KADRO

People do not have one clean, rational opinion about AI. They joke about it: “I make sure to say please and thank you. So when they take over the world, they might spare me.” They worry about it: “I worry about the AI bubble popping. I worry that AI is overhyped and it’s taking too much of a role in our economy. I worry about the impact on the environment and how many data centers are being built.” And they feel genuinely more capable because of it: “There have been times when there were things I wanted to do for work, or just creatively, that I just did not have within my own self to do. And being able to use AI to do those things has made me a lot more confident.” That’s the part I keep coming back to. AI is not just an adoption curve. It’s becoming emotional, practical, funny, scary, empowering, confusing, and deeply personal. A tracker can tell you where someone lands on a 1–10 scale. But it usually can’t tell you WHY they feel that way. Or how those feelings change once AI moves from novelty to habit. Or why the same person can be excited, skeptical, dependent, and uneasy all at once. That’s why KADRO partnered with Outset to build AI P.U.L.S.E. Each month, we’re conducting hundreds of in-depth, AI-moderated 1:1 interviews to understand the why behind AI adoption, sentiment, behavior, and usage. Qualitative depth, at a scale and cadence that simply was not possible a few years ago. On July 28, Aaron from Outset and I are walking through Wave 1: what we’re seeing, what surprised us, and why we think this kind of research matters for anyone building for or communicating about AI. 🤲 Come join us: https://luma.com/4mp3wbyu 🧠 Or learn more here: https://lnkd.in/gWneqs-2

We teased it last week… and here it is! Our first joint Verisoul-Sentry case study You may have heard of KADRO - a premium insights provider that connects seasoned insights consultants with world-class brands With such high profile clientele and an ethos that puts data quality at the heart of everything they do, KADRO is always looking for the best ways to stay ahead of fraud and low quality responses. KADRO’s holistic approach to data quality covers both response quality AND respondent quality. This distinction is at the heart of their philosophy. A respondent can be a real human in the right geolocation... but leave a lousy response OR a respondent can be a fraudster spoofing their location... but write in responses that look normal With Verisoul and Sentry (by CloudResearch), KADRO has their data quality totally defended with one integration. And the data speaks for itself: ✅ 60 hours of manual review saved weekly ✅ Post-field clean-out rates reduced from 30% to 5% —-- If you want to learn more, KADRO will also be joining us on August 4 for a joint webinar with Verisoul and Cloud Research!

AI-moderated research accelerates analysis. To deliver meaningful insight, framing questions is only half the job. AI can surface patterns but still needs to be connected to the realities of the business. For insights to have influence, it needs to be structured, validated, and crafted into a clear story. See KADRO’s 3 best practices for storytelling with AI-moderated research. 👇

AI-moderated research is changing how we run studies, and we’ve seen firsthand the positive impact of this new methodology.   But with new tools come new challenges and learning.   We’re dedicating two posts with tips & tricks of how to best take advantage of this new and exciting method!   We’ve seen this firsthand: well-crafted questions lead to better insight. Thoughtful design isn’t a detail to ‘work out after few IDIs’, it’s the difference between surface-level feedback and meaningful insight. See KADRO’s 3 best practices for crafting better AI-moderated questions below. 👇

In market research, there's a critical distinction between respondent integrity and response quality A respondent can be a real human in the right geolocation... but leave a lousy response OR a respondent can be a fraudster spoofing their location... but write in responses that look normal Our customer KADRO was an expert in detecting low quality responses, but needed a banking-grade solution to help catch low-integrity respondents regardless of their response quality Enter Verisoul: ✅ 15% more fraud detected vs response quality checks ✅ Programmatically blocking users in the "bad user, bad response" category, saving dozens of manual hours per month KADRO can now easily vet new third-party partners with confidence and continue to provide high quality insights to their customers

Whether we like it or not, synthetic data is going to play an important role in research in the years ahead.   We’ve had success with synthetic data on the qualitative front.   Not as a replacement for research. But as a way to surface early signals, stress-test assumptions, and sharpen research design before real dollars are deployed.   When used correctly, it helps: • Clarify ambiguity • Expose weak logic • Improve instrument design   It’s about better orientation, not validation.   See 3 real deployment use cases below. 👇   #MarketResearch #ConsumerInsights #ResearchInnovation #SyntheticData #AIinResearch

The insights industry has wrestled with how we identify and manage “bad data” for years. These days, the challenge has evolved: the real threat isn’t just bad data, but “perfect” looking data generated by bots, click farms, and AI agents. If you're making million-dollar bets based on quantitative surveys, you need to know: Are survey takers where they say they are? Are they who they say they are? Is it even a human? The real risk isn’t bad data. It’s the bad decisions that follow. Check out Kadro’s 3 Dimensions for Trustworthy Data below. 👇