Insight Integrity Archives

Panel Size Is a Vanity Metric. Quality Is a Different Story.

DWG Admin on March 11, 2026

A research team needed 30 consumers for a two-day product evaluation. The specs were specific but not unusual: primary grocery shoppers, aged 30 to 55, with children in the household, no prior participation in a food study within the past six months. The recruiting partner confirmed all 30 within 48 hours.

By the second day, the moderator flagged a problem. Several participants gave responses that felt rehearsed. Two couldn’t recall the product category they claimed to purchase regularly. One admitted, during a break, that she’d also participated in a food study the previous month through a different panel.

The project wasn’t salvageable. Not because the screener was flawed or the methodology was weak, but because the panel behind it couldn’t deliver what it promised. The team spent weeks designing a study that would produce actionable product development insights. They lost that investment not to a methodological error, but to a recruiting infrastructure that prioritized filling seats over filling them well.

Scenarios like this one are more common than most teams realize. They rarely make it into industry reports because the symptoms are ambiguous: inconclusive findings get attributed to weak discussion guides, low-energy groups get blamed on moderator style, and inconsistent data gets written off as natural variation. The root cause, panel quality, goes unexamined because it’s invisible to everyone except the recruiting partner.

The Metric That Gets All the Attention

Panel size is the first number most research buyers see when evaluating a recruiting partner. It’s in the pitch deck, the capability statement, the website headline. And it’s not irrelevant. A larger panel does improve the probability of finding niche audiences, reaching specific geographies, and filling studies on tight timelines.

But size alone reveals very little about whether those participants will show up prepared, engaged, and honest. It says nothing about how they were recruited, how recently their profiles were verified, whether they’ve been over-researched, or how the panel provider manages the inevitable churn that every community experiences over time. Size is the easiest thing to measure about a panel. It is also the least predictive of research quality.

The industry has recognized this at a conceptual level. Data quality has been a headline topic at major conferences for several years running, and most insights professionals can articulate why it matters. The gap is in how that awareness translates into partner evaluation. Too often, the conversation about panel quality ends at the RFP stage, with a checkbox for panel size and a vague question about fraud prevention.

What Actually Determines Panel Quality

A research panel is not a list. It’s a managed system, and the quality of that system depends on what happens at every stage of the participant lifecycle: how people enter, how they’re maintained, and how problems are identified before they reach a study.

Recruitment with intention. The distinction between a high-quality panel and a convenience sample often starts at the point of recruitment. Panels built through broad digital advertising or incentive-driven sign-up flows tend to attract participants who are motivated by compensation rather than genuine interest in sharing their perspectives. That’s not inherently disqualifying, but it creates a profile skew that compounds over time. Panels built through community engagement, referral networks, and diversified outreach tend to produce participants who are more representative, more engaged, and more likely to provide thoughtful responses.

Identity verification that goes beyond self-report. Asking someone to confirm their own demographics during sign-up is a starting point, not a safeguard. Effective identity verification layers multiple checks: cross-referencing profile data against third-party databases, using digital fingerprinting to flag duplicate accounts, and implementing re-verification at regular intervals rather than relying on a single intake screen. In an era where synthetic identities and professional survey-takers are increasingly sophisticated, verification needs to be continuous, not one-time.

Active panel management. A panel that isn’t actively maintained degrades. Profiles go stale as life circumstances change. Participants who were engaged two years ago may now be disengaged, over-researched, or simply unreachable. Active management means regularly updating participant profiles, monitoring engagement health, enforcing participation frequency limits, and retiring members who no longer meet quality standards. It’s the operational work that doesn’t show up in a capability statement but determines whether the panel delivers when it matters.

Quality systems, not just quality claims. Most recruiting partners will tell you they prioritize data quality. The question is whether that commitment is structural or aspirational. ISO certifications (27001 for information security, 20252 for market research) provide an external verification layer. They don’t guarantee perfection, but they do confirm that documented processes exist, that those processes are audited, and that the organization has invested in the infrastructure required to maintain them. In an industry where “quality” is claimed by everyone, third-party validation carries weight.

A Structural Tension Worth Naming

One factor that quietly contributes to panel quality challenges is the blurring of boundaries between quantitative and qualitative panels. As demand for qualitative research has grown, some organizations have turned to quantitative panel sources to fill qualitative studies. The logic is understandable: the pool is larger, the cost per recruit is lower, and the timeline is faster.

The tradeoff is real, though. Participants recruited and managed for survey completion behave differently than participants recruited and managed for conversation-based research. The skills are different. The engagement expectations are different. The screening rigor required is different. A participant who excels at completing a 15-minute online survey may not be equipped to contribute meaningfully to a 90-minute focus group about product experience.

This isn’t a criticism of quantitative panels. They serve an essential function. But when qualitative studies are staffed from quantitative sources without adjusting for those differences, the result is often the kind of quality issue that surfaces mid-project: flat responses, inconsistent recall, and participants who feel like they’re completing a task rather than sharing a perspective.

Asking Better Questions

The insights professionals who get the most reliable participant quality tend to ask their recruiting partners a different set of questions than what appears on a standard RFP. They ask about recruitment sources and how those sources are diversified. They ask about the frequency with which participant profiles are updated and how long inactive members remain in the system. They ask about participation limits and how those are enforced. They ask what happens when a participant fails a quality check during a study, and whether that information feeds back into the panel management process.

These aren’t gotcha questions. They’re the kind of operational inquiry that distinguishes a team evaluating infrastructure from a team evaluating a brochure. And the answers reveal a great deal about whether a recruiting partner treats panel quality as a core capability or a marketing message.

There’s a pattern worth noting here. Teams that ask these questions early in the relationship tend to experience fewer quality issues throughout the project lifecycle. The questions themselves signal to the recruiting partner that quality will be monitored, not assumed. That accountability, established at the outset, shapes how the partner prioritizes your study relative to the dozens of others they may be running simultaneously.

The Infrastructure Behind the Insight

At L&E Research, we think about panel quality as an infrastructure problem because that’s what it is. Our panel of more than 1.6 million U.S. participants is recruited with intention, verified through layered identity checks, and actively managed to ensure that profiles stay current and engagement stays genuine. We maintain ISO 27001 and ISO 20252 certifications because we believe quality systems should be audited, not just asserted.

None of that is visible from a capability statement. It’s visible in the quality of the participants who show up to your study, prepared and engaged, ready to share something real.

That’s the different story. And it’s the one worth paying attention to.

Beyond the Pattern: Insights Only Real People Can Reveal

Chris on December 8, 2025

Artificial intelligence is reshaping the insights industry at an extraordinary pace. AI qualitative research has introduced new tools, new models, and new workflows that continue to push the boundaries of what is possible, tempting researchers with faster timelines and cleaner datasets. Yet beneath that excitement sits an important question: where does synthetic data strengthen the work, and where does it still fall short?

To explore that question, L&E Research conducted two complementary studies. The first took place in the spring and centered on bathroom habits, an intentionally human, messy topic that revealed notable gaps in how synthetic respondents interpret personal behaviors and contextual cues. The second study, completed this fall, examined breakfast habits using a more advanced methodology built inside CondUX. This allowed us to test how synthetic respondents handled logic-heavy branching, object detection, and emotionally driven open-ended tasks, all in parallel with a panel of sixty real people.

Together, these studies gave us a grounded, evidence-based view of what synthetic data can do well and where human insight still matters. The findings are neither alarmist nor celebratory. They are practical and measured, shaped by what happened when we put two respondent types through the same workflows. The results offer a clear direction for researchers who want to use synthetic respondents responsibly and effectively.

What Synthetic Data Did Well

Across both studies, synthetic respondents performed strongly when the task relied on structure, logic, and clear informational cues. They handled formatted questions accurately. They moved through complex branching without friction. They delivered consistent reasoning, tidy patterns, and clean distributions. For general trends or macro-level norms, synthetic outputs often aligned with the human panel. For example, all groups recognized comfort and scent as primary drivers of bathroom product choices, and nearly all showed similar attitudes toward basic hygiene habits and price sensitivity.

In the breakfast study, synthetics performed equally well when the question centered on observable behavior. When asked to estimate the percentage of people who skip breakfast, they offered clean, narrow ranges grounded in public data. When asked about the types of foods people tend to eat in the morning, their answers mirrored common consumer patterns. In these cases, the synthetic panel provided quick, directional insights that were easy to analyze.

The engineering work invested in building L&E’s synthetic panel also made a meaningful difference. The persona engine introduced individuality and response variability. The use of model combinations created a balance between speed and quality. Deterministic logic ensured that the branching path followed expected rules. These choices produced synthetic respondents that were more mature, more consistent, and more capable than in our earlier testing. They were still pattern-driven, but they were better at producing human-like variation within those boundaries.

All of this reinforces that synthetic respondents are valuable for certain uses. They can support early exploration, provide fast pulses before engaging real participants, and act as an efficient test bed for survey logic. They can also reveal formatting issues, help identify biases in question structure, and produce clean bulk data when speed is the highest priority. In these areas, the strengths of synthetic panels can save time, reduce cost, and support stronger research design.

Where Synthetic Data Fell Short

Although the synthetic panel handled structure well, it struggled consistently with emotion, contradiction, and personal context. When asked to share memories or describe feelings, synthetics provided warm vocabulary without lived grounding. Their emotional tone had polish, but not depth. In the smell memory task, synthetics created vivid scenes instead of authentic recollections. They described cinnamon and orange peels simmering on a stove, but never linked those images to real people, experiences, or moments.

This pattern repeated across open-ended responses. Humans spoke about parents, childhood routines, comfort, stress, and identity. They recalled mornings that had gone wrong, the rituals that held meaning, and the ways breakfast shaped their day. Synthetic respondents spoke in structured generalities. They offered interpretations that were plausible, but not personal. They followed linear reasoning, rarely contradicted themselves, and rarely displayed the spontaneity or unpredictability that characterizes real human behavior.

Visual outputs revealed similar limitations. In the bathroom study, synthetic images looked pristine and over-engineered, with little sense of real-world imperfection. In the breakfast study, freezer images generated by synthetics fell apart even as more effort was applied to improve variability. Increased engineering did not consistently yield more realistic results. In fact, the harder the system was pushed to create natural randomness, the more artificial the images became.

The most striking limitation surfaced when the AI was asked to classify the two datasets. It reviewed the human panel and synthetic panel and confidently asserted that panel A was human and panel B was synthetic. It was wrong. When asked why it misinterpreted the data, the model explained that it made its determination based on pattern recognition. It acknowledged that one dataset looked more structured and normalized, so it assumed that one was synthetic. The realization was important. Confidence did not mean accuracy, and pattern-driven thinking did not equate to human understanding.

This moment made something clear. Even when synthetic respondents look convincingly human, especially at first pass, the source of their output is fundamentally different. They respond to patterns. They do not respond to experience. Synthetic data is a powerful tool, but it does not replace the grounding that comes from real human insight.

Why Methodology Matters in AI Qualitative Research

The design decisions in the breakfast study highlighted the importance of building research that is intuitive for people. By leaning into image uploads, video responses, and object detection, the study created moments that felt natural and familiar. Participants engaged with the questions the way they would engage in everyday routines. This allowed us to observe how synthetics navigated the same experiences.

Regions of difference appeared clearly. Humans offered wide ranges of interpretation because lived experience varies. Synthetic respondents stayed within narrow, predictable bands. When object detection revealed inconsistent behavior, humans explained it through life context. Synthetics explained it through clean logic. When mornings went wrong, humans shared stress, panic, humor, and self-reflection. Synthetics shared sequences. The structure of the study amplified the contrast between the two respondent groups, and it made the findings easier to interpret.

The quality of the methodology also demonstrated how a platform like CondUX can elevate insight. Designed for people first, the study flow became smoother and more intuitive. The same design principles can improve synthetic processing by clarifying intent and reducing ambiguity. This dual benefit creates an environment where human-centered design, strong logic, and modern tools support both types of respondents.

A Practical Future for Synthetic Data

The future of synthetic data in AI qualitative research is not a matter of replacement. It is a matter of fit. There are places where synthetic can strengthen the work and places where it cannot. The responsible path is to use it with intention, knowing when it provides value and when it introduces risk.

Synthetic data is useful for the early stages of research. It can help test surveys, explore broad ideas, compare multiple concepts, and simulate missing segments. It is efficient for bulk analysis and can generate large sets of open-ended comments when the goal is volume rather than nuance. It is a valuable tool for reducing cost and saving time, particularly in early exploration or when the task does not rely on emotional depth.

Human participants remain essential for the parts of research that require meaning. Emotion, trust, comfort, cultural context, loyalty, fear, hesitation, and memory are not yet areas synthetic panels can replicate. Humans tell stories. They contradict themselves. They surprise us. They make decisions that do not always follow logic. All of this matters when the goal is to understand why people behave the way they do.

The findings from these two studies reinforce a simple conclusion. The future of insights is hybrid. Synthetic provides speed and structure. Humans provide depth and truth. Together, they can help researchers balance quality with efficiency.

The Takeaway for AI Qualitative Research

Synthetic respondents have come a long way in a short time. They offer significant advantages in speed and consistency, and they can support researchers in promising ways. At the same time, they cannot yet replicate the complexity, unpredictability, or emotional richness of human behavior. When the study is simple, those gaps are visible. When the study becomes complex, they grow.

What our research showed is not a verdict about technology. It is a reminder that tools and people serve different roles. Synthetic is a supportive partner, not a substitute. Used wisely, it can strengthen the research process. But the heart of qualitative work still comes from people. Their contradictions, context, and lived experiences shape insight in ways no model can fully imitate.

If synthetic struggles with simple tasks, it will not be ready for the complex ones. That is not a criticism: it is a direction for where we go next. The work ahead will continue to blend strong methodology, thoughtful design, and human understanding with the power of modern AI. That is how we will keep learning, keep evaluating, and keep improving the tools that will shape the next era of insights.

From Race to the Bottom to Rise of AI

Chris on October 10, 2025

Each year, the Future Trends webinar gives us an opportunity to pause, reflect, and take stock of where the future of market research is headed. This year’s discussion was especially striking. Artificial intelligence (AI) is no longer a distant prospect on the horizon; it is here, shaping how we work, think, and deliver value.

As with every wave of innovation, AI forces us to reckon with what we’ve learned from the past. The insights industry has already lived through its own growing pains. For years, the “race to the bottom” drove down costs but left behind an enduring problem with data quality. That legacy continues to shape how we approach the work ahead.

The challenge before us now is simple in statement but complex in execution: how do we ensure that new tools like AI serve as a force for higher-quality insights, not just faster and cheaper outputs?

The Legacy of the Race to the Bottom

The story of the last decade in research is, in many ways, the story of a marketplace caught in a cycle of underbidding.

To win projects, companies slashed costs, often at the expense of participant incentives. That decision may have been expedient in the short term, but the long-term consequences were significant.

Participants became fatigued, undervalued, and, in some cases, disengaged altogether. Fraud crept in through the cracks. The result was an erosion of trust in the data itself, the very foundation of our work.

At L&E Research, we saw this problem emerging early and took it seriously. We invested in “research-on-research,” asking participants directly about their experiences, not just with us but across the industry. How did incentive levels affect their willingness to participate? How quickly did they expect to be paid? How did they feel about moderation and engagement styles?

These weren’t academic questions; they were existential.

When participants don’t feel valued, the quality of insights deteriorates. That’s why we aligned ourselves with industry-wide initiatives through the Insights Association and built fraud mitigation into our processes well before it became the industry’s headline concern.

The race to the bottom is part of the research industry’s legacy, but it is not our future. Having acknowledged how we got here, we now have the opportunity to move forward with stronger footing.

Data Quality in the Age of AI

Today, the conversation about speed and cost has been reignited by AI. Procurement departments push for faster, cheaper research. Sales teams feel pressure to deliver. And once again, quality risks being left behind.

However, the tools themselves are not the problem; it’s how we use them. AI can accelerate processes, but it can also strengthen outcomes if we put quality at the center of our applications. The choice is ours.

At L&E, we’ve seen firsthand how AI can be deployed to improve accuracy while also saving time. A recent case study with our CondUX platform is a powerful example. A client asked us to analyze nearly 200 photos submitted by participants. Traditionally, this would have taken a team of humans more than 18 hours to review and categorize. Using CondUX’s object detection capabilities, we reduced the process to just two and a half hours, including setup and quality control.

The time savings alone were impressive, but even more importantly, the AI surfaced errors that the human reviewers had missed. By flagging low-confidence images for human verification, CondUX didn’t replace human oversight; it enhanced it.

This shift is significant. Qualitative research has long relied on asking participants to describe their behaviors and environments. Object detection allows us to observe instead. Rather than asking what’s on a kitchen counter, we can see it directly. Observation has always been at the heart of qualitative work, and AI now gives us new tools to scale it without losing authenticity.

The lesson here is clear: AI doesn’t have to perpetuate the mistakes of the past. If used wisely, it can reverse them. Instead of cutting corners on quality, AI can elevate it.

The Human Factor: Training, Oversight, and Storytelling

Yet even as we embrace new tools, one truth remains unchanged: humans are central to research. AI may be, as one panelist described it, “the best intern you’ll ever have.” But even the best intern still needs a manager.

AI can synthesize information, but it cannot think critically. It does not problem-solve. Left unchecked, it can amplify errors rather than resolve them. The risk of over-trusting AI is the risk of making high-stakes business decisions on faulty insights, a mistake no brand can afford.

That is why human-in-the-loop oversight is non-negotiable. Researchers must continue to bring context, domain expertise, and discernment to every AI-assisted output. AI may help answer “what,” but humans must still interpret “why.”

This balance between technology and humanity is not just relevant for today’s practitioners; it also defines the training of tomorrow’s researchers. Academic institutions play a critical role here. Just as earlier generations learned math without calculators, students today must learn the fundamentals of research without over-relying on AI.

If researchers don’t understand the basics, AI becomes nothing more than a “yes-person,” agreeing, generating, and emulating without questioning. Only those who have mastered curiosity, empathy, and storytelling will know when the machine is wrong, and more importantly, how to use it responsibly.

The future of market research belongs to those who can balance both: the efficiency of AI and the empathy of human interpretation.

Looking Ahead with Optimistic Caution

The insights industry is entering a period of remarkable transformation. Investment in AI and other technologies is accelerating, and the potential to make research faster, more scalable, and more accessible is undeniable.

Optimism must be paired with caution. If we lean too far into speed and cost, we risk repeating the mistakes of the past and recreating the very data quality challenges we’ve worked so hard to overcome.

The way forward is not about rejecting efficiency. It is about balance. AI should help us achieve all three points of the triangle: speed, cost, and quality, without sacrificing one for another. That balance is not easy, but it is possible. And it is necessary if we want our work to remain meaningful, relevant, and impactful.

What gives me confidence is the spirit of this industry. Time and again, researchers have shown the ability to adapt, innovate, and lead. We are not passive recipients of technology; we are active shapers of how it is applied. If we keep people – participants, clients, and researchers – at the center of our work, then tools like AI will not just make us faster or cheaper. They will make us better.

Shaping the Future of Market Research

The future of market research is not defined by technology alone. It is defined by how we choose to use it. The race to the bottom taught us that neglecting participant experience and data quality comes at a high cost. AI gives us the chance to learn from that history and write a different story, one where speed and cost efficiencies are balanced with quality, and where human expertise guides every technological advancement.

At L&E Research, we believe the path forward is not about replacing people but empowering them. With the right balance of tools and talent, the future of market research can deliver insights that are not only faster and more efficient, but also deeper, richer, and more reliable. That is the future we should all be working toward.

L&E Research and Qrious Insight Partner to Advance Behavioral Data Integration for Smarter Research

DWG Admin on October 1, 2025

Raleigh, NC: September 22, 2025 – L&E Research, a trusted partner in qualitative research recruitment and insights since 1984, launched a strategic partnership with Qrious Insight, experts in behavioral data and insights.

The collaboration integrates Qrious Insight’s passive metering technology into L&E’s panel apps and websites. This integration combines traditional qualitative and quantitative research with real-time behavioral data. Researchers and brands can now enrich surveys and qualitative insights by tracking app usage, website visits, ad exposure, search activity, and more.
For L&E, this partnership enables dynamic profiling of panelists based on actual behaviors, improving targeting and recruitment while unlocking new research capabilities and product offerings. It also creates a better consumer research experience through less intrusive engagements that offer passive income opportunities for consumers and patients, addressing data quality issues pervasive in the insights industry

L&E Research Perspective

“We are excited to partner with Qrious Insight to offer research solutions that will disrupt the insights industry. Research began as an anthropological study of human behavior: we will now be able to offer brands and researchers alike the opportunity to both observe and ask consumers and patients about their brand experiences.
“Meanwhile, the number one complaint from consumers in qualitative research is the exhaustive questioning of their demographics and behaviors that rarely leads to opportunities to engage brands. This partnership will virtually eliminate this challenge. Brands are responding by focusing their data collection. Panel companies must do the same by investing in better solutions. This partnership is a win/win for everyone: Qrious, L&E, brands and consumers alike.”

Qrious Perspective

“Market research has long relied on what people say, but behaviors provide a complementary, fuller view that helps close the say/do gap,” said Andrew Moffatt, CEO of Qrious Insight. “By building an always-on behavioral data network, we are creating a foundation for smarter research, strengthened analytics, and AI applications across the industry.”

About L&E Research

Founded in 1984, L&E Research is the leading expert in qualitative research and insights, trusted by top brands and agencies to create meaningful conversations between people and the brands they love. With a reputation for excellence via our 95% “highly recommended” ratings by clients post project, L&E continues to set the standard for brand research in the U.S.

About Qrious Insight

Qrious Insight is a leader in behavioral data, providing advanced technology that captures and translates digital behaviors into actionable insights. By partnering with organizations that have established, first-party audiences, Qrious builds a network of behavioral data that empowers companies to better understand and serve their customers.

Security and Quality Aren’t Perks. They’re Prerequisites.

DWG Admin on September 15, 2025

When it comes to choosing a research partner, trust isn’t a luxury.

It’s the baseline.

That’s why two questions should always be front and center:

How do you protect my data?
How do you make sure nothing gets missed?

At L&E Research, we believe that security and quality are non-negotiable for ISO certified market research.

That’s why we’ve invested in dual ISO certifications: one for information security and one for research quality.

Very few partners hold both. Fewer still bake them into every project the way we do.

What It Means To Hold Both Certifications

At L&E, we understand that trust in ISO certified market research comes from two places: data security and process quality.

These two ISO certifications work together to cover both.

ISO/IEC 27001:2022 is the international standard for information security management. It ensures that your data is protected through formalized policies, risk assessments, employee controls, and encryption practices.
ISO 20252:2019 is the international standard for managing market, opinion, and social research. It ensures that every research project is executed with consistency, documentation, and methodological rigor across all phases.

Holding both means that we don’t just protect your data or deliver your research well.

We do both, every time.

Fewer Than Five Firms Hold This Dual Certification

The Insights Association, through its audit body CIRQ, has certified L&E Research to both ISO standards.

Fewer than five companies hold both certifications for ISO certified market research.

The dual status is rare and difficult to achieve. It represents a deep investment in systems training, oversight, and continuous improvement.

When you work with a partner that holds this distinction, you choose a level of excellence that goes beyond standard vendor relationship.

Why ISO Certified Market Research Matters To You

When you partner with an ISO certified market research firm that holds both standards, you gain tangible benefits across security, quality, and operational efficiency:

Peace of mind for IT and compliance teams. ISO 27001 certification assures that every layer of your project data, from client records to video files, to survey data, is protected by one of the most respected security standards in the world.
Confidence in research integrity. ISO 20252 certification ensures your qualitative and quantitative research is managed with consistent documentation, governance, and methodological accuracy.
Faster onboarding, fewer surprises. Auditable standards reduce friction in vendor approval processes, especially in healthcare, financial services, and tech where security and governance matter most.
Proof of excellence, not just promises. These certifications are independently verified, maintained through regular surveillance audits, and publicly listed through CIRQ. They reflect an organization that holds itself accountable.

Trust Is Earned

When we say we’re built for your peace of mind, it’s not just a promise.

It’s a process.

One that’s been extremely audited, globally validated, and continually improved to meet the ISO certified market research standards you deserve.

Looking for a partner that holds itself to the highest global standards? Let’s talk.

The New ISO Standard Is Here. We’re Already There.

DWG Admin on August 26, 2025

At L&E Research, staying ahead of the curve isn’t just a business goal: it’s how we build trust. That’s why we are finalizing our certification to ISO 27001:2022, the latest update to the international standard for information security. This new version brings stronger safeguards, clearer structures, and more relevant controls for today’s digital landscape.
We are not waiting for a deadline to act. We are meeting the future of data protection now.

What is ISO 27001?

ISO 27001 is the international benchmark for information security management. It defines how organizations should structure, implement, and maintain safeguards that protect sensitive data. Being certified means our security practices have been reviewed and approved by an independent, accredited body through a formal audit process. For our clients and partners, it is a clear signal that we take information protection seriously and that we have the policies, procedures, and culture in place to prove it.

What’s Different about the 2022 Version?

The 2022 update introduces structural and practical improvements to the standard. While the core principles remain the same, the refinements help organizations better align with modern digital environments. Here’s what changed:

A more streamlined framework. The original 114 controls have been reduced and reorganized into 93, grouped into four categories: organizational, people, physical, and technological. This makes the standard easier to manage and apply.
New areas of focus. Eleven new controls were added, including items like cloud service security, data deletion, and threat intelligence. These additions reflect the realities of today’s digital ecosystems.
Improved clarity and alignment. Language updates throughout the document make the standard easier to understand and integrate with other ISO frameworks, such as those for quality or risk management.

While the changes may appear technical, the intention behind them is simple: to make security stronger, clearer, and more adaptable.

Why it Matters for Our Clients

Our upgrade to ISO 27001:2022 is about more than keeping up with industry standards. It reinforces our promise to protect the data and relationships that power your research. Here’s what it means for you:

Greater assurance that your data is secure. The updated controls reflect current risks and ensure that our practices remain aligned with best available guidance.
Less time spent on vendor assessments. Certifications to the latest version helps meet IT and procurement requirements faster and more efficiently.
Confidence that your partner is continuously improving. Our upgrade shows that we don’t wait for compliance deadlines to take action. We invest in systems that benefit you directly.

Part of a Larger Commitment

L&E Research is also certified to ISO 20252:2019, the international standard for quality in managing research projects. Together, these two certifications represent our focus on protecting both the integrity of your research and the information it contains.
We believe security and quality go hand in hand. Our commitment to ISO 27001:2022 is one more example of how we bring that belief into practice.

Want to learn more about how our certifications support your research goals? Let’s start a conversation.

Smoother Projects. Smarter Decisions. Fewer Surprises.

DWG Admin on August 22, 2025

Getting research right isn’t just about who you recruit or what you ask.

It’s about how every step is managed – before, during, and after fieldwork.

That’s where certification matters. At L&E Research, our quality systems are built on globally recognized best practices, helping you avoid missteps, reduce friction, and deliver cleaner insights from the start.

We’re proud to be ISO 20252 certified, the international quality standard for managing research projects.

That certification exists in the background of everything we do, but the outcomes speak clearly for themselves: smoother execution, better alignment, and fewer surprises.

So what does that mean for you as a client or research partner?

Here are five advantages of working with an ISO 20252 certified organization.

Built-In Quality At Every Step With ISO 20252

ISO 20252 outlines strict process requirements for every phase of research project execution.

That means quality is not something we add at the end. It’s embedded from the very beginning.

From proposal development through fieldwork and reporting, each step is guided by documented procedures, checks, and controls. These measures reduce error and improve consistency.

This translates to research outcomes that are not only reliable, but also replicable across projects, methodologies, and markets.

Confidence In Methodological Rigor

ISO 20252 includes annexes that define specific standards for various research methodologies, including qualitative interviews, online surveys, ethnography, data management, and more.

L&E’s certification covers all six annexes. As a result, our entire portfolio of services operates under the same high standards.

When your project involves a specialized audience or a complex methodology, you can trust that the execution will meet globally recognized expectations for rigor.

Clear Project Documentation And Transparency

Documentation is a core requirement of ISO 20252.

Every project is governed by clearly defined protocols and procedures. This is something clients often don’t see until they work with a certified partner.

The structure and clarity this provides helps clients understand exactly how recruitment, moderation, data handling, and reporting are managed.

Whether you’re onboarding a new vendor or expanding research to a new region, working with an ISO 20252 certified partner can eliminate uncertainty and align expectations from the start.

Audit-Ready Operations

ISO 20252 certification requires an external audit by an accredited body (like CIRQ) every three years, with annual surveillance audits in between.

This level of oversight ensures that certified organizations remain compliant, current, and continuously improving.

In regulated industries or when dealing with high-stakes data, the assurance that your partner is audit-ready is not just comforting. It’s critical.

A Commitment To Excellence, Not Just Compliance

Any company can claim quality. Fewer can prove it.

Certification to ISO 20252 is a signal to clients that your research partner has gone through an independent, rigorous evaluation process.

It reflects a commitment not only to doing the work, but to doing it well. That means consistently, transparently, and with your project outcomes in mind.

At L&E Research, ISO 20252 isn’t just a credential. It’s part of our operational DNA.

Looking For A Research Partner You Can Rely On?

Whether you’re sourcing qualitative participants, conducting a national survey, or managing a complex, multi-market study, working with an ISO 20252 certified partner ensures your insights rest on a foundation of reliability and process excellence.

Let’s have a smarter conversation. Contact us to learn how L&E Research can bring quality, consistency, and clarity to your next project.

4 Participant Boosters: A Guide to Better Research Outcomes

DWG Admin on July 23, 2025

At L&E Research, we believe that participant engagement isn’t just a courtesy: it’s a critical driver of research quality. In this guide, we explore four high-impact strategies that foster stronger participation, improve data integrity, and elevate the overall research experience. Grounded in direct participant feedback and decades of industry insight, this resource offers actionable best practices to enhance every step of the research journey.

Download the full guide to learn how thoughtful design and genuine participant care can transform outcomes.

Have questions or want to discuss your next study? Reach out to us anytime at hello@leresearch.com – we’re always here to help.

CIRQ Announces Certification of L&E Research to ISO 20252 Standard

DWG Admin on July 3, 2025

CIRQ, an accredited International Standards Organization (ISO) audit and certification body and subsidiary of the Insights Association, has announced that L&E Research, headquartered in Raleigh, NC, has been officially certified to the ISO 20252:2019 standard for market, opinion, and social research, including insights and data analytics.

The ISO 20252:2019 standard defines internationally recognized requirements for managing research projects with transparency, consistency, and rigor. It establishes clear definitions, controls, and quality assurance measures for every phase of research, across all methodologies and data sources. By implementing the full scope of ISO 20252 requirements, organizations demonstrate a strong commitment to deliverable, reliable, traceable, auditable research outcomes.
L&E Research’s certification includes all six annexes of the ISO 20252:2019 standard, covering qualitative research, quantitative research, digital observation, self-completion methods, data management and processing, and physical observation.

“Achieving ISO 20252 certification reflects our deep commitment to quality, consistency, and operational transparency across every project we manage,” said Tracy Isacco, President at L&E Research. “This certification goes beyond meeting a global standard; it reinforces the confidence our clients place in us by ensuring their insights are built on validated, well-documented processes. When combined with our ISO 27001 certification, it underscores our promise to protect both the quality of research and the security of information at every stage”

L&E Research is one of only a few organizations worldwide to hold certifications in both ISO 20252:2019 and ISO/IEC 27001:2013, the globally recognized standard for information security management. This dual certification positions L&E among an elite group of insights partners who meet the highest thresholds for data security and research quality.

About L&E Research

Since 1984, L&E has successfully recruited consumers, healthcare professionals, and business professionals for virtually every type of market research project. Fueled by a belief that great conversations are facilitated by a combination of human talent and technology, the company has grown to establish and operate facilities in Charlotte, Chicago, Cincinnati, Columbus, Denver, New York, Orlando, Raleigh, and Tampa.

About CIRQ

A subsidiary of the Insights Association, CIRQ (the Certification Institute for Research Quality) was established to provide assessment and certification services to market research firms seeking certification to ISO 20252 and ISO 27001. A non-profit entity, CIRQ is committed to providing timely, thorough, and impartial assessments of its customers’ research process management or information security management systems regarding certification to corresponding standards. CIRQ was established in compliance with all ISO requirements for certification bodies that provide auditing and certification services and is fully accredited by ANSI’s National Accreditation Board. To conform to its mandate of objective and impartial audits to these ISO standards, CIRQ is independently operated and managed under the oversight of an independent Board of Directors and submits to annual assessments by external authorities on ISO certification bodies.

For further information, please contact:
Kelli Hammock
720.370.3423
L&E Research
www.leresearch.com

Smarter Strategies, Better Experiences: What We’ve Learned

DWG Admin on May 8, 2025

Welcome back to the final blog of our Challenging the Status Qual series, where we delve into L&E’s journey to enhance participant experiences in research. In the previous blog, we dug deep into how participation in research can become a meaningful activity rather than just another task. Now let’s look back at the insights from our study, explore how L&E is acting on this feedback, and share practical tips to elevate participant experiences across the industry.

Respect, Rewards, and Results: Engaging Research Participants

Understanding the motivations and barriers of qualitative research participants is key to designing an experience that will not only deliver valuable insights, but also foster engagement and fulfilment.

People enjoy being part of a something larger. It is clear from our study that the opportunity to share opinions is rewarding, especially when participants see how their input is used. This remains true even when the primary incentive is monetary compensation – many take pride in their contribution, find the process interesting, and value making an impact. One participant shared, “I enjoy being part of the process… Hopefully, some of the things that we talk about do provide some value”.

However, a common frustration is having to fill out long, rigorous screeners that ultimately disqualify them. This makes them feel rejected or used for ‘data mining’. Respecting their time by informing them promptly when they don’t quality, ensuring transparency on the process, and sending clear, targeted invitations are key. One participant states that L&E’s approach was preferable because “efficiency is a big thing with you guys, making it user-friendly to go from the email process to getting booked.”

It is no surprise compensation emerged as a top solution to improve experience. Participants are interested in gamified reward points they can accumulate for gift cards, as well as opportunities for shorter, paid surveys with no qualification screener – even when compensation is lower. These are adjustments that would make research participation more attractive and gratifying.

Best Practices for Suppliers and Researchers

Having heard participant feedback, we identified the best practices for researchers and sample recruitment suppliers looking to get better engagement and reduce participant frustration. Sample recruitment suppliers can consider these best practices to ensure participants feel their time is valued and improve their experience:

Leverage dynamic technology and smart technology and smart techniques to target participants, as well as using demographic datapoint tracking to improve acceptance rates and reduce disqualification.
Streamline all opportunities into a central member portal.
Clearly communicate expectations.
Offer rewards for screener attempts, even when they get rejected to ease frustrations around screens – a major point for many.
Referral incentives can also help your member base.

For researchers, keeping in mind these strategies can significantly enhance participant experiences and reduce frustration:

Be mindful when designing screeners: respect participants’ time by keeping it short, and only ask what is necessary.
Notify Participants promptly if they are disqualified and consider collecting profile information through a check-in activity or during the session, rather than at the screener to best prioritise their time.
Participants take pride in their contribution, so sharing research results, when possible, helps keep them invested in being part of the research.
Keeping discussions lively during activities is essential to maintain their interest.
Avoid further taking up your participants’ time by changing details that will affect and confuse things.

From Feedback to Action: Driving Participant Satisfaction at L&E

At L&E, we’re actively addressing this feedback to optimise our member engagement. Our team has been busy improving the user experience on our member portal: making finding and doing screeners more accessible, improving the survey experience, and simplifying the login process. We are also in the process of developing our mobile app, intended to enhance communication, especially with younger people, through notifications rather than email.

Gamification is now embedded in our process, allowing members to earn points and badges, translating to monetary rewards. Beta testing shows a 5% increase in engagement rate in just a short few months, demonstrating the power of a more interactive and fun experience.

We’ve strengthened our communications, ensuring that screener expectations, such as time length, uploads, are clear from the get-go. Enhanced technology will also further support these improvements, enabling us to better target participants based on their profile datapoints to reduce outreach fatigue.

With the insights gained from this series, we’re excited to see our participant engagement continue to grow as we work on enhancing their experiences. Our roles as researchers and sample recruitment suppliers extend beyond conducing quality research; it includes ensuring a positive, fulfilling process for participants. Addressing their key concerns will strengthen relationships and emphasize the invaluable role they play in our work, because, at the end of the day, at the heart of qualitative research are the people who contribute to it.