Centric Systems Thinking

Complex App Design (DOD space)

Complex User Design (In-depth Legacy app analsyis)

UX Maturity

UX Education


 
“Think it over. Think it under.”
— Winnie the Pooh (A.A. Milne)
 

 
“Design is intelligence made visible.”
— Lou Danziger