Profile

Runa Kvinlaug

This user account status is Approved

Comments Comments

The main difference is flexibility. Predictive planning sticks to a fixed plan, while Agile adapts to changes rapidly.

On Explain when it is appropriate to use a predictive, plan-based approach.

Understanding 'accept' strategy is really important, especially in dynamic projects.

On avoid, accept, mitigate, enhance, contingency planning etc.

This blog post provides an excellent overview of portfolio management-related processes. It's crucial for stakeholders to understand these protocols.

On Prepare and/or facilitate stakeholder understanding of portfolio managementrelated processes, procedures, and protocols using organizational assets (e.g., information systems, training delivery methods) in order to promote common understanding and application of the portfolio management process.

Thanks for the useful information!

On Determine how to document project controls of predictive, plan based projects.

Great post! Understanding the requirements for managing project artifacts is crucial for the PMP exam.

On Determine the requirements (what, when, where, who, etc.) for managing the project artifacts

Any advice on tailoring communication approaches for different stakeholders?

On Develop an effective communication strategy to ensure all project communication needs are identified and met

Could anyone suggest best practices for effective project transition?

On Explain project closure and transitions.

Thanks a lot. This was very helpful in understanding the metrics and criteria for my exam.

On Elaborate and specify detailed metrics and acceptance criteria using measurement tools and techniques for use in evaluating whether the solution meets requirements.

When dealing with defects, how do you decide whether to fix them immediately or schedule them for a future sprint?

On Inspect and adapt the project plan to reflect changes in requirements, schedule, budget, and shifting priorities based on team learning, delivery experience, stakeholder feedback, and defects in order to maximize business value delivered.

For someone diving into Monte Carlo simulations, what resources would you recommend?

On Monte Carlo, decision trees, critical path, expected monetary value, etc.

load more comments