L&D teams often report data accurately from learning needs assessments, surveys, or evaluations. This is a good first step! Taking it to the next level is about turning data into actionable insights for stakeholders.
This session reframes data as a language, moving from semantic reporting (what each survey question literally says) to pragmatic meaning (insights interpreted in context to drive behavior change). You’ll see how to use AI and pattern analysis to identify meaningful patterns in your mix of quantitative and qualitative data. These “experience patterns” can then be integrated into a strategic behavior-change approach, such as MOJO (Motivation, Opportunity, Job Capabilities, Outcome), to inform recommendations.
You will leave this session equipped to pull contextual meaning from data and provide it to leaders in an actionable way that connects learning results to capability, opportunity, and clear outcomes. You’ll also be able to communicate impact as a strategic narrative, aligning recommendations to behavior change and organizational goals.
