Prioritization Framework

Challenge

Rapid growth and multiple acquisitions increased demand for training on new internal and customer-facing technologies. With so many requests coming in, it became difficult to determine which ones truly required training and which were most important to the business.

What I Built

Strategic learning intake and prioritization framework built around a multi-factor scoring model
Standardized evaluation criteria
Weighted decision matrix
Automated prioritization tool with recommendation logic
Governance process for consistent, data-driven decisions

Impact

Learning ROI improved by 70%
100% alignment with company strategy and business priorities
Faster delivery of high-impact learning initiatives
Better L&D resource utilization
Scalable intake and governance process that held up through rapid organizational growth.

How it worked

For each request, I first determined whether training was the right solution or if another approach would work better. I prioritized requests that needed training based on business impact, urgency, audience size, and learning complexity.

I then used a consistent scoring and review process to prioritize the highest-value work, allocate resources, and adjust plans as business needs changed.

Result

A scalable, data-driven prioritization system that aligned learning investments with business strategy and maximized organizational impact.

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