SELECTED WORK/LEARNING OPERATIONS
From Reactive Requests to a Scalable Learning Operation
Building a structured intake and prioritization process to improve capacity planning, visibility, and delivery.
Process improvement · Learning operations · Project management · Content governance
The challenge
Learning requests arrived from multiple business functions through inconsistent channels, often without clearly defined requirements, priorities, or timelines. The team lacked a centralized view of incoming demand and active projects, making it harder to coordinate capacity, manage competing commitments, and set realistic expectations.
The approach
01 Structure intake and prioritization
I introduced a common request process and criteria for evaluating the business need, urgency, intended audience, capacity, and delivery requirements. This helped surface missing information and support more deliberate prioritization before work began.
02 Make the work visible
I built Asana workflows with defined ownership, statuses, dependencies, and automated rules to support planning, coordination, and stakeholder visibility across concurrent requests.
03 Build consistency into quality
I established instructional development guidance, review expectations, and QA checkpoints to reduce avoidable rework and help the team deliver more consistent learning content.

The impact
The redesigned approach created a shared process for receiving, evaluating, prioritizing, developing, and reviewing learning work. It clarified responsibilities and improved operational visibility and coordination with stakeholders.
The result was a stronger, more scalable operating foundation for managing learning demand without adding unnecessary administrative work.
What this demonstrates
Operational strategy, workflow design, capacity planning, stakeholder coordination, quality assurance, and practical change leadership.
Key principle: Process improvement should reduce friction for the people doing the work.
