By D'Agostini G.
Those notes are in keeping with seminars and minicourses given in a variety of locations over the past 4 years.
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Additional resources for Bayesian reasoning in physics (lecture notes)
Inadequate requirements definition and management 15. Insufficient team management In this chapter • Learn what comprises a “successful” project • Understand the common characteristics of “troubled” projects • Review the common characteristics of successful projects • Learn which tools are indispensable to most project managers Essential Elements for Any Successful Project In this chapter, we want to continue the accelerated learning approach we started in the previous chapter. Anytime you are learning a new skill set, especially one that is as broad as project management, one of the most effective ways to reduce your learning curve and focus your mental energies is to understand what “successful” people do in the field, and, equally important, understand what not to do.
2. Not properly managing stakeholder expectations throughout the project. 3. Not gaining agreement and buy-in on project goals and success criteria from key stakeholders. 4. Not developing a realistic schedule that includes all work efforts, task dependencies, bottom-up estimates, and leveled assigned resources. 5. Not getting buy-in and acceptance on the project schedule. 6. Not clearly deciding and communicating who is responsible for what. 7. Not utilizing change control procedures to manage the scope of the project.
Facilitator—Ensures that stakeholders and team members who come from different perspectives understand each other and work together to accomplish the project goals. ■ Persuader—Gains agreement from the stakeholders on project definition, success criteria, and approach; manages stakeholder expectations throughout the project while managing the competing demands of time, cost, and quality; and gains agreement on resource decisions and issue resolution action steps. ■ Problem-Solver—Utilizes root-cause analysis process experience, prior project experiences, and technical knowledge to resolve unforeseen technical issues and to take any necessary corrective actions.
Bayesian reasoning in physics (lecture notes) by D'Agostini G.