Selected Work:
Saving organizations $350K per hour and expanding AppDynamic’s addressable market, through lean UX design of a frontend Event onboarding schema and 0-1- like design of a user experience for monitoring and investigating Events.
Full-stack observability means being able to correlate events from multiple domains regardless of the entities they're associated with. This wasn’t always the case for the Cisco Cloud Observability Platform, formerly known as Cisco FSO and AppD Cloud.
The Problem: SREs (Site Reliability Engineers), Ops, and Security teams at large enterprises have always relied on AppDynamics to monitor their applications. However, investigating incidents was slow, fragmented, and frustrating:
Users had to switch between six or more UI pages to correlate event data across services.
Context-switching led to decision fatigue, slowing down issue resolution.
Each minute of downtime costs companies ~$5,600, making every second count.
Solution: Design an intelligent, streamlined userflow and experience that would enable comprehensive visibility and efficient troubleshooting, empowering SREs to detect and resolve issues faster.
Project Duration: 4 weeks, plus CICD
My Role: Lead Product and UX Designer, Research
Product Area: Cloud Observability Platform
Driving a 9% increase in product expansion renewals, YoY, through research-informed and data-driven UX design to simplify access to and interpretation of License usage and availability data, for Admin and Super Admin users.
The AppDynamics Account Management Portal (AMP) is the central hub for license and access management across Cisco’s Full Stack Observability ecosystem. It serves thousands of enterprise users daily, allowing them to provision, forecast, and reconcile their software entitlements.
The Problem: In 2023, AppDynamics Cisco introduced the Cloud Observability Platform (CCOP)—a cloud-native, OpenTelemetry-based monitoring tool. Unlike previous AppDynamics products, which were licensed per agent or vCPU, CCOP introduced a data ingestion-based licensing model.
Because the existing AMP was designed for traditional licensing models it lacked an intuitive way for Admins to track and manage CCOP license consumption.
Impact on Business:
Confusion over consumption drivers led to inefficient provisioning and forecasting.
The lack of clear insights into license usage affected customer sentiment.
Solution: Design an intuitive product lifecycle management experience that clearly communicates to Admin users license consumption, cost drivers, and availability for Cisco’s Cloud Observability Platform.
Project Duration: Two months + CICD
My Role: Lead Product and UX Designer
Product: Licensing, Account Management Portal
Socializing Spike Research to Influence AI Product Strategy: Reducing Mean Time To Value Through ML-Optimized Business Transaction Configuration.
Before: BT Configuration was a multi-task workflow, combining BT and Application configuration
After: (UXR Proposal) workflow simplified into two AI supported workflows
AppDynamics provides Application Performance Management (APM) for enterprises customers, allowing companies to monitor and optimize their software applications. A critical feature of the platform is Business Transactions (BTs)—a method for detecting, tracking, and visualizing application traffic flows. Research reveled that Business Transactions has long been a pain point for users:
Sales Engineers (SEs) reported that complex BT configuration was a dealbreaker for potential customers.
All users struggled to understand BT setup, leading to frustration and low feature adoption.
Inefficiencies in the workflow created barriers to renewal, impacting sales retention and customer satisfaction.
Findings:
Poor discoverability of BT configuration workflow created significant user friction, with users unable to reliably and efficiently locate critical functionality needed for product adoption.
Confusing terminology and lack of contextual guidance complicated an already complex data configuration task, extending onboarding times.
ML and GenAI opportunities remained stalled due to misaligned priorities, communication gaps, and need for UX alignment of business and user value to be gained.
Outcomes Influenced:
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.
Project Duration: Two month Spike study
My Role: User Experience Researcher
Product: AppDynamics Controller, Business Transactions