In go-live readiness planning, which element is commonly included?

In go-live readiness planning, which element is commonly included?

• A. vendor selection
• B. completing user training
• C. crisis coaching
• D. data archiving

Answer: (B)

Focusing on preparing people to use the new system is essential for a smooth transition. Completing user training is central to go-live readiness because it directly enables staff to perform their tasks correctly with the new workflow, reduces user frustration, and cuts down post-go-live support needs. When training is ready—with role-specific content, hands-on practice, and a plan for refresher sessions—users can navigate the system confidently from day one, which supports safer, more efficient operations and faster adoption. Vendor selection typically happens earlier in the project lifecycle, during procurement and planning, not during go-live readiness. Crisis coaching is more about incident response and broader continuity planning and isn’t a standard go-live readiness activity. Data archiving concerns historical data management and long-term retention, which are addressed in data governance and migration plans rather than the immediate readiness to go live.

Focusing on preparing people to use the new system is essential for a smooth transition. Completing user training is central to go-live readiness because it directly enables staff to perform their tasks correctly with the new workflow, reduces user frustration, and cuts down post-go-live support needs. When training is ready—with role-specific content, hands-on practice, and a plan for refresher sessions—users can navigate the system confidently from day one, which supports safer, more efficient operations and faster adoption.

Vendor selection typically happens earlier in the project lifecycle, during procurement and planning, not during go-live readiness. Crisis coaching is more about incident response and broader continuity planning and isn’t a standard go-live readiness activity. Data archiving concerns historical data management and long-term retention, which are addressed in data governance and migration plans rather than the immediate readiness to go live.