Read Our Blogs
The State of Data Quality: Collaboration, Transparency, & Trust
Paradigm Named a Top Sample Company in Quirk’s September/October 2025 Issue
Data Quality at the Center: Takeaways from CRC2025
Paradigm Sample and Interbrand Release 2025 Role of Brand Report
Paradigm signs the Global Data Excellence Pledge
Paradigm Promotes Natasha Braun to Senior Vice President
Accelerating Insights Without Compromising Quality
New Strategic Partnership Enhances Brand Insights and Data Collection Capabilities
When Trust Is Tested, Integrity Matters Most!
Understanding Technical Decision-Makers in B2B: Challenges, Opportunities, and Data Quality
The Power and Nuance of Small Business Owners
GDQ: Data Quality Benchmarking Wave 2
Our Human-In-The-Loop Approach to Data Quality
Why B2B Research Is Falling Behind and What It Needs to Catch Up: Paradigm’s Take
Paradigm Wrapped 2026
Preventing Fraud Before it Happens
Paradigm’s Integrated Approach to Data Quality
Exploring the influence of AI and Synthetic Data at ESOMAR NA 2025
Understanding Technical Decision-Makers in B2B: Challenges, Opportunities, and Data Quality
In today’s B2B landscape, technology is moving fast, from cloud adoption to AI-driven automation, and technical decision-makers (TDMs) are at the center of it all. They shape business strategies, enable digital transformation, and influence operational efficiency. Yet, for all the technology available, getting accurate, high-quality data to inform decisions remains a persistent challenge. Who Are…
The Power and Nuance of Small Business Owners
Small business owners (SBOs) are not a niche segment of the economy. They are a driving force behind it. Small businesses generate roughly 44% of U.S. GDP, meaning their decisions directly influence local employment, supplier ecosystems, and consumer purchasing power. Today, there are 36.2 million small businesses in the United States, representing 99.9% of all…
GDQ: Data Quality Benchmarking Wave 2
We’ve submitted our data to Wave 2 of the Insights Association Data Quality Benchmarking Project! At Paradigm Sample, data quality is built into everything we do, from our Veraproof technology-driven validation framework to human-in-the-loop data review, all while keeping respondent experience at the core. Improving data quality is something our entire industry has to work…
Our Human-In-The-Loop Approach to Data Quality
Data quality has become one of the biggest and most underestimated risks in research today. At Paradigm, we champion data quality excellence through human oversight, transparency, and collaboration across the integrated insights ecosystem. Our team frequently takes surveys to gauge the respondent experience to ensure we balance the risk of fraud the overall respondent experience. …
Why B2B Research Is Falling Behind and What It Needs to Catch Up: Paradigm’s Take
Many teams are gravitating toward quick-turn, high-volume panels but this can make it harder to identify high quality panels. When it comes to B2B studies, it can be easy to overlook the nuance and specializations that can be represented in the ecosystem. When representing B2B in research, often teams struggle to avoid generalizing the range…
Paradigm Wrapped 2026
Looking Forward to 2026? Here’s three things to keep in mind as you plan ahead: Streamline processes to free time for strategy, not execution We recommend strategizing your operational frameworks to achieve faster turnarounds, lower costs and have more clarity on results. In our Chaos to Clarity case study, we saw first hand how having…
Preventing Fraud Before it Happens
Paradigm’s philosophy centers on prevention, not just detection. Our approach is built on several core principles: Client-Centric Approach Every project is unique. We tailor tools, quality checks, and parameters to meet each study’s specific goals and audience characteristics. Reliable Data Starts with Reliable Partners Paradigm is building a Partner Evaluation Framework that integrates performance metrics from…
Paradigm’s Integrated Approach to Data Quality
At Paradigm Sample, we take a holistic approach to data quality that combines technology, human judgment, and process discipline. Across every phase of the fielding process, our Veraproof Suite is much more than a technical implementation it’s a methodology that combines best in class proprietary and 3rd party tools into an overall process designed to ensure…
Exploring the influence of AI and Synthetic Data at ESOMAR NA 2025
This year’s ESOMAR North America conference highlighted a central theme: exploring the landscape of research as it is increasingly shaped by AI and synthetic data. Whether leveraging AI for generating outputs or synthetic data for forecasting election results, there we see a strong a connection to how Paradigm approach’s data quality in quantitative sampling. AI’s…
The State of Data Quality: Collaboration, Transparency, & Trust
Reflections from “Solving Data Quality Challenges” on the Data Gurus Podcast As AI tools, programmatic sampling, and synthetic audiences reshape how research is conducted, one truth is becoming clear: data quality cannot be a single-stage problem. It’s a full-lifecycle responsibility. In a recent episode of Data Gurus, host Sima Vasa brought together industry leaders Dyna…