Upcoming 55-Minute Live eLearning Events for Market Research Pros

We are excited to invite you to our upcoming, instructor-led Live Events on important topics for all of us who work in Market Research & Insights. Conducted via Zoom, these events offer a unique chance to expand your knowledge, interact with expert instructors, and engage with peers, all from the comfort of your own space. Scheduled for 55 minutes each, to save you 5 minutes before your next meeting. Click Here to Sign Up.

Upcoming Events & Details:

How to Do Survey Data Analysis in Excel with Copilot

When: Tuesday, April 14 @ 1:00 PM ET.
Instructor: Jeff McKenna
Topic: How can researchers use Excel with Copilot to efficiently analyze survey data without specialized statistical software? This session will demonstrate practical workflows for producing frequencies, means, medians, and subgroup comparisons using Excel’s built-in tools enhanced by Copilot. Attendees will see how to translate common analysis questions into prompts and outputs that support faster, more confident survey reporting.
Learning Objective: After this Live Event, participants will be able to analyze survey data in Excel using Copilot to generate descriptive statistics and subgroup comparisons that support clear, defensible insights.

Level: 2—For those with basic market research knowledge, typically 2-5 years in the field.
Format: How-to.

Mixed-Method at Scale: Qual + Quant Hybrid Designs

When: Thursday, April 23 @ 3:00 PM ET.
Instructor: Kathryn Korostoff & Guests
Topic: Mixed-methods research at scale requires intentional integration of qualitative and quantitative approaches to strengthen survey design and interpretation. This session will illustrate how qualitative inputs—such as in-depth interviews, online communities, and social media listening—can inform questionnaire development, segmentation, and interpretation of quantitative findings. Attendees will see how hybrid designs improve validity, context, and decision confidence when executed with clear research objectives.
Learning Objectives: Those attending will leave ready to make evidence-based methodology recommendations for mixed-methods designs that integrate qualitative insights to improve large-scale quantitative research outcomes.

Level: Any—Suitable for all levels.
Format: Application.

Understanding Data Reliability & Confidence Intervals

When: Tuesday, May 12 @ 1:00 PM ET.
Instructor: Julie Worwa
Topic: Interpreting survey results requires a clear understanding of data reliability, confidence intervals, and variability. This session will explain what confidence intervals represent, why they are often misunderstood, and how variability affects the stability and precision of survey estimates. Attendees will gain practical guidance for interpreting small versus large confidence intervals when evaluating differences, trends, and business implications.
Learning Objective: Upon completion, attendees will be able to confidently analyze confidence intervals and variability in survey data to assess reliability and avoid over-interpreting unstable results.

Level: Any—Suitable for all levels.  
Format: Application.

Mastering AI Prompts for Research Report Writing

When: Thursday, May 28 @ 3:00 PM ET.
Instructor: Kathryn Korostoff & Guests
Topic: How can researchers design AI prompts that support accurate, disciplined research report writing without introducing outside data or unsupported assumptions? This session will demonstrate structured prompting techniques—including prompt chaining and reflective prompting—to improve clarity, traceability, and analytical rigor in AI-assisted reporting. Attendees will see how to guide AI outputs to summarize findings, draft narratives, and maintain methodological integrity.
Learning Objective: After this Live Event, researchers will be ready to confidently use advanced prompting strategies to draft research reports with AI while controlling for accuracy, scope, and overgeneralization.

Level: Any—Suitable for all levels. 
Format: Tool Demo.

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