Unlock Fast & Deep Analysis in Condens with Smart Survey Design & Generative AI
Most researchers know the pain of staring at thousands of survey responses with no clear way forward. In this Coffee Chat, we're flipping the script: starting with the end goal and working backwards to build a setup that actually scales. You'll see how the right decisions at every stage, from survey design and data prep to import structure, unlock the power of Condens for large-scale survey analysis. If you've ever felt overwhelmed by raw survey data, this session will change how you approach it.
Our Speakers
Kenan Jallad (he/him) is an Experience Architect of 12 years who builds research systems and measurement frameworks that shape how organizations form strategies and design experiences. He specializes in combining intentionally designed data structures, mixed methods study plans, and AI-augmented analysis protocols that both deepen and accelerate insights generation.
His research has shaped experience design strategies across energy, transportation, government, healthcare, and financial services for organizations including TransLink, BC Hydro, and MedChart. His latest work and current focus is in the development of learning management systems that combine organizational knowledge and skilled outputs with generative AI workflows and agentic capabilities.
