The market research industry is racing to add AI features—but are they solving the real problem? 

While many suppliers focus on flashy AI capabilities, researchers continue to grapple with bloated tech stacks and fragmented workflows, spending more time managing data than generating insights—all while trying to prove the strategic value of research.

This webinar challenges the feature-first mindset and shifts the conversation to how better integration across methodologies can reduce inefficiencies and improve the research process.

Key Takeaways:

• How integration-first platforms create more value than standalone AI functions, unlocking efficiency gains beyond automation.
• The real cost of disconnected tools—why fragmented workflows consume up to 30% of project timelines in mixed-methodology studies.
• How to evaluate research technology investments based on integration capabilities, helping you reclaim the 16% of your workweek lost to managing disconnected tools.
• Best practices for seamless participant experiences, reducing drop-off rates and improving data consistency across methodologies.
• How to build a centralized insights repository, ensuring past research is accessible and actionable across teams.