AI in the field of data collection

Demian van Gils, Data Specialist at Markteffect, tells you more about how we use AI during data collection.

In an age where speed, reliability, and scalability are becoming increasingly important, it is essential that data collection keeps pace with technological developments. At Markteffect, we combine human expertise with smart AI solutions to guarantee and optimize data quality.

Techniques we already use

Our advanced technologies and tools ensure an efficient and reliable data collection process. Our internal platform continuously optimizes data collection, while smart recruitment measures exclude bots and duplicate respondents. During and after data collection, we guarantee quality with filters for extremely fast completions and machine learning to detect irrelevant answers.

In addition, we use web scraping to quickly collect and structure large amounts of up-to-date data from online sources, such as websites and social media. Through careful monitoring and AI-driven desk research, we generate in-depth insights and identify trends at an early stage. With the Interview Scripting Assistant (ISA), we develop effective interview questions and conversation structures, while Survey Scripting automates the creation and programming of surveys. This combination ensures that speed, scale, and reliability go hand in hand.

Techniques we are currently working hard on

Innovation never stops. That's why we are busy developing and testing new applications such as:

  • Survey Creation – smart survey design with AI
  • Conversational AI – interactive and dynamic questionnaires that respond to the respondent's behavior
  • AI Probing – automatic follow-up questions for more depth in qualitative data
  • Social Competitor & Trend Intelligence – AI analyses of competitors and market signals

With these applications, we want to make research faster, more relevant, and more personalized.

Techniques we are currently exploring

In addition to what we are already implementing and developing, we are also curious about what AI can mean in the near future. For example, we are exploring the possibilities and added value of Synthetic Data & Personas to create realistic, simulated datasets for analysis. We are also exploring the possibilities of Video Capture and Analytics, which can be used to analyze videos to gain valuable insights.

And humans? They remain indispensable.

For us, AI is a powerful tool, not a replacement. The added value lies in the combination of technology and human interpretation, or in other words: human-in-the-loop. Only in this way can we continue to deliver on our promise: insights that are truly relevant, with a focus on relationships and results.

Questions?

Would you like to know what AI can do for your data collection? Feel free to contact us. We are happy to help you!

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See also

Want to know more? Here are some relevant news articles. That way, you won't miss out on anything happening in your industry.

Back to overview

Human in the lead: Market research in the age of AI

Relevance as a strategy: insights from our roundtable on hyper-personalization

Why do consumers really choose your product? The value of a conjoint analysis

The dividing line between qualitative and quantitative research is blurring, partly due to AI probing.

<p>Demian <span>van Gils</span></p>

Demian van Gils

Data Specialist

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