How can researchers reach qualified B2B participants and choose methods that fit the project’s constraints? Drawing on medical device and financial services case studies, Amy Anderson, Michael Everhart, and Sue Collin share practical considerations for recruitment and qualitative and quantitative study design.
Choosing an AI tool for qualitative and quantitative research work requires looking beyond how quickly it produces an answer. Setup, verification, revisions, and preparing the final deliverable all affect whether a tool actually saves time while protecting data quality.
In Research Rockstar’s October 13th 2026 Live Event, Kathryn Korostoff and
Free Resource: Creating Survey Banner Tables with ChatGPT and Python Can ChatGPT help streamline the process of creating survey banner tables? Absolutely—but getting accurate, reliable results requires the right instructions. Download this free resource to use as a starting point for your own survey analysis workflows. The instructions can be
If you’re in college and considering a career in market research, customer insights, or CX research, it can be hard to know where to start. Job titles vary, career paths aren’t always obvious, and networking with potential job leads can be daunting. One of the best ways to learn? Talk
All research projects are expected to stand up to scrutiny on reliability and usefulness. But when research professionals are presenting to VP-level and C-suite executives—the CFO, CMO, CEO, and other senior leaders—the scrutiny is often more intense. The stakes are higher because the risks are higher. Executive expectations may be
Boring IDIs create a practical research problem. When participants lose interest, they are less likely to stay fully engaged in the conversation and put sustained cognitive effort into their answers. A long stretch of direct Q&A can drag for both the participant and the interviewer, and that can limit how much useful information we uncover.