As organizations scale, digital learning teams often grow more capable—and more fragmented. Work emerges across functions, priorities collide, and leaders struggle to see where effort is going or what impact it’s having. The result is duplicated content, inconsistent decisions, and uneven learner experiences.

This session explores how a Digital Learning Lifecycle was created and operationalized to improve visibility, equity, and coordination across distributed digital learning teams while preserving autonomy and creativity. Rather than centralizing design or dictating solutions, the approach focuses on clarifying how work is captured, how decisions are made, and how execution is supported across the system.

These structured intake model and learning project management workflows surface context early, reveal duplication, and enables more equitable, informed decision-making. Real-world examples show how advisory input improves accuracy and efficiency while preserving local ownership. The session also explores the new execution and impact metrics that became possible once work was intentionally designed, including intake trends, prioritization patterns, throughput, and duplication signals—and the lessons learned while refining the approach over time.

In this session, you will learn to:

• Design a digital learning intake model that improves enterprise visibility without removing local ownership
• Reduce duplicated effort while preserving creativity across teams
• Use learning PM tools such as Wrike to enable coordination and transparency
• Identify a focused set of execution and impact metrics you can implement immediately