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  • Monthly Meeting: From Smile Sheets to Statistical Confidence

Monthly Meeting: From Smile Sheets to Statistical Confidence

  • Tuesday, September 08, 2026
  • 5:30 PM - 7:30 PM
  • Virtual

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

Presented by Adrian Gianni

Most learning teams collect plenty of training data—but turning that data into meaningful, credible evidence of impact is often the real challenge.

In this interactive session, you'll learn how to move beyond smile sheets and satisfaction scores to practical evaluation strategies that demonstrate the true value of learning. Through real-world examples, Adrian will show how to strengthen Level 3 behavior measurement, connect learning results to organizational outcomes, and communicate findings with greater confidence.

The best part? These approaches don't require an advanced background in statistics. You'll discover practical methods you can begin using immediately with the data your organization already collects.

Throughout the session, participants will engage in guided reflection, structured discussion, and live walkthroughs to evaluate their current measurement approach and identify opportunities for immediate improvement.

Learning Objectives

By the end of this session, participants will be able to:

  • Identify common gaps that weaken the credibility of training evaluation.

  • Apply practical methods to strengthen Level 3 behavior measurement.

  • Describe strategies for connecting learning data to organizational outcomes.

Event Schedule

5:30–6:00 p.m. – Networking

6:00–6:15 p.m. – Welcome & Chapter Announcements

6:15–7:30 p.m. – Featured Presentation

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 initiatives to business outcomes, and communicate results with greater confidence.

With experience teaching research methods and statistics at the university level, Adrian is passionate about translating complex analytics into practical, real-world workflows that learning professionals can confidently implement using data they already have.


We look forward to seeing you!

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