Ping | Senior UX Designer | Enterprise SaaS Platform |

Platforms: Web, Internal Tools, B2B SaaS

​

Overview

Ping is an enterprise platform designed to manage configuration, validation, and deployment workflows at scale.
It enables teams to evaluate system changes, understand downstream impact, and execute deployments with confidence.

​

Role & Leadership

Led product design across core system workflows, including configuration validation, dependency analysis, and deployment decision-making.

​

The Challenge

Teams lacked visibility into how configuration changes impacted interconnected systems, making deployments risky, opaque,
and difficult to manage at scale.

​

Strategy

Designed a structured decision framework that surfaces validation results, dependency impact, and risk signals,
enabling operators to confidently evaluate and deploy changes.

​

System Architecture & Deployment Flow

Visualizing how configuration data flows through validation, dependency analysis, and deployment systems

​

 

 

 

 

 

 

 

 

 

 

​

​

​

​

​

​

​

​

 

 

 

​

System & Workflow Design

A core part of the work involved defining how engagement data moved through the system and how users interacted with it.

This included structuring experiences where users could monitor performance, identify trends, and take action within the same flow.
The system was designed to support a continuous loop between insight and action, rather than treating analytics as a passive layer.

Interaction patterns were developed to simplify complex data, reduce cognitive load, and make system behavior more predictable and usable.

​

Design & Execution

Design work focused on translating system complexity into clear, modular interfaces that supported usability at scale.

This included shaping dashboard structures, defining interaction patterns, and establishing consistency across different areas of the product.
The goal was not just visual clarity, but ensuring that each interface supported a meaningful step in the user’s workflow.

Design decisions were made in close collaboration with product and engineering,
ensuring that the experience aligned with both system capabilities and business goals.

​

Operator Workflow & Decision Layer

Visualizing how configuration data flows through validation, dependency analysis, and deployment systems

​

​

​

​

​

​

​

​

​

​

​​

​

​

​

​

​​

​

​

​

​

​

​

​

​

​

​

​

​

​

Outcome

The work improved clarity across the platform and increased adoption of analytics-driven features
by making workflows more intuitive and actionable.

It also established a scalable UX foundation that supported the continued evolution of the product,
helping align future development around consistent patterns and clearer system behavior.

​

System Health & Observability

Providing real-time visibility into deployments, system performance, and operational risk

​

​

​

​

​

​

​

​

​

​

​​​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​​

​

​

​​​​

​​​​

Key Takeaways

Working in a startup environment reinforced the importance of creating structure early, without over-engineering solutions.

The project highlighted that data alone does not create value unless it is tied to clear actions,
and that effective UX in complex systems depends on how well workflows are defined, not just how interfaces are designed.