But very few can confidently prove impact. Here's why.
Missing intention
AI is everywhere in the workflow, but the link to time saved, lower cost or better quality stays fuzzy.
Tool-first thinking
Teams chase impressive features before defining the outcome that actually matters to the business.
Trust and quality risk
Hallucinations and shallow output erode confidence faster than speed gains can build it.
Skills lagging tools
New tools arrive faster than the habits and judgment needed to get lasting value from them.
Learn 5 practical ways to apply agentic Ai into your market research practice.
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Learn how synthetic data helps complement primary research approaches like insight communities.
Read the Q&A
Based on Esomar's guidelines, this book answers frequently asked questions about Rival's approach to AI.
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