Operations teams were managing high-volume work in a system that supported listing tasks but not planning them, and captured actions but didn’t help people reconstruct what happened. The result was more manual coordination, weaker accountability, and slower reviews. The prior experience was optimized for lookup, not planning.

What success meant

  • Faster daily triage for ICs (today/overdue in seconds)
  • Workload visibility for leads (distribution + goals)
  • Audit-grade traceability for reviews (system vs human, grouped history)

The hard constraints

  • High-stakes domain, low tolerance for ambiguity
  • High volume: must be skimmable, not verbose
  • Multiple roles and mental models (IC vs lead)
  • Must work with existing data model and event logging

The Solution

The Model Behind the UI

  • Designed the taxonomy so reporting and UX used the same truth
  • Prevented ‘activity feed spam’ by collapsing detail and grouping by time
  • Optimized for reconstruction: a reviewer can answer what changed without asking around

Outcomes

  • Operational clarity: leads could check goal attainment without manual reporting
  • Planning speed: ICs could triage in seconds and plan the week in one surface
  • Auditability: reviewers could reconstruct “what changed” without side-channel context

What I owned

  • Defined the workflow model (states, priority, scheduling)
  • Designed the planning surface (KPIs, distribution, timeline, filters)
  • Created an audit-friendly Action History pattern (grouping, typing, progressive disclosure)
  • Partnered with engineering on event taxonomy + instrumentation
  • Validated edge cases and shipped iterations

Takeaways

I design workflow systems that make execution faster and accountability effortless, by pairing planning views with audit-grade history.