Comparing mandatory and discretionary dependencies

Dependencies vary in how strictly they shape the order of work. Mandatory dependencies represent conditions that must be met before another task can begin. For instance, a data pipeline must be established before analytics dashboards can display accurate information, or a user authentication system must be in place before sensitive account features are released. These are non-negotiable steps tied to logical or technical constraints.

Discretionary dependencies, on the other hand, are influenced by choice and best practice. A team might decide to refine onboarding flows before enhancing reporting, even though the reporting feature could technically be developed first. Similarly, designers may choose to polish a new settings page before adding shortcuts, not because it is required, but because it aligns with their workflow. Distinguishing between mandatory and discretionary dependencies gives teams flexibility. It ensures they do not overestimate risks for tasks that can be safely rearranged and keeps attention focused on the truly critical blockers.^[1]