Webinar | Micro Modeling
Ben Cortese leads KS&R’s Decision Sciences & Innovation team, where he focuses on advanced quantitative methodologies, synthetic data evaluation, AI governance, and model validation. With more than a decade of experience applying statistical and analytical techniques to complex research challenges, Ben helps organizations assess emerging methods with rigor, transparency, and confidence.
Ben is leading KS&R work on the ECHO Index, a framework designed to evaluate the quality, reliability, and trustworthiness of synthetic data by benchmarking it against human response. He holds a PhD in statistics from Syracuse University and brings a practical, evidence-based perspective to how synthetic data can be tested, understood, and responsibly applied in research.
Allison is an experienced director with a penchant for unraveling complex datasets and distilling them into actionable insights. With a background in Cognitive Neuroscience and Statistics, she's KS&R’s go-to quantitative expert, especially within the Healthcare Industry Team. Allie's proficiency in machine learning and diverse statistical techniques makes her an asset across all industry verticals. She excels in methodologies such as segmentation, conjoint analysis, and advanced modeling. Outside of work, Allie enjoys outdoor pursuits with her husband and two English bulldogs. Exploring nature and discovering dog-friendly city spots are her passions. Allie's blend of analytical expertise and genuine enthusiasm enriches both our team and the solutions we deliver to clients.
Refine and strengthen your research methodology with our in-depth discussion on Micro Modeling – our framework for small sample alternatives to traditional online research methodologies, specifically for trade-off activities.
As presented by Ben Cortese and Allie Pierce at the Quant UX Con 2024, learn how our carefully validated guardrails can enhance and structure your existing research processes, ensuring they are as robust and reliable as ever. This webinar offers a thorough overview, followed by detailed technical analysis, equipping you with the knowledge and tools for successful application.
During this session, we address key questions, such as:
- Do respondents provide higher quality quantitative data when engaged through in-depth interviews (IDIs)?
- Is it feasible to achieve valid outcomes by collecting quant data through qualitative techniques, even with smaller sample sizes?
- What are the potential limitations or necessary precautions when implementing this research approach?
Who Should Watch This Webinar?
Market Researchers, Design Researchers, UX , Data Analysts, and anyone facing the challenge of conducting research with limited sample sizes will find this on-demand webinar invaluable. Whether you’re looking to refine your existing methods or seeking strategies to maximize the impact of your research, this framework offers critical insight into how to be successful.
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