The challenge of... decision making in complexity

Leaders take decisions. They take strategic decisions. They take tactical decisions. In a world and in a business environment characterised by volatility, uncertainty, complexity, and ambiguity (“VUCA”), taking the right decision is crucial, but difficult. There are usually no ‘right’ answers.

This challenge is also known as…

  • prioritisation
  • making choices
  • resolving dilemmas
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Defining a stakeholder

Decision Making and Complexity can be defined as…

“Decision-making” can be defined as “the cognitive process resulting in the selection of a belief or a course of action among several possible alternative options. It could be either rational or irrational. Decision-making process is a reasoning process based on assumptions of values, preferences and beliefs of the decision-maker. Every decision-making process produces a final choice, which may or may not prompt action.”
(Wikipedia)

“Complexity” characterises the behaviour of a system or model whose components interact in multiple ways and follow local rules, meaning there is no reasonable higher instruction to define the various possible interactions. The term is generally used to characterize something with many parts where those parts interact with each other in multiple ways, culminating in a higher order of emergence greater than the sum of its parts.
(Wikipedia)

Examples of stakeholders
  • Information overload
  • analysis paralysis
  • time pressure
  • cognitive biases
  • team dynamics
  • personal biases
  • emotions
  • decision fatigue

Real world challenges

Prendo’s customers face many challenging situations when decision making in complexity:

How can we take decisions as a group when no-one agrees on anything?
We need guidance on how to take decisions when there is no right answer
There are just too many variables/unknowns to take into consideration when taking this decision

Advanced simulations can help leaders address these real world challenges

At Prendo, we believe that the complex skills and deep understanding that are needed for decision-making in complexity are best developed with advanced simulations that provide accelerated experiential learning and the opportunity to explore the underlying cause and effect models.

Talk to us to understand if our simulations can address your specific challenges

Learning to make decisions in complexity

To address the challenge of decision making in complexity, in other words in a volatile, uncertain, complex and time-pressured context, leaders need a combination of skills (know-how) and understanding (know-that), in the same way that the driving test combines the practical and the theory:

leaders need to be able to…

  • use the final objectives as the basis for decision making
  • gather information, ask the right questions
  • develop and brainstorm alternatives
  • identity and weigh up the pros and cons of different options
  • counter innate ‘optimism’ and other decision biases
  • manage unexpected changes, risk and uncertainty
  • determine appropriate preventative, mitigating and contingency actions

as part of an overall approach to decision making in complexity

leaders need to understand…

  • probability and impact of risks
  • all the possible decision biases and traps

Make decisions in complexity more effectively
with these simulation workshops:

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