Designing clarity in complex systems.
Data-driven, human-centered product design for B2B enterprise SaaS: turning intricate workflows into intuitive experiences.
Selected Work:
Streamlining Event Localization to Reduce Time to Resolution for SRE Users.
User Problem: When responding to alerts and health rule violations, SRE and DevOps users need a way to simultaneously view all Events over time — while maintaining relevant context — so they they can more quickly and confidently localize the potential root cause Event, resolve performance issues, and mitigate downtime.
Design Approach: Data-driven: Secondary Research, Stakeholder + User Interviews, Heuristic Assessment, Sketch Ideation, Co-design and Prototyping.
Based on the PM’s idea and stated goals, I conducted user-centered research activities to define a user experience MVP. We first defined terminology for common understanding, then I sketched wireframes to share potential solution approaches with users. Through socialization, iterative design, and feedback loops, I designed a solution that solved our business problem, streamlining multiple disjointed workflows into one. I added additional value by uncovering a tacit user need for contextual metadata during troubleshooting — and making that available to users — so that they can accurately and efficiently localize target Events.
Driving a 9% increase in customer expansion renewals, through intuitive design of Admin insight dashboard.
User Problem: Admin and Super Admin users of the AMP need a straightforward user experience and intuitive data visualizations to help them understand the relationship between data ingestion and license consumption to evaluate the value of their subscription and right size future provisioning.
Design Approach: Data-driven design: User Interviews, A/B Testing, Feedback Sessions and Prototyping, I uncovered that we were conflating the Admin’s need for clarity around license availability and cost; they were two distinct needs, require two — not one — UX solution. I designed effective a user flow with intuitive data visualizations that would help the Admin improve forecasting accuracy.
Reducing Mean Time To Value Through ML-Optimized Business Transaction Configuration
Research Questions: What is the core cause of friction during POV? How might automation decrease time to value and improve user experience with BT configuration?
Research Impact:
Secured dedicated Data Science resources to explore and develop ML-driven automation strategies for configuration workflows, reducing manual user effort.
Catalyzed design and content team efforts to reevaluate site navigation and Information Architecture, resulting in enhanced user experience and discoverability.
What People Are Saying:
Understand Deeply
Every project starts with listening. I dig into user behaviors, business goals, and systemic constraints before opening Figma. Research isn't a phase, it's the foundation.
Think in Systems
Enterprise products are ecosystems. I design holistically — connecting workflows, edge cases, and user mental models into experiences that make complexity feel effortless.
Measure What Matters
Design decisions should have receipts. I pair intuition with data to validate impact, track adoption, and iterate with confidence...not just vibes.
Get in touch.
Send me a message using the form, or connect with me via LinkedIn