Implementatietiming

Implementatietiming refers to the scheduling and sequencing of activities required to implement a new system, process, or policy. It covers when tasks occur, how long they take, the order in which they are performed, and how dependencies between activities and resources are managed. The aim is to achieve on-time delivery while aligning with business readiness and available resources.

In practice, implementatietiming involves creating a work breakdown structure, identifying task dependencies,Estimating durations, allocating resources, and assessing risks. Planning tools commonly used include Gantt charts, dependency networks, and critical path analysis, often within broader project management frameworks such as PMBOK or PRINCE2, or within agile release planning where appropriate.

Rollout strategies strongly influence timing. A phased rollout or pilot can reduce risk and provide learning opportunities before a full deployment, whereas a big bang approach implements all components at once. Key activities to schedule include data migration, system integration, testing, training, and change management. External constraints, such as regulatory deadlines, vendor delivery schedules, or client commitments, must be accounted for in the timeline.

Several factors shape implementation timing, including project scope, complexity, interdependencies, resource availability, testing requirements, data readiness, and organizational readiness. Common causes of delay are scope creep, late dependency completion, or insufficient buffering for uncertainties. Best practices emphasize early stakeholder involvement, realistic buffers, clear go/no-go criteria, and ongoing monitoring of progress and risks.

Governance around timing includes defining milestones, go-live criteria, and post-implementation reviews to assess whether the implementation delivers the intended value and to inform future projects.