Career and Technical Education Program Opportunity Guide

Work plans A and B (to be completed concurrently) will help you determine the health of your existing market penetration, identify feasible partnership opportunities, and gauge the ability to solve the middle skills-gap based on a current, local market assessment. We also provide an outline of next steps, discussion questions, and potential ownership assignments for your college’s leadership team. Check out the work plans.

Learn how Louisiana State University builds a warm leads list of prioritized prospective partners by mining their open enrollment data. Then read an example from the University of Delaware where they reference current employer engagement to identify warm leads. See the examples.

Initial sales meetings are often unproductive, as HR representatives are typically far removed from the business managers who hold critical context on training needs. Discover how the University of California – Irvine created a primer assessment that is circulated to prospective partners ahead of an introductory call. Learn more.

COE custom and contract training proposals are typically constructed after a college’s initial interaction with an individual corporate executive, which can be problematic. Instead, use our template to proactively offer assessment services, demonstrate tailored customer insight in the negotiation process, and design a proposal that appeals to multiple influencers within the organization. Explore the template.

Many institutions looking to partner with employers struggle to differentiate their own offerings from alternatives in an increasingly crowded training marketplace. Circulate our brainstorming guide to members of your COE unit, academic department partners, and senior leaders to determine how to best position your college’s offerings in the employer marketplace. Check out the guide.

This checklist details three different types of market demand data: labor market, student market, and competitor data. It provides guidance on sourcing and interpreting this data to evaluate demand potential and prompts valuable questions about the sufficiency and applicability of data analyzed. See the checklist.