From Data to Decisions: How to Present Conjoint Results That Inspire Action + Build Trust

Ever pour your heart into building a brilliant model, only to watch your clients stare blankly at the results? Or maybe you're the client who spent $$$$ (and weeks) on research, only to see the final report and wonder…‘So… what should we do next?’ It’s frustrating no matter who you are! And the hard truth is, even the best data means nothing if it doesn’t inspire action. In this webinar, Megan Peitz, Founder & CEO of Numerious Inc., will teach you how to present conjoint results in a way that turns data into decisions, builds trust with stakeholders, and positions you as the go-to expert…without sacrificing the rigor your work deserves. Because the truth is, most conjoint results fail to drive action. And not because the data isn’t good, but because it’s not presented in a way that stakeholders can understand, trust, and act on. And when that happens, you risk losing credibility, influence and opportunities to deepen your stakeholder relationships. Worse, your hard work ends up collecting dust instead of driving decisions. Megan will share the exact framework they use at Numerious to present conjoint results to some of the world’s largest brands and most innovative start-ups—helping them turn insights into action and decisions into results. After the webinar, you’ll walk away with: ✅ A proven storytelling framework to structure your next conjoint presentation ✅ Templates for visualizing insights that drive action, not confusion ✅ Examples of what not to say (and what to say instead) ✅ The language product leaders actually respond to ✅ Smart, simple ways to show business impact Reserve your spot now — your next conjoint presentation depends on it. Megan Peitz is the Founder and CEO of Numerious Inc., a quantitative consulting firm that helps companies turn complex consumer data into clear, actionable strategies for growth. With over a decade of experience and a Master’s in Mathematics & Statistics, Megan is a recognized expert in methodologies like MaxDiff, conjoint analysis, segmentation, and more. Her work has been published in the Journal of Choice Modeling, and she’s a three-time winner of the Best Paper Award at the Sawtooth Research Conference (2019, 2024, 2025). Megan’s expertise spans industries like retail, technology, and healthcare, where she’s helped brands unlock transformative insights that drive real business impact. Beyond her technical expertise, Megan is passionate about mentorship and fostering a culture of creativity and continuous learning. She’s known for making even the most complex data feel accessible, empowering teams to move from analysis to confident decision-making.