Thriving in Complexity for pre-series A and beyond
999,00 € - 1.499,00 €
This 4-session workshop provides you with the frameworks and tools to navigate complexity, reduce risks, and foster sustainable growth by building anti-fragile systems through shared governance and collaboration.
In business strategy, growth models are essential tools that help organizations project and manage their expansion by analyzing factors like customer acquisition costs, conversion rates, and revenue generation.
However, a critical error is made in economics and business theory that assumes that these growth models are predictable. Learn how to navigate complexity in an ever increasing complex environment by harnessing the non-ergodic nature of business growth.
What Sets This Course Apart?
Each module is carefully crafted to tackle the root causes of fragility in modern business:
Course Highlights
Duration: 4 sessions of 2 hours each
Format: Zoom: Interactive workshops
Target Audience: Startup founders and executive teams (pre-Series A and beyond)
Learn how to transform your startup into an ecosystem that thrives amidst volatility. This course dives into the principles of non-ergodicity and anti-fragility, equipping you with actionable strategies to create resilient and collaborative systems that leverage uncertainty as a driver for growth.
What You’ll Gain
Resilience in Uncertainty
Understand how to identify fragility in your business and create systems that thrive under pressure.Collaborative Ecosystems
Learn to implement shared governance and fractional profit pooling to build interconnected, anti-fragile networks.Predictable Growth
Discover how to design an ergodic ecosystem that reduces risks and delivers sustainable results over time.Practical Frameworks
Apply proven strategies to turn market volatility into a competitive advantage.
Who Should Enroll?
Founders and executive teams from pre-Series A startups and beyond.
Leaders seeking innovative approaches to resilience and growth.
Teams finding themselves struggling with traditional and extractive growth models.