20 Questions About Rival's AI Capabilities

A practical guide for research buyers based on Esomar's guidelines on responsible, AI-accelerated research

As AI becomes more embedded in market research, organizations are rightly asking deeper questions about how these technologies are designed, governed and used responsibly. Transparency, human oversight and data governance now matter as much as speed or scale.

In this guide, Rival Technologies shares responses to Esomar’s 20 questions to help buyers of AI-based services — a resource that offers a practical framework for evaluating AI in research. It covers everything from supplier credentials and explainability to ethics, security and data governance.

Questions answers include: 

  • What features and benefits does AI bring, and what problems does it address?

  • Can you explain the role of AI in your service offer in simple, non-technical terms

  • What is the AI model used? Are Rival's AI solutions primarily developed internally? 

  • What are the processes to verify and validate the output for accuracy, and are they documented?

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