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Challenge
Challenge
Rapid growth driven by strong business demand and multiple mergers and acquisitions increased the volume of learning requests for new, internally and externally facing technologies, making it hard to tell which requests reflected a genuine learning need and which actually mattered most to the business.
What I Built
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
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
How it worked
For every request, I first determined whether it actually called for a learning solution or a different kind of intervention entirely. Requests that moved forward were scored on business impact, business value, audience size, and urgency, and on learning complexity, task frequency, difficulty, and learner experience. Combining those scores let me rank requests objectively rather than by whoever asked loudest, and a standardized governance process validated priorities, allocated resources, and adjusted the roadmap as business needs shifted.
Result
Result
A scalable, data-driven prioritization system that aligned learning investments with business strategy and maximized organizational impact.
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