CoE Risk #12: Learning from Failure

How to Use Risk Management to Improve Program Performance

Failure, often feared and avoided, can be one of the greatest catalysts for learning and improvement within program management. Understanding the role of risk management as a tool for learning from failure is pivotal for enhancing program performance. This blog post aims to deepen project managers’ insights into this transformative approach, referencing thought leaders who have pioneered these concepts.

Series

You will find this post is one of several in the series I have focused on Risk: Check out the other posts here.

The Value of Failure in Risk Management

Failure in projects and programs, while not the desired outcome, provides invaluable ‘lessons learned’ that can be used to fortify future initiatives. The process of extracting lessons from failures is a critical component of a risk management strategy focused on continuous improvement.

  • Post-Mortem Analysis: Conduct thorough reviews post-failure to uncover the root causes of risks that were realized.
  • Failure Databases: Create and maintain databases of past failures to serve as a reference for risk identification in future projects.
  • Cultural Shift: Encourage a shift in organizational culture that does not stigmatize failure but views it as an opportunity for learning and growth.

Best Practices for Learning from Failure

Best practices for learning from failure through risk management involve a structured and analytical approach:

  • Structured Debriefs: Implementing regular debriefing sessions following both failed and successful projects to discuss what went right or wrong.
  • Quantitative Analysis: Using data from failures to quantitatively analyze where risks were underestimated or mismanaged.
  • Documented Learning: Ensuring that all lessons learned are documented and made accessible for future project teams.

Tools to Aid Learning from Failure

Several tools can aid in the learning process:

  • Lessons Learned Repositories: Platforms like SharePoint or Confluence can be used to document and share lessons learned across the organization.
  • Risk Analysis Software: Tools like Monte Carlo simulations can help in understanding the probability and impact of risks, learning from past failures to refine future risk models.

Thought Leaders on Embracing Failure

The narrative around learning from failure has been shaped by several prominent authors and thinkers:

  • Matthew Syed: In “Black Box Thinking: Why Most People Never Learn from Their Mistakes—But Some Do“, Syed explores the dichotomy between industries that learn from failure and those that don’t. He emphasizes the importance of iterative learning and the willingness to adapt based on past failures.
  • Amy C. Edmondson: Known for her work on teaming and organizational learning, Edmondson’s concept of ‘psychological safety’ in “The Fearless Organization” highlights the importance of creating an environment where team members feel safe to discuss and learn from failures.
  • Nassim Nicholas Taleb: In “Antifragile: Things That Gain from Disorder“, Taleb introduces the concept of antifragility, where systems benefit from shocks and failures. His work encourages a rethinking of risk management as a dynamic process that leverages failure to build stronger systems.

The Divide Between Great and Good

The difference between good and great in this context can be seen in the approach to failure:

  • Reactive vs. Proactive Learning: Good programs learn from failure after the fact; great programs proactively seek potential failure points before they occur as part of their risk management process.
  • Blame vs. Understanding: Good programs may seek to assign blame; great programs focus on understanding the underlying causes of failure without judgment.
  • Isolated vs. Institutional Learning: In good programs, lessons from failures may remain with individuals; in great programs, these lessons are institutionalized into the corporate knowledge base.

Series and Post Key Takeaways: Transforming Failure into Performance

For project managers, the path to improving program performance through risk management involves embracing failures as stepping stones to success. By leveraging the wisdom of thought leaders and implementing best practices for learning from failure, they can foster resilience and a more robust approach to risk management. This continuous loop of learning and adaptation is what sets apart high-performing programs and distinguishes the most effective managers in the field.

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