Secure a sample that’s hard to fraud.

Data Quality Controls

Protect the integrity of your insights with multi-layered data quality checks by industry leaders, in-house experts, and AI.

High-stakes missions need high-quality data — no do-overs.

Key benefits

Protect the integrity of your data pool.

HOLISTIC APPROACH

Data without a doubt.

 

At Potloc, we leave no stone unturned when it comes to the quality of your data. Our three-pronged approach chooses the right survey sources, optimizes the respondent experience, and employs 14 quality checks to surface only the cleanest insights.

 

See our research on research on what makes or breaks quality: strong survey sources, good respondent experience, and strict, transparent quality controls.

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High-quality data should be table stakes. Get qualified respondents the first time around with Potloc, and keep the focus where it’s needed most — from analyzing your data to prepping for presentations. 
14
human and AI quality checks — before, during, and post-survey

EFFICIENT DELIVERY

More time for strategy.

High-quality data should be table stakes. Get qualified respondents the first time around with Potloc, and keep the focus where it’s needed most — from analyzing your data to prepping for presentations. 

TRANSPARENCY

No more black-box suppliers.

Get the visibility you deserve. Potloc’s data cleaning dashboard gives you in-depth reporting on the integrity of your sample — see why and how each respondent was qualified (or not). 

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ACCREDITATIONS

Safeguard your data.

Trust is built on transparency and accountability, and we uphold these principles in every aspect of our operations. We’re continuously enhancing our security practices and maintaining compliance with frameworks such as SOC 2, and our CRIC accreditation represents our commitment to the highest standards, ethics and best practices in research, analytics and insights.

 

CEO Declaration of Compliance with CRIC Standards

CEO Declaration of Compliance with ISO

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INTEGRATIONS

The industry’s best fortresses against fraud.

We integrate with two leading tools to intercept bots, fraudsters, and duplicate respondents pre-survey — before they can compromise your sample. 
Our Sentry integration vets participants before they land on the survey.

From weeding out duplicates to catching inattentive respondents, and even addressing acquiescence bias, we ensure high-quality participants from the start.
Our integration with Research Defender allows us to control traffic and enhance the quality of our samples — creating a clean, efficient ecosystem for our clients. 

By leveraging Research Defender, we detect and exclude duplicate respondents, high-threat individuals, and inappropriate survey sources, maintaining our commitment to delivering the highest-quality samples.
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AUTOMATIONS & AI

Real-time cleaning for ready-to-explore data.

Next, our proprietary automations and AI clean your sample as it comes in so you can start digging into your initial results quickly and without hesitation.

These custom-built algorithms ensure the right people complete your survey and flag respondents who exhibit unacceptable attention and engagement levels by flagging speeders, gibberish, and incoherent or copy-pasted open-ended answers.

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HUMAN CHECKPOINTS

Data quality experts that catch all.

Finally, our data cleaning team’s discerning eyes review all remaining responses to leave no margin of error.

Our in-house experts detect more subtle patterns of subpar data that can sneak past algorithms, closely reviewing the all-important open ends for quality, relevance, and completeness.

The result? Only the best data factors into your conclusions.
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The key criteria that made Potloc our first choice were: high quality of data collection, access to our target audience, and real-time updates and transparency on data collected.
Christopher Brown BW-1
Christopher Brown Partner at KPMG Ireland
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In-house experts

White-glove research support.

Navigate our intuitive platform with ease and get matched with a Potloc Market Researcher for bespoke guidance. We fuse the latest technology with expert, hands-on know-how, making surveys the smoothest part of your project.
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Frequently asked questions

Get the facts straight from our experts.

Potloc’s market research experts and AI-powered platform work to ensure your sample is representative and defensible.

We protect data quality across the full survey process: Expert-led survey optimization, multi-source sampling approach, and 14+ layers of human, third-party, and AI checks that minimize sampling bias and eliminate fraud, AI bots, and weak data from disengaged or inattentive respondents. Lastly, to improve confidence in your data, you also get transparent reporting on how your results were sourced and cleaned. This unique level of visibility challenges the industry’s typical “black box” approach and makes your insights easier to trust.

  • Potloc reduces formulation bias through questionnaire design optimizations: neutral wording, balanced answer scales, and randomization of questions or answer choices to reduce adverse order effects such as primacy bias.
  • Potloc reduces selection bias through multi-source sampling, strict quotas, statistical weighting where needed, and cross-validation across sources. This helps results reflect the target market rather than the limitations of one recruitment channel.
  • Potloc reduces response bias by filtering out low-quality or fraudulent responses using 14+ layers of quality checks, including: consistency and attention checks, straight-liner detection, speeders detection, AI/bot checks, “trap question” coherence checks, deduplication, IP verification, and unique ID checks.

Poltoc deploys multi-layered data cleaning checks, powered by dynamic AI automations, industry-leading integrations, and human reviews.

Just a few examples of our quality controls include:

  • Pre-survey checks: Before and at the start of fieldwork, Potloc identifies inattentiveness, acquiescence behaviors, duplicated responses, professional survey takers, and fraudulent respondents. Advanced screeners also help confirm respondents are who they say they are.

  • In-survey checks: Potloc embeds attention checks, coherence checks, copy/paste detection, and words-per-minute computation for open-ended answers. These checks help detect low-effort or unreliable responses while fieldwork is still running.

  • Post-survey checks: Potloc performs post-survey data cleaning, including speeder detection, human reviews of open-ended answers, and processing of all quality measures implemented during the survey.

But quality at Potloc isn’t just about data cleaning. It starts with leveraging the right respondent channels to minimize selection bias, continues with expert-led survey optimization and real-time data quality validation, and ends with instilling client confidence through transparency about exactly how the data was sourced and cleaned. 

Consulting and private equity teams need data they can defend in client boardrooms and investment committees. Potloc’s holistic data quality approach delivers:

  • Greater reach and faster fieldwork thanks to Potloc’s multi-source sampling experts, who help expand access to hard-to-reach audiences without relaxing eligibility criteria or quality controls.

  • Better data through Potloc’s high-quality sampling channels, expert-led survey optimization, and 14+ layers of data quality checks powered by AI, third-party integrations, and human reviewers.

  • Unmatched transparency around where respondents were sourced from and what data quality checks were employed, helping instill confidence in the data.

Understanding the competing priorities of your practice, Potloc’s AI-powered platform and end-to-end survey managers ensure speed — but never at the cost of quality.