After completing the MBA programme, I had opportunity to spend additional semester focusing on advanced management disciplines and preparing my master’s thesis. This stage was primarily dedicated to research, with many ideas grounded in academic papers.
The central question of my thesis was: what if process of creating product innovation is viewed as a state machine — structured set of states and transition rules between them? From this, I formulated hypothesis: for an innovation to be successfully integrated into product, each stage of its lifecycle requires sequence of well-informed decisions, supported by right data.
In the research, I examined methods that help generate actionable insights at different stages of business process: Human-Centric Design to map ideas, Kano model to prioritise them, Axiomatic Design to establish precise business requirements, and TRIZ to resolve contradictions. If we imagine each of these methods as API that describes how to retrieve and act upon data, the resulting state machine can be represented as MCP for product management. But that’s topic for another study.
During lecture in Knowledge Management module, one phrase resonated with me: “Energy matters more than intelligence.” A thought-provoking hypothesis indeed. Happy Knowledge Day to everyone exploring this hypothesis.
