Framing Decisions, Mitigating Bias and Probabilistic Insight for Innovation

X:XX Hours
Organizations and technical professionals make difficult decisions every day, but not all of them are high-quality or innovation-driving. This course equips professionals with practical tools and mindsets to frame their work clearly, evaluate options rigorously, and generate ideas that create real value.

Participants Learn To:
  • Frame projects and decisions with clear purpose, scope, and diverse perspectives
  • Define and assess decision quality
  • Generate and compare value-creating alternatives
  • Incorporate uncertainty into evaluations and recommendations
  • Structure complex problems for probabilistic modelling
  • Recognize and mitigate cognitive biases
  • Develop innovative ideas that gain traction

Through industry-relevant examples and hands-on tools, learners strengthen project evaluations, improve decision outcomes, and unlock innovation across technical and strategic work.

Who Should Attend:
  • Technical professionals
  • Project leaders
  • Strategists and decision-makers
  • Innovators
  • Anyone seeking to elevate decision quality and increase the value of their work

What You Will Learn:
  • Decision Quality framework and best practices
  • Project framing and Issue Raising facilitation
  • Generating compelling alternatives
  • Assessing and communicating uncertainty
  • Structuring problems for probabilistic analysis
  • Insights from sensitivity analysis and alternative comparisons
  • Develop innovative ideas that gain traction
  • Innovation types and practical innovation tools
  • Advancing decisions and ideas

Why This Course is Valuable
This course equips participants with the decision-making, analytical, and innovation tools long used by leading energy companies to improve outcomes. By learning to frame projects clearly, define value explicitly, and generate compelling alternatives, participants make decisions that are better informed about both risk and upside potential.

Structured probabilistic models reveal key drivers of results, highlight constraints and mitigation levers, and expose hidden biases that can distort judgment. Awareness of cognitive biases strengthens accuracy in complex evaluations, while the course’s emphasis on divergent thinking encourages creativity before converging on rigorous, evidence-based recommendations.

Together, these capabilities enable stronger insights, more confident decisions, and greater value creation across projects.

01-01 – Introduction to Quality Decision Making
01-02 – Framing the Problem
01-03 – Generating Alternatives that Unlock Value
01-04 – Acknowledging Uncertainty and Gathering Information About It
01-05 – Values, Decision Evaluation and Action
01-06 – Probabilistic Evaluation and Value Insights

02-01 – Cognitive Biases: Awareness and Mitigation
02-02 – Innovation and Creative Problem Solving

03-01 – Geology and Reservoir Engineering Examples – Thinking Probabilistically

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