Trustworthy Product Research: Data, Bias, and Insight Quality

What you'll learn
  • How to protect participant data across tools and meet GDPR requirements in practice.
  • Why recruitment bias distorts your findings, and how to catch it before it does.
  • What traceable insight quality actually means and where AI falls short.
Daniel Korczyński
CPO @ Survicate
Simon Jones
Lead Research Consultant @ Prolific
June 16th
45 min + Q&A

Most research guides focus on methods. This one focuses on what can go wrong.

Your data is collected. Your participants have responded. Your findings are ready to share. But can you stand behind them when a stakeholder pushes back?

This webinar covers three hard questions researchers face in practice: whether participant data is handled safely across tools, whether you're actually hearing from the right people, and whether your insights are traceable enough to act on.

We'll tackle each through the lens of research methodology, not product demos. Expect concrete guidance you can apply to your next study.

What you'll learn:

  • What informed consent really requires when participant data moves between platforms, and what GDPR and data minimization mean in practice
  • How convenience sampling distorts user understanding, what screener mistakes let the wrong participants through, and how AI-generated responses are contaminating research pools
  • What makes a finding traceable back to its source, how survey design shapes what you actually collect, and where AI falls short in qualitative analysis

Meet our hosts

Daniel Korczyński is Chief Product Officer at Survicate, where he leads product strategy and has transformed the platform from survey software into a comprehensive feedback and user research platform. He drives Survicate's product vision while staying close to customer needs. He's passionate about solving the "messy middle" of feedback analysis and ensuring every feature ships with real customer problems in mind.

Daniel Korczyński
CPO @ Survicate
Read the case study
Daniel Korczyński
CPO @ Survicate

Simon Jones holds a PhD in Human-Computer Interaction, with a focus on human-centered and behavioral research methods. As Strategic Projects Lead within the Managed Services team at Prolific, he specializes in developing complex, high-quality research programs (from nationally representative samples to synthetic panels), ensuring methodological excellence at every stage.

Simon Jones
Lead Research Consultant @ Prolific
Read the case study
Simon Jones
Lead Research Consultant @ Prolific

Simon Jones holds a PhD in Human-Computer Interaction, with a focus on human-centered and behavioral research methods. As Strategic Projects Lead within the Managed Services team at Prolific, he specializes in developing complex, high-quality research programs (from nationally representative samples to synthetic panels), ensuring methodological excellence at every stage.

Trustworthy Product Research: Data, Bias, and Insight Quality

What you'll learn
  • How to protect participant data across tools and meet GDPR requirements in practice.
  • Why recruitment bias distorts your findings, and how to catch it before it does.
  • What traceable insight quality actually means and where AI falls short.
🗓
June 16th
🕐
4:30 PM BST | 5:30 PM CEST | 11:30 AM EDT

45 min + Q&A

Most research guides focus on methods. This one focuses on what can go wrong.

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