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    Data Quality

    Make decisions with confidence knowing that our dedicated team of experts ensures the quality of your data every step of the way.

Powering insight quality at every step

We deploy a series of real-time, automated checks powered by machine learning and AI to ensure our respondents are:

  • Real: Real people, not bots
  • Genuine: Not exclusively motivated by incentives
  • Engaged: Paying close attention and putting effort into their answers
  • Representative: Minimizing underlying skews

We never settle on the status quo, and our internal research-on-research program continuously challenges, improves, and validates our methodologies across:

  • Research Design: Targeting, Quotas, Sample Sizes
  • Fieldwork Materials: Questionnaire Design, Scripting, Translation
  • Fieldwork: Sampling, Fieldwork Timing
  • Analysis: Post-Field Quality Checks, Weighting

Our tools feature a series of nudges and flags to guide you through your project and prompt you with our best-practice recommendations, so you can rest assured you’re doing everything right—even if you’re not a researcher by trade. We’re always happy to share our knowledge through our:

  • Best Practice ‘Cheat Sheets’
  • Masterclasses
  • Tailored Trainings

Data quality, the Toluna way.

At Toluna, we believe in ‘Success in Unity’ and data quality is no exception. To bring you the best data, we collaborate with companies inside and outside the research industry to challenge our way of thinking, learn, and stay a step ahead of tomorrow’s data quality challenges. Here are just a few examples of how we do this:

  • We leverage technology used by world leaders in Finance, Tech, and Entertainment to detect fraudulent IP activity and stop it in its tracks.

  • We regularly contribute to initiatives with industry bodies such as ESOMAR, the MRS, and CASE4Quality to drive best practices in research.

Data quality, the Toluna way.
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