Titan Drone Education
Redesigning and streamlining the documentation process for drone systems observed by our system, resulting in a 50% reduction in internal workflows and a 2x increase in accessibility
The lack of accessibility in the PDF's user experience and was a significant drawback that negatively impacted the product's appeal. The goal was clear: streamline documentation, improve accessibility, and enhance usability. The result? A 50% reduction in internal processes and a twofold increase in accessibility, making drone identification and classification more efficient for our users.
UI/UX Design
User Research
Market Analysis
ROLE
Product Designer
TEAM
Principal Full-Stack Engineer Senior Software Engineer Drone Pilots Head AI/ML Engineer
YEAR
2023-2024
Summary
Users struggled with an outdated PDF-based training system, leading to operational inefficiencies and poor knowledge retention. The Business Development (BD) team and warfighters needed a learning solution that was intuitive, reliable, and habit-forming—a resource they could return to consistently to reinforce expertise.
The project aimed to redesign the documentation process for drone systems, resulting in a 50% reduction in internal processes and increase accessibility throughout the interface. Upon joining the team, I quickly identified significant pain points in the user experience. The existing educational resources were not only cumbersome but also lacked accessibility, which undermined their potential as a selling point.
Decoding User Struggles: Insights from BD Teams
Cumbersome Documentation: Training materials existed as a long, unsearchable PDF, making information retrieval slow and inefficient.
Knowledge Retention Issues: Users struggled to retain critical drone classification knowledge due to a lack of engaging training methods.
Fragmented Workflows: Internal teams relied on multiple disconnected tools (Trello, Excel, PowerPoint) to update training resources, causing inefficiencies and lack of accountability.
Exploring the Drone World
Recognizing critical usability gaps, I initiated a user research and competitive analysis phase. Since direct user interviews weren’t possible, I turned to support tickets for behavioral insights & conversations with internal SMEs.
Stakeholder Interviews → Conversations with BD teams, warfighters, and AI/ML engineers uncovered gaps in training accessibility and classification accuracy.
Competitive Benchmarking → Industry leaders like DroneSense and Skydio provided insights into best practices for structuring drone education tools.
User Frustration Analysis → Warfighters and BD teams frequently expressed feeling lost, confused, and unable to find relevant drone data quickly.
This research guided the design strategy, ensuring that the new learning system directly addressed user frustrations.
My goal was to position the Drone Library as a mission-ready, user-centered training solution, setting Titan CUAS apart from competitors by focusing on real-time learning through an integrated, AI-enhanced classification database. The intuitive, interactive training experience would significantly reduce classification time for warfighters and BD teams, ensuring they could quickly access and apply critical information. Additionally, the system was built for scalability, seamlessly adapting to evolving drone threats and detection protocols, making it a future-proof solution for dynamic operational environments.
My goal was to position the Drone Library as a mission-ready, user-centered training solution, setting Titan CUAS apart from competitors by focusing on real-time learning through an integrated, AI-enhanced classification database. The intuitive, interactive training experience would significantly reduce classification time for warfighters and BD teams, ensuring they could quickly access and apply critical information. Additionally, the system was built for scalability, seamlessly adapting to evolving drone threats and detection protocols, making it a future-proof solution for dynamic operational environments.
Key Features & UX Enhancements
The Drone Library would transform Titan CUAS’s training system into a mission-ready, AI-enhanced learning platform, addressing critical usability gaps and enhancing accessibility. By replacing static PDFs with a searchable, categorized database, streamlining navigation, and integrating real-time data, the design would reduce classification time, improve decision-making, and increase engagement among warfighters and BD teams.
Continuous user feedback and cross-team collaboration ensured ongoing system evolution, while scalable architecture allowed seamless adaptation to new drone threats. This UX-driven approach not only boosted efficiency and knowledge retention but with this eventual release, it will position Titan CUAS as an industry leader in AI-powered drone classification and training.
This would cause a 50% reduction in process inefficiencies and doubled the accessibility of drone data retrieval, streamlining the process for users. Additionally, it would enhance knowledge retention, ensuring warfighters had accurate and timely information. On the operational and business side, the solution accelerated decision-making by providing instant access to drone classification data. It was designed with scalability in mind, allowing for continuous expansion and seamless integration of new drone models. Furthermore, it fostered higher stakeholder alignment, as AI/ML engineers.
Drones, drones, & more drones
A brand new filtering behavior & design integrated for clear processes & efficient search strategy.
Impacts & Outcomes
1. Accessibility & Usability Drive Adoption: • Replacing static documents with an interactive, searchable system significantly improved engagement. 2. Cross-Team Alignment Ensures Success: • Synchronizing BD teams, warfighters, and AI engineers around a shared vision enabled long-term sustainability. 3. Transparency in AI-Driven Systems Builds Trust: • Providing probabilistic detection insights over rigid classifications increased user trust and accuracy.
What I Learned
Throughout this journey, I learned that teams often face constraints in time and resources when pursuing innovative solutions. It is essential to advocate for the potential benefits of such innovations. Despite pushing for the Drone Library feature for over six months, I realized the importance of aligning teams on a shared vision. By successfully integrating the Drone Library into our roadmap, I set the stage for future enhancements and a more robust user experience. In conclusion, the Drone Education project not only transformed our approach to documenting drone systems but also reinforced the significance of user-centric design in the defense and aerospace industry. Through collaboration, research, and innovative thinking, we created a resource that empowers users and enhances our product's overall value.
WORK
Stick around and take a look
Stick around and take a look
HaloCortex
UI/UX Design
Branding
Accessibility design
HaloCortex
UI/UX Design
Branding
Accessibility design
VigilantHalo Interactive Training
UI/UX Design
3D Design
User Research
VigilantHalo Interactive Training
UI/UX Design
3D Design
User Research
HAVE AN OPPORTUNITY
IN MIND?
LET'S WORK TOGETHER
LET'S WORK TOGETHER
LET'S WORK TOGETHER
LET'S WORK TOGETHER
LET'S WORK TOGETHER
LET'S WORK TOGETHER
Titan Drone Education
Redesigning and streamlining the documentation process for drone systems observed by our system, resulting in a 50% reduction in internal workflows and a 2x increase in accessibility
The lack of accessibility in the PDF's user experience and was a significant drawback that negatively impacted the product's appeal. The goal was clear: streamline documentation, improve accessibility, and enhance usability. The result? A 50% reduction in internal processes and a twofold increase in accessibility, making drone identification and classification more efficient for our users.
UI/UX Design
User Research
Market Analysis
ROLE
Product Designer
TEAM
Principal Full-Stack Engineer Senior Software Engineer Drone Pilots Head AI/ML Engineer
YEAR
2023-2024
Summary
Users struggled with an outdated PDF-based training system, leading to operational inefficiencies and poor knowledge retention. The Business Development (BD) team and warfighters needed a learning solution that was intuitive, reliable, and habit-forming—a resource they could return to consistently to reinforce expertise.
The project aimed to redesign the documentation process for drone systems, resulting in a 50% reduction in internal processes and increase accessibility throughout the interface. Upon joining the team, I quickly identified significant pain points in the user experience. The existing educational resources were not only cumbersome but also lacked accessibility, which undermined their potential as a selling point.
Decoding User Struggles: Insights from BD Teams
Cumbersome Documentation: Training materials existed as a long, unsearchable PDF, making information retrieval slow and inefficient.
Knowledge Retention Issues: Users struggled to retain critical drone classification knowledge due to a lack of engaging training methods.
Fragmented Workflows: Internal teams relied on multiple disconnected tools (Trello, Excel, PowerPoint) to update training resources, causing inefficiencies and lack of accountability.
Exploring the Drone World
Recognizing critical usability gaps, I initiated a user research and competitive analysis phase. Since direct user interviews weren’t possible, I turned to support tickets for behavioral insights & conversations with internal SMEs.
Stakeholder Interviews → Conversations with BD teams, warfighters, and AI/ML engineers uncovered gaps in training accessibility and classification accuracy.
Competitive Benchmarking → Industry leaders like DroneSense and Skydio provided insights into best practices for structuring drone education tools.
User Frustration Analysis → Warfighters and BD teams frequently expressed feeling lost, confused, and unable to find relevant drone data quickly.
This research guided the design strategy, ensuring that the new learning system directly addressed user frustrations.
My goal was to position the Drone Library as a mission-ready, user-centered training solution, setting Titan CUAS apart from competitors by focusing on real-time learning through an integrated, AI-enhanced classification database. The intuitive, interactive training experience would significantly reduce classification time for warfighters and BD teams, ensuring they could quickly access and apply critical information. Additionally, the system was built for scalability, seamlessly adapting to evolving drone threats and detection protocols, making it a future-proof solution for dynamic operational environments.
Key Features & UX Enhancements
The Drone Library would transform Titan CUAS’s training system into a mission-ready, AI-enhanced learning platform, addressing critical usability gaps and enhancing accessibility. By replacing static PDFs with a searchable, categorized database, streamlining navigation, and integrating real-time data, the design would reduce classification time, improve decision-making, and increase engagement among warfighters and BD teams.
Continuous user feedback and cross-team collaboration ensured ongoing system evolution, while scalable architecture allowed seamless adaptation to new drone threats. This UX-driven approach not only boosted efficiency and knowledge retention but with this eventual release, it will position Titan CUAS as an industry leader in AI-powered drone classification and training.
This would cause a 50% reduction in process inefficiencies and doubled the accessibility of drone data retrieval, streamlining the process for users. Additionally, it would enhance knowledge retention, ensuring warfighters had accurate and timely information. On the operational and business side, the solution accelerated decision-making by providing instant access to drone classification data. It was designed with scalability in mind, allowing for continuous expansion and seamless integration of new drone models. Furthermore, it fostered higher stakeholder alignment, as AI/ML engineers.
Drones, drones, & more drones
A brand new filtering behavior & design integrated for clear processes & efficient search strategy.
Impacts & Outcomes
1. Accessibility & Usability Drive Adoption: • Replacing static documents with an interactive, searchable system significantly improved engagement. 2. Cross-Team Alignment Ensures Success: • Synchronizing BD teams, warfighters, and AI engineers around a shared vision enabled long-term sustainability. 3. Transparency in AI-Driven Systems Builds Trust: • Providing probabilistic detection insights over rigid classifications increased user trust and accuracy.
What I Learned
Throughout this journey, I learned that teams often face constraints in time and resources when pursuing innovative solutions. It is essential to advocate for the potential benefits of such innovations. Despite pushing for the Drone Library feature for over six months, I realized the importance of aligning teams on a shared vision. By successfully integrating the Drone Library into our roadmap, I set the stage for future enhancements and a more robust user experience. In conclusion, the Drone Education project not only transformed our approach to documenting drone systems but also reinforced the significance of user-centric design in the defense and aerospace industry. Through collaboration, research, and innovative thinking, we created a resource that empowers users and enhances our product's overall value.
WORK
Stick around and take a look
HaloCortex
UI/UX Design
Branding
Accessibility design
VigilantHalo Interactive Training
UI/UX Design
3D Design
User Research
HAVE AN OPPORTUNITY
IN MIND?
LET'S WORK TOGETHER
Titan Drone Education
Redesigning and streamlining the documentation process for drone systems observed by our system, resulting in a 50% reduction in internal workflows and a 2x increase in accessibility
The lack of accessibility in the PDF's user experience and was a significant drawback that negatively impacted the product's appeal. The goal was clear: streamline documentation, improve accessibility, and enhance usability. The result? A 50% reduction in internal processes and a twofold increase in accessibility, making drone identification and classification more efficient for our users.
UI/UX Design
User Research
Market Analysis
ROLE
Product Designer
TEAM
Principal Full-Stack Engineer Senior Software Engineer Drone Pilots Head AI/ML Engineer
YEAR
2023-2024
Summary
Users struggled with an outdated PDF-based training system, leading to operational inefficiencies and poor knowledge retention. The Business Development (BD) team and warfighters needed a learning solution that was intuitive, reliable, and habit-forming—a resource they could return to consistently to reinforce expertise.
The project aimed to redesign the documentation process for drone systems, resulting in a 50% reduction in internal processes and increase accessibility throughout the interface. Upon joining the team, I quickly identified significant pain points in the user experience. The existing educational resources were not only cumbersome but also lacked accessibility, which undermined their potential as a selling point.
Decoding User Struggles: Insights from BD Teams
Cumbersome Documentation: Training materials existed as a long, unsearchable PDF, making information retrieval slow and inefficient.
Knowledge Retention Issues: Users struggled to retain critical drone classification knowledge due to a lack of engaging training methods.
Fragmented Workflows: Internal teams relied on multiple disconnected tools (Trello, Excel, PowerPoint) to update training resources, causing inefficiencies and lack of accountability.
Exploring the Drone World
Recognizing critical usability gaps, I initiated a user research and competitive analysis phase. Since direct user interviews weren’t possible, I turned to support tickets for behavioral insights & conversations with internal SMEs.
Stakeholder Interviews → Conversations with BD teams, warfighters, and AI/ML engineers uncovered gaps in training accessibility and classification accuracy.
Competitive Benchmarking → Industry leaders like DroneSense and Skydio provided insights into best practices for structuring drone education tools.
User Frustration Analysis → Warfighters and BD teams frequently expressed feeling lost, confused, and unable to find relevant drone data quickly.
This research guided the design strategy, ensuring that the new learning system directly addressed user frustrations.
My goal was to position the Drone Library as a mission-ready, user-centered training solution, setting Titan CUAS apart from competitors by focusing on real-time learning through an integrated, AI-enhanced classification database. The intuitive, interactive training experience would significantly reduce classification time for warfighters and BD teams, ensuring they could quickly access and apply critical information. Additionally, the system was built for scalability, seamlessly adapting to evolving drone threats and detection protocols, making it a future-proof solution for dynamic operational environments.
Key Features & UX Enhancements
The Drone Library would transform Titan CUAS’s training system into a mission-ready, AI-enhanced learning platform, addressing critical usability gaps and enhancing accessibility. By replacing static PDFs with a searchable, categorized database, streamlining navigation, and integrating real-time data, the design would reduce classification time, improve decision-making, and increase engagement among warfighters and BD teams.
Continuous user feedback and cross-team collaboration ensured ongoing system evolution, while scalable architecture allowed seamless adaptation to new drone threats. This UX-driven approach not only boosted efficiency and knowledge retention but with this eventual release, it will position Titan CUAS as an industry leader in AI-powered drone classification and training.
This would cause a 50% reduction in process inefficiencies and doubled the accessibility of drone data retrieval, streamlining the process for users. Additionally, it would enhance knowledge retention, ensuring warfighters had accurate and timely information. On the operational and business side, the solution accelerated decision-making by providing instant access to drone classification data. It was designed with scalability in mind, allowing for continuous expansion and seamless integration of new drone models. Furthermore, it fostered higher stakeholder alignment, as AI/ML engineers.
Drones, drones, & more drones
A brand new filtering behavior & design integrated for clear processes & efficient search strategy.
Impacts & Outcomes
1. Accessibility & Usability Drive Adoption: • Replacing static documents with an interactive, searchable system significantly improved engagement. 2. Cross-Team Alignment Ensures Success: • Synchronizing BD teams, warfighters, and AI engineers around a shared vision enabled long-term sustainability. 3. Transparency in AI-Driven Systems Builds Trust: • Providing probabilistic detection insights over rigid classifications increased user trust and accuracy.
What I Learned
Throughout this journey, I learned that teams often face constraints in time and resources when pursuing innovative solutions. It is essential to advocate for the potential benefits of such innovations. Despite pushing for the Drone Library feature for over six months, I realized the importance of aligning teams on a shared vision. By successfully integrating the Drone Library into our roadmap, I set the stage for future enhancements and a more robust user experience. In conclusion, the Drone Education project not only transformed our approach to documenting drone systems but also reinforced the significance of user-centric design in the defense and aerospace industry. Through collaboration, research, and innovative thinking, we created a resource that empowers users and enhances our product's overall value.
WORK
Stick around and take a look
HaloCortex
UI/UX Design
Branding
Accessibility design
VigilantHalo Interactive Training
UI/UX Design
3D Design
User Research
HAVE AN OPPORTUNITY
IN MIND?