Brian Ruskin

Framing Decisions, Mitigating Bias and Probabilistic Insight for Innovation Course

Brian Ruskin

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.Read more...

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 modeling
• 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
• Common cognitive biases and mitigation techniques
• 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 consistently improve outcomes. By learning to frame projects with clarity, define value explicitly, and generate compelling alternatives, participants make decisions that are better informed about both risk and upside potential. Structured probabilistic models reveal what truly drives results, highlight constraints and mitigation levers, and expose hidden biases that can distort judgment. Building 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.

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Course contents

Chapter 1 - Foundations of Quality Decision‑Making

  • 01-01 - Introduction to Quality Decision Making (15 min.) Sample Lesson
  • 01-02 - Framing the Problem (14 min.) Quiz
  • 01-03 - Generating Alternatives that Unlock Value (13 min.)
  • 01-04 - Acknowledging Uncertainty and Gathering Information About It (31 min.)
  • 01-05 - Values, Decision Evaluation and Action (12 min.) Quiz
  • 01-06 - Probabilistic Evaluation and Value Insights (26 min.) Quiz

Chapter 2 - Bias‑Aware Thinking and Creative Innovation Techniques

  • 02-01 - Cognitive Biases: Awareness and Mitigation - Part 1 (18 min.) Quiz
  • 02-01 - Cognitive Biases: Awareness and Mitigation - Part 2 (26 min.) Quiz
  • 02-02 - Innovation and Creative Problem Solving (23 min.)

Chapter 3 - Geology and Reservoir Engineering Examples – Thinking Probabilistically

  • 03-01 - Geology and Reservoir Engineering Examples – Thinking Probabilistically (28 min.)