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Siddarth Kengadaran

Siddarth Kengadaran

Experience Strategist, BayOne

Leadership SummitDeep DiveEmerging Tech

Experience Practice 2.0: Building the Right Thing When Building Is Cheap


About

Siddarth Kengadaran is an Experience Strategist at BayOne, part of the company's Experience Transformation practice. His role sits at the front of the design process — problem-framing, research strategy, and building the bridge from executive vision to buildable work — helping enterprise teams decide what's worth building before they build it. Siddarth's core thesis is that AI has made production cheap, shifting the defensible value of design upstream to context and judgment. His work focuses on a lean, strategy-led model that scales through AI-augmented accelerators rather than headcount, pairing synthetic research with human validation and holding every recommendation to a simple bar: could a board defend a decision based on this? Across his career in product strategy and design, he has worked at the intersection of experience, AI, and emerging interfaces, including spatial computing. He is an active contributor to the developer and startup community through GDG Coimbatore and FoF Coimbatore, including convening the product space.


Talk details

Leadership SummitDeep DiveEmerging Tech

Experience Practice 2.0: Building the Right Thing When Building Is Cheap

About this talk

AI has collapsed the cost of production — a working prototype is seconds away. The risk is no longer moving slowly; it's building the wrong thing efficiently. That shift re-platforms the experience practice itself. Experience Practice 2.0 is an operating model, not a toolkit: a lean, strategy-led team that scales through accelerators, encodes craft into AI-augmented systems, and proves correctness with evidence. It's about rebuilding around what AI can't replace: knowing what's right.

Key takeaway

  • Why 'faster' is now a trap, and where the defensible value actually moved.
  • The shape of a Practice 2.0 team — strategy-led, lean, accelerator-scaled — and the roles that change.
  • How to prove correctness with evidence, not velocity metrics.