Data Science

November 14, 2025

What if We Rewarded Good Survey Participants Instead of Punishing the Bad?

Instead of punishing bad actors, reward the good. Explore how a “FICO score for research” could revolutionize survey quality.

What if We Rewarded Good Survey Participants Instead of Punishing the Bad?

In the arms race against fraud in online research, it often feels like we’ve created a system that punishes everyone, especially the honest participants we rely on. We pile on checks, traps, and endless routing hurdles in an effort to weed out bad actors. But in doing so, we’ve also driven away good ones.

I invite you to take a hypothetical journey with me: instead of just blacklisting suspicious or known fraudulent respondents, why not explore the idea of whitelisting? The concept is simple: build a framework that enables verified participants to earn trust and carry that credibility with them from survey to survey.

Think of it like a FICO score for research; a way for participants to build a record of positive behavior and be rewarded with smoother, more valuable opportunities. Just as a strong credit score can unlock better borrowing options, a strong participant score could unlock a better survey experience - one that acknowledges their reliability and contributions.

Whitelisting wouldn’t just be about passive recognition. It could be tied to a dynamic, fast-pass-style certification, one that travels with the respondent and is refreshed based on recent behavior. Verified participants might bypass repetitive screening questions or gain access to higher-value or better-designed surveys. In turn, researchers would benefit from reduced drop-off rates, faster field times, and cleaner data.

The Problem with Today’s Survey Journey

Of course, none of this is easy. The fragmented nature of survey ecosystems, filled with routers, aggregators, and overlapping supply chains, means that even great participants get caught in a loop of redundant checks and unclear incentives. It's not uncommon for a qualified respondent to face the same attention check four times, only to be bounced from the study for reasons they’ll never know. It’s inefficient, it punishes people and they give up, costing researchers critical, quality data.

What’s worse is that we often don’t realize how broken the experience is until we try it ourselves. One industry veteran recently described spending over 20 minutes stuck in routing limbo, never actually making it to a survey. Multiply that frustration across thousands of would-be participants, and it’s clear the experience gap is costing us more than just a few completes.

Listening to Professionals and B2B Respondents

This problem is even more pronounced in B2B research, where professionals often say they want the experience to respect their time, feel relevant, and deliver something of value in return. Yet many of them face the same maze of repetitive checks and disjointed routing. For busy executives, small business owners, or industry specialists, the survey experience gap can be so annoying that they just walk away. 

In B2B market research, professionals want research that is efficient, mobile-first, and meaningful. They are more likely to engage when surveys are concise, clearly tied to their expertise, and designed with respect for their schedules. By improving the quality of the experience (and creating systems like whitelisting that acknowledge and reward their reliability) we have a better chance of keeping these critical voices in the mix.

This is where a new framework becomes more than just an operational tweak, instead signaling to participants that their contributions matter, and in doing so, building a foundation for better data across the board.

A Vision for a Better System

Whitelisting offers a different vision, one rooted in transparency and positivity. It acknowledges that trust can be built, that quality is not static, and that the people taking our surveys deserve better than the digital gauntlet we’ve designed for them.

No, it won’t solve every problem. It will take coordination, shared identifiers, and industry buy-in. But it’s the kind of what-if worth pursuing. Because when we start designing systems that prioritize good actors instead of obsessively targeting the bad, we open the door to better experiences, better data, and ultimately, better decisions.

A “FICO score for research” can create a signal of trust that benefits both sides. If we can get that balance right, everyone, including participants, researchers, and the industry as a whole, is a winner.

survey qualityb2brespondentsonline researchonline surveysdata quality

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Katie Casavant

Katie Casavant

Head of Commercial at Data Quality Co-op

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The views, opinions, data, and methodologies expressed above are those of the contributor(s) and do not necessarily reflect or represent the official policies, positions, or beliefs of Greenbook.

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