A business analyst is discussing 5 possible options that may be presented in a business...

The documentation explains that feasibility evaluation commonly considers business, technical, and financial feasibility. It also provides a feasibility framework describing business feasibility as including strategic fit, market/timeliness considerations, and organisational/cultural fit; and technical feasibility as including compatibility, architecture fit, skills, reliability, performance, security, and whether the technology is proven.

In the scenario, the analyst has “checked alignment with VMOST and checked the business capabilities.” That is a direct assessment of business feasibility: whether the option supports the organisation’s vision/mission/objectives/strategy and whether it fits the required business capability model (i.e., whether it supports what the business must be able to do). This is exactly the “strategic fit / business fit” focus described under business feasibility.

The analyst then plans “further research on the limitations of the AI features.” That is a technical feasibility concern: the AI marking function may or may not work adequately, may have constraints, may require specific data quality, or may not integrate well with the enterprise architecture. Investigating limitations is therefore assessing whether the technology can deliver the required performance and capabilities.

No explicit financial feasibility work (budget, ROI) is described, and timescale/project feasibility are not used as the primary feasibility categories in the text. Therefore, the two feasibility aspects considered are Business and Technical.