Case Study
Workflow Visibility Platform
Unified fragmented internal operations into a single actionable control plane.
Context
Operational teams managed status updates across disconnected tools, creating slow handoffs and misaligned reporting.
Problem
Leaders lacked real-time visibility into blocker states, while operators spent significant effort manually reconciling updates.
Role
Led product strategy and execution across design, data, and engineering with ownership from discovery through adoption.
Approach
Built a phased plan: diagnose root causes, define a normalized data model, release shared dashboards, and iteratively automate alerts.
Architecture / Workflow
- 1
Data Ingestion Layer
Consolidated updates from planning tools, ticketing systems, and communication channels.
- 2
Normalization Engine
Mapped activity streams into a common workflow state machine.
- 3
Decision Surfaces
Delivered role-based dashboards and proactive exception notifications.
Impact
- Reduced manual status reconciliation effort by 38%.
- Cut escalation response times from days to hours.
- Improved leadership confidence through a shared source of truth.
Learnings
- Standardized definitions are a prerequisite for scalable analytics.
- Alert fatigue is avoidable when ownership boundaries are explicit.
What I obsessed over
- The smallest abstraction that would scale across teams
- Clear ownership boundaries to prevent alert fatigue
- Instrumentation designed with the workflow, not after
Artifacts (sanitized)
- Workflow state machine (diagram)
- Dashboard information architecture
- KPI tree (activation / TAT / exceptions)