Workato
2025-2026
Background
Exabeam is a leader in intelligence and automation that powers security operations for the world’s smartest companies. When I joined in 2017, their flagship product that gained a lot of traction in the market was called Advanced Analytics. It was a machine-learning powered behavioral analytics tool. Their logs product was still in its infancy, and their Incident Response product had not yet been released. Together, these 3 integrated to form a SIEM (security information and event management) platform.
I joined as the first product design lead, when the design team began introducing a scalable pattern library and platform-wide user journey maps to address gaps in the current UX. Our goal was to achieve a design system that was consistent across products & flows, and could be extended in accordance with our established design principles.
Research
In addition to doing primary research by meeting with customers, we did solution research and audited the existing platform for user feedback.
Planning
We mapped out user stories belonging to each major roadmapped initiative. Above, it was “asset timelines” which allows analysts to monitor risky assets (in addition to risky users).
From lo-fidelity ideation to production assets
To help familiarize myself with the existing product, I mapped out all the major components in lo-fidelity to help facilitate design discussions with stakeholders as we worked through the quarterly roadmap.
We mocked up the key pages, such as user profiles (above) and the activity timeline (below). The first image shows the original state of this page. In addition to updating the look and feel of the interface, we added additional features and interactions.
UI systems
Our incident responder product needed a "builder" interface that allows users to build a logic-driven playbook to support the product's automation features, reducing the amount of time users would have to spend remediating incident reports (phishing, malware, etc.) manually.
The solution was a UI system that our developers could use to customize the visual framework they were building on top of.
Below are line charts. We also worked on our favorite versions of other types of visualizations, and ruled out the ones that contained inherent limitations. Things we considered deeply were color systems, how to label axises, legends, tooltips, and varying levels of zoom when looking at data over time.
Style Guide & Component Library
We created master style guides and searchable libraries of common UI components so the design team could put high-fidelity mockups together quickly whilst maintaining consistency across products and features.
Workato
2025-2026
Background
Exabeam is a leader in intelligence and automation that powers security operations for the world’s smartest companies. When I joined in 2017, their flagship product that gained a lot of traction in the market was called Advanced Analytics. It was a machine-learning powered behavioral analytics tool. Their logs product was still in its infancy, and their Incident Response product had not yet been released. Together, these 3 integrated to form a SIEM (security information and event management) platform.
I joined as the first product design lead, when the design team began introducing a scalable pattern library and platform-wide user journey maps to address gaps in the current UX. Our goal was to achieve a design system that was consistent across products & flows, and could be extended in accordance with our established design principles.
Research
In addition to doing primary research by meeting with customers, we did solution research and audited the existing platform for user feedback.
Planning
We mapped out user stories belonging to each major roadmapped initiative. Above, it was “asset timelines” which allows analysts to monitor risky assets (in addition to risky users).
From lo-fidelity ideation to production assets
To help familiarize myself with the existing product, I mapped out all the major components in lo-fidelity to help facilitate design discussions with stakeholders as we worked through the quarterly roadmap.
We mocked up the key pages, such as user profiles (above) and the activity timeline (below). The first image shows the original state of this page. In addition to updating the look and feel of the interface, we added additional features and interactions.
We dug deep into user needs and identified what data our UI would need to support, and answer questions as to how the UI would adapt and scale across varying data sets and customers.
UI systems
Our incident responder product needed a "builder" interface that allows users to build a logic-driven playbook to support the product's automation features, reducing the amount of time users would have to spend remediating incident reports (phishing, malware, etc.) manually.
The solution was a UI system that our developers could use to customize the visual framework they were building on top of.
Below are line charts. We also worked on our favorite versions of other types of visualizations, and ruled out the ones that contained inherent limitations. Things we considered deeply were color systems, how to label axises, legends, tooltips, and varying levels of zoom when looking at data over time.
Style Guide & Component Library
We created master style guides and searchable libraries of common UI components so the design team could put high-fidelity mockups together quickly whilst maintaining consistency across products and features.
Exabeam
2017-2018
Background
Exabeam is a leader in intelligence and automation that powers security operations for the world’s smartest companies. When I joined in 2017, their flagship product that gained a lot of traction in the market was called Advanced Analytics. It was a machine-learning powered behavioral analytics tool. Their logs product was still in its infancy, and their Incident Response product had not yet been released. Together, these 3 integrated to form a SIEM (security information and event management) platform.
I joined as the first product design lead, when the design team began introducing a scalable pattern library and platform-wide user journey maps to address gaps in the current UX. Our goal was to achieve a design system that was consistent across products & flows, and could be extended in accordance with our established design principles.
Research
In addition to doing primary research by meeting with customers, we did solution research and audited the existing platform for user feedback.
Planning
We mapped out user stories belonging to each major roadmapped initiative. Above, it was “asset timelines” which allows analysts to monitor risky assets (in addition to risky users).
From lo-fidelity ideation to production assets
To help familiarize myself with the existing product, I mapped out all the major components in lo-fidelity to help facilitate design discussions with stakeholders as we worked through the quarterly roadmap.
We mocked up the key pages, such as user profiles (above) and the activity timeline (below). The first image shows the original state of this page. In addition to updating the look and feel of the interface, we added additional features and interactions.
We dug deep into user needs and identified what data our UI would need to support, and answer questions as to how the UI would adapt and scale across varying data sets and customers.
UI systems
Our incident responder product needed a "builder" interface that allows users to build a logic-driven playbook to support the product's automation features, reducing the amount of time users would have to spend remediating incident reports (phishing, malware, etc.) manually.
The solution was a UI system that our developers could use to customize the visual framework they were building on top of.
Data visualizations
Below are line charts. We also worked on our favorite versions of other types of visualizations, and ruled out the ones that contained inherent limitations. Things we considered deeply were color systems, how to label axises, legends, tooltips, and varying levels of zoom when looking at data over time.
Style Guide & Component Library
We created master style guides and searchable libraries of common UI components so the design team could put high-fidelity mockups together quickly whilst maintaining consistency across products and features.