Without high quality data, we've got nothing.

It’s why we’re obsessed with
getting it right.

What do we mean when we say quality?

High-quality insights only come from high-quality data. We like to think of “quality” in three distinct ways, each requiring its own set of solutions, that together make up a “quality framework.”

1: Identity

Are participants really who they say they are?

Before we're letting anyone into our panel or your survey, we're verifying their identity by cross-referencing their credentials and self-reported data against a combination of private and public third-party resources. This not only helps us verify medical providers, but also protects against any level of bots and artificial intelligence.
  • Panelists locked to NPI records (prevents duplicates)
  • Two-factor authentication for identity-linked data
  • Real-time credential verification
Connecting Participant to NPI Record

2: Targeting

Are the right people getting into your survey?

To truly understand who we're inviting to your survey, self-reported data just isn’t enough. We leverage real-world data to understand participants' medical specializations and key professional attributes. We target using the following real-world data:
  • NPI taxonomy/specialty (always)
  • Real-world scripting data (as needed)
  • Practice and hospital affiliation (as needed)

3: Truth

Are survey responses accurate, thoughtful, and real?

We go beyond the industry-standard attention checks, and monitor for several in-survey behavioral patterns that indicate inattentive, malicious or non-human behavior. Where possible, we check self-reported data against an independent, credible source. If anything looks suspicious, we'll be the first ones to know.
  • Standard attention checks: straight-lining, red herrings, etc. (programming required)
  • Advanced behavioral analysis: mouse movements, rounding, etc. (programming required)
  • Checking survey responses against third-party data sources
ISO Certification 27001 ISO Certification 20252

You don't have to take our word for it.

Our ISO certifications mean we're continually being audited so you can be sure we're doing things the right way.

Read Our Article on Quirks.com

How we deliver the highest quality data.

Trusted Panel Network

Most projects today are tough recruits that require multi-sourcing sample, which is why we've created a panel-verse (more on this later) of trusted sample partners. We've done all of the heavy lifting in terms of profiling and vetting partners, streamlining the recruiting process, and negotiating competitive rates — and we're willing to be fully transparent about where your sample is coming from.

In-Survey Behavioral Checks (Programming Required)

Red herring questions and straight-lining checks are all industry-standard quality protocols, but they do not address some of the more sophisticated challenges involving fraud, artificial intelligence, and inattentiveness. This is why we've invested in proprietary solutions that analyze behavioral data (i.e. mouse movement patterns, rounding patterns, text analysis, etc.) to identify suspicious activity.

Advanced Security

Security in surveys has become a concern given the availability and low cost of sophisticated tools that bad actors can use to commit fraud. We've deployed a number of security checks in each survey to ensure that the participants are the people who should be taking the survey. This involves verifying their identity in real-time and checking for inconsistencies with third-party data sources.

Respondent Documentation

We believe that our clients are entitled to be confident in the data that will drive their insights, which is why we're always willing to work transparently and bring receipts for every survey participant recruited from our panel. Whether it is to conduct a more in-depth analysis, connect primary data to secondary, or simply be assured of the quality of the sample, we believe in showing our work.

Expert Project Management

While technology and third-party data play a large part in identifying suspicious survey responses, we rely on the experience of project managers to make a final determination on whether the data is acceptable or not. Given that we're always recruiting from limited universes of hard-to-reach medical professionals, we do not make the decision to toss data lightly.
"Honestly, it's a real pet peeve of mine. It just bothers me to see quality not done right. It makes everything else so much easier."
Paul Golota
CEO, MedSurvey

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