Monthly Meeting: From Smile Sheets to Statistical Confidence

From Smile Sheets to Statistical Confidence: Practical Strategies for Defensible Training Evaluation

with Adrian Gianni

Most learning teams collect large amounts of training data but struggle to translate it into credible evidence of impact. This interactive session shows how to move beyond basic satisfaction metrics toward practical, defensible evaluation approaches that align with organizational decision-making.

Participants will work through real-world examples demonstrating how to strengthen Level 3 behavior measurement, connect learning data to business outcomes, and communicate results with greater confidence. The session emphasizes pragmatic methods that can be implemented using data organizations already collect—no advanced statistical background required.

Engagement strategies include guided reflection prompts, structured discussion, and live walkthrough examples that allow participants to evaluate their current measurement approach and identify immediate improvement opportunities.

LEARNING OBJECTIVES

✅ Identify common gaps that weaken training evaluation credibility

✅ Apply practical methods to strengthen Level 3 behavior measurement

✅ Describe ways to connect learning data to organizational outcomes

Schedule:

5:30 - 6:00 P.M.  Networking Time

6:00-6:15 P.M. Welcome and Announcements

6:15-7:30 Session 

About Adrian Gianni

Adrian Gianni is a training evaluation consultant and adjunct psychology professor specializing in practical, defensible measurement strategies for learning and development teams. He is the creator of Evaluation Trakker, an applied evaluation ecosystem designed to help organizations strengthen Level 3 behavior measurement, connect learning to business outcomes, and communicate results with greater confidence. Adrian has taught research methods and statistics at the university level and focuses on translating complex analytics into clear, real-world workflows that practitioners can implement using data they already collect.