Ep. 224: Michael Hartley: On Decision-Making, Human Factors, Data, Culture and more
Aug 1, 2024
auto_awesome
In this conversation, Michael Hartley, director of InterKnowlogy, shares his expertise in risk management and data science within the mining and energy sectors. He discusses the challenges of decision-making in complex organizations, emphasizing the importance of critical thinking and effective communication. Hartley critiques the overuse of PowerPoint, suggesting better analysis methods. He also highlights the synergy between AI and human decision-making, advocating for proactive, performance-oriented risk management to foster trust and enhance outcomes.
Aligning employee incentives with long-term organizational goals is crucial to prevent misaligned decision-making, as seen in the Shell reserves crisis.
Fostering a culture that encourages open discussion of past mistakes can enhance learning and effective risk management across industries.
Integrating AI into decision-making processes should focus on supporting human needs, enhancing collaboration rather than replacing human decision-makers.
Deep dives
Incentives Over Objectives
Organizations often struggle when the incentives for employees overshadow their objectives, leading to skewed decision-making environments. This misalignment was evident during the reserves crisis at Shell, where employees were rewarded for presenting inflated reserve figures rather than focusing on accurate reporting. As a result, the organization faced significant reputational damage and operational challenges. Addressing this issue requires a cultural shift to ensure that incentives align with long-term organizational goals.
Learning from Mistakes
The importance of acknowledging and learning from mistakes is crucial in shaping effective management practices. One mentor advised the speaker to present all past errors to management as an opportunity for growth, highlighting that past mistakes are minor compared to systemic failures. Such insights influence how decision-makers assess risks and manage projects across industries. By fostering an environment where mistakes are openly discussed, organizations can enhance their learning culture and decision-making processes.
Quality Assurance in Decision-Making
A shift from a traditional quality control mindset to a quality assurance framework is necessary for improving decision-making processes within organizations. Quality assurance focuses on the integrity and effectiveness of systems designed to manage material risks rather than simply measuring outputs. The insights shared from the Deepwater Horizon disaster emphasize that failure often stems from poorly designed decision-making environments that overlook essential variables. Organizations must prioritize enhancing these systems to ensure they systematically receive, consider, and respond to information.
Embracing Weak Signals
Weak signals, which indicate potential failures within successful operations, should be carefully monitored and reported on by organizations. Recognizing these signals allows companies to draw connections between operational performance and critical decision-making systems. By fostering a culture that encourages the identification of weak signals, decision-makers can intervene early and mitigate the risks of larger failures. This requires a commitment to quality assurance practices that link inputs, processes, and outcomes.
Harnessing AI for Better Decisions
While artificial intelligence can enhance decision-making, it is essential to focus on how it serves human decision-makers rather than replacing them. AI should act as a supportive tool, providing critical information to decision-makers in a digestible format. The notion of framing AI systems around human needs emphasizes collaboration rather than reliance on automation. Ultimately, successful integration of AI in organizations should facilitate better decision-making, support quality assurance, and encourage critical thinking among leaders.
Today I welcome fellow Canadian Michael Hartley to the show. Michael is the director of InterKnowlogy, mining and energy. And that is a firm that operates at the intersection of risk management, human factors and data science to enhance decision-making. This conversation covers a wide range of fascinating stuff, mostly about how decisions get made during complexity and crises, mostly from Michael's background in energy and mining. However, the insights are applicable to a huge number of other contexts. And we cover the importance of decision making and critical thinking, understanding when decisions get made in organizations, data quality and presenting information, managing crises, AI and much more.