Your next training program may work and still struggle to earn continued funding. If learning and development (L&D) and business leaders never agreed on what success would look like, completion rates won’t settle the question. Before you build, define the business result, the evidence that will demonstrate progress and who owns it. This session shows you how to make that agreement upfront, so you can build a credible value case instead of defending activity after launch.

Join Doug Stephen, president of CGS Immersive, as he demonstrates how a structured design session can turn a training request into a shared performance and measurement plan. In this interactive session, you’ll identify one critical on-the-job moment, choose a business metric and frame a 90-day experiment. You’ll also see how to apply the approach to artificial intelligence (AI)-enabled work, where adoption alone doesn’t establish value.

This interactive talk will provide practical guidance to help you:

• Turn a training request into a measurable business objective, with a baseline, target and named outcome owner.
• Plan a pre-build working session with business leaders, operations and frontline representatives to agree on performance gaps, evidence and accountability.
• Build a defensible value case using one or two transparent calculations, such as faster time-to-competence or reduced rework, with explicit assumptions.
• Frame a 90-day experiment around one critical performance moment — including how to assess AI-enabled work beyond tool adoption.

Register Now

View full agenda.

Speaker

Doug Stephen, President, CGS Immersive Doug Stephen is president of CGS Immersive. His work connects learning strategy, immersive training and AI-powered practice with workforce readiness and business performance. In this session, he draws on CGS Immersive program examples to show how L&D and business leaders can define outcomes, agree on evidence and build a measurable value case before developing training.