Ahoy!

I design AI-driven experiences that simplify complex workflows and deliver measurable impact. With 16+ years at startups and global enterprises including Tealium, Cypress.io, CallRail, CNN, and MTV Networks, I combine visual craft, systems thinking, and data-driven design to create scalable, high-impact solutions.

 
 
 

The Design

1. Make Test Case Debugging First-Class

  • Clear failure summary, stack traces, run history

  • Reduced clutter, surfaced actionable context

  • Shifts experience from “view results” → “understand & fix”

Optimized for diagnosis, not reporting

2. Identify Unreliable (Flaky) Tests

  • Reliability indicator at test level

  • Failure frequency across runs

  • Separates intermittent vs consistent failures


3. Aggregate Errors to Reveal Systemic Issues

  • Grouped errors by type and frequency

  • Ranked by impact

  • Drill-down to affected tests

  • Focus teams on root causes, not individual failures

4. Reduce Visual Noise & Improve Scanability

  • Removed low-value metadata

  • Improved hierarchy and spacing

  • Highlighted actionable details

  • UI feels faster, purpose-driven, usable at scale

Removed noise, elevated signal.


Impact

Platform Impact

  • Faster investigation: Identify & fix flaky tests ~70% quicker

  • Prioritized fixes: Focus on failures that block merges or affect most tests

  • Critical workflow tool: From reporting → actionable diagnosis

  • UX NPS: +75 developer satisfaction score (high likelihood to recommend; notable adopters include Pendo, Gusto, and Productboard)

Business Impact

  • Subscription upgrades: ~15% of teams on the free plan upgraded to paid to access Test Analytics

  • Revenue uplift: Paid tier adoption contributed to a 16 % increase in quarterly ARR after launch

  • Developer velocity: Faster debugging reduced cycle time, supporting quicker releases

  • Retention boost: Higher usage and confidence in Cloud features correlated with improved customer retention

What I Would Do Differently

  • Add trend views to track reliability over time

  • Enable ownership workflows (assign flaky tests / error groups)

  • Prioritize failures that block merges most often

  • Move from diagnosis → full reliability management