Creative Production at Scale
Built a scalable creative and content production model supporting a distributed network of 7,500+ contributors while improving speed, consistency, and quality.
CONTEXT
Creative and content production was happening across multiple teams, product lines, and external contributors, each with different workflows, standards, and levels of visibility.
As production volume increased, inconsistent processes, manual coordination, and fragmented quality controls made it harder to scale efficiently.
The challenge was to increase capacity without creating more complexity or sacrificing the quality of the work.
Approach
I led the redesign of the production model across teams, workflows, and external partners.
The work included:
Standardizing intake, production, review, and delivery workflows
Creating shared quality standards and output guidelines
Building clearer ownership and production handoffs across teams
Developing scalable onboarding and operating processes for distributed contributors
Introducing AI-assisted workflows to reduce repetitive production work
Creating consistent feedback and quality-review loops
Improving visibility into capacity, performance, and turnaround time
The goal was to build a production system that could support significantly more work while maintaining consistency and creative standards.
Impact
Built a distributed production network of 7,500+ contributors
Increased production capacity across teams and product lines
Improved consistency across outputs and contributors
Reduced production bottlenecks and manual coordination
Enabled faster turnaround times across the organization
Introduced AI-assisted workflows while maintaining human review and quality control
Created a scalable production model that could grow without lowering the creative bar
The result was a more connected production organization with the systems, standards, and capacity required to deliver high-quality work at scale.
