PRODUCT MANAGEMENT SYSTEMS COMPLEXITY AI

Product decisions in complex systems

I explore how product teams understand customers, make decisions under uncertainty, and build organizations that learn, particularly as AI changes what is possible.

01

Customer Understanding

How do we distinguish customer requests from underlying needs? What information gets lost as customer knowledge moves through an organization?

02

Systems & Complexity

How do information flows, incentives, feedback loops and decision rights shape what gets built?

03

AI & Product

How do predictive and agentic AI change product discovery, organizational learning and human decision-making?

Questions I've exploring.

My work explores difficult product choices where customer needs, technical possibilities, commercial priorities, and organizational constraints compete. I develop practical ways to clarify opportunities, examine trade-offs, and determine where investment can create meaningful value.

Lina Tcharnyi

My work explores difficult product choices where customer needs, technical possibilities, commercial priorities, and organizational constraints compete. I develop practical ways to clarify opportunities, examine trade-offs, and determine where investment can create meaningful value.

Lina Tcharnyi

Complex problems rarely belong to one team, technology, or process. I use systems thinking to examine how customers, technology, data, people, incentives, workflows, and business models interact—helping uncover dependencies, unintended consequences, and opportunities that are easy to miss when each piece is considered separately.

Lina Tcharnyi

I develop practical frameworks for navigating product decisions where customer needs, technical possibilities, commercial priorities, and organizational realities collide—making trade-offs visible and helping identify where investment can create the greatest value.

Lina Tcharnyi

Recent thinking