4 New 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:

AI Tools That Cut Qualitative Analysis Time in Half

When: Tuesday, March 10 @ 1:00 PM ET.
Instructor: Kathryn Korostoff & Guests
Topic: How can researchers use AI tools to accelerate qualitative analysis for IDIs and focus group transcripts without compromising rigor or insights quality? This session will demonstrate multiple AI-assisted approaches for coding, summarization, and theme development, while showing where human judgment is still required to avoid misinterpretation, overgeneralization, and missed nuance. Attendees will see practical examples of how to integrate AI into existing qualitative research workflows and evaluate tool outputs critically.
Learning Objective: After this Live Event, researchers will be ready to confidently apply multiple AI tools to speed qualitative analysis for interview and focus group transcripts, assess output quality, and identify common risks when relying on AI-generated insights.

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

Managing Up for Researchers: Demonstrating Impact and Earning Trust

When: Thursday, March 26 @ 3:00 PM ET.
Instructor: Jeff McKenna
Topic: Managing up as a researcher requires clearly demonstrating impact, aligning insights to business priorities, and building credibility with senior stakeholders. This session will translate proven management-up principles into practical strategies researchers can use to communicate value, anticipate executive concerns, and position research as a decision-making asset rather than a cost center. Attendees will leave with a structured, time-bound approach for strengthening trust and influence with leadership, informed by perspectives commonly discussed in Harvard Business Review.
Learning Objectives: Participants will leave equipped to create and implement a practical 60-day plan for managing up, demonstrating research impact, and strengthening trust with senior business stakeholders.

Level: Any—Suitable for all levels.
Format: Hot Topics.

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-Methods 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 Objective: 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.

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