Uncertainty Flashcards
Uncertainty
A lock of understanding and awareness of issues, events, paths to follow or solutions to pursue.
Ambiguity
A state of being unclear, having difficulty in identifying the cause of events, or having multiple options from which to choose.
Complexity
A characteristic of a program or project or its environment that is difficult to manage due to human behavior, system behavior, and ambiguity.
Volatility
The possibility for rapid and unpredictable change.
Risk
An uncertain event or condition that, if it occurs, has a positive or negative effect on one or more project objectives.
Environmental aspects that contribute to uncertainty
Economic factors
Such as volatility in prices, availability of resources, ability to borrow funds and inflation/deflation
Technical considerations
Such as new or emerging technology, complexity associated with systems, and interfaces.
Legal or legislative constraints or requirements
Physical environment as it pertains to safety, weather, and working conditions
Ambiguity associated with current or future conditions
Social and market influences shaped by opinion and media
Political influences, either external or internal to the organization
Options for responding to uncertainty
Gather information
Prepare for multiple outcomes
Set-based design
Build in resilience
Resilience
The ability to adapt and respond quickly to unexpected changes.
Conceptual Ambiguity
The lack of effective understanding
when people use similar terms or arguments in different ways
Situational Ambiguity
When more than one outcome is possible
Having multiple options to solve a problem
Experiments
A well-designed series of experiments can help identify cause-and-effect relationships or, at least, can reduce the amount of ambiguity.
Progressive elaboration
The iterative process of increasing the level of detail in a project management plan as greater amounts of information and more accurate estimates become available.
Prototypes
Can help distinguish the relationships between different variables.
Ways to work with complexity that are systems-based
Decoupling
Simulation
Ways to work with complexity that entail reframing
Diversity - brainstorming with the project team to open up divergent ways of seeing the system
Balance - Balancing the type of data used rather than only using forecasting data or data that reports on the past or lagging indicators provides a broader perspective.