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Add blob trees and montecarlo simulation
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# Monte Carlo simulations | ||
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Monte Carlo methods are a powerful tool for making data-driven decisions in environments with uncertainty. They use random sampling to model possible outcomes and estimate probabilities, helping to assess risks, optimize processes, and forecast performance. | ||
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For example, in software delivery, Monte Carlo simulations can predict project timelines by running thousands of simulations based on historical data. Instead of relying on a single estimate, this approach provides a probability distribution of completion dates, offering a realistic view of potential delays. | ||
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In financial planning, Monte Carlo can model different cost scenarios, helping to anticipate budget overruns. Similarly, in system reliability, it can simulate failure rates to improve resilience and maintenance strategies. | ||
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Leveraging Monte Carlo methods, decision-making becomes less reliant on intuition and more grounded in probabilistic analysis, leading to more predictable and optimized outcomes. | ||
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--- | ||
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## Concrete Example: Project Delivery Forecast | ||
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Imagine a software team wants to predict how long a project will take to complete. Based on historical data: | ||
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- The team completes between **5 and 15 tasks per week** (with an average of 10). | ||
- The project has **200 tasks** remaining. | ||
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Using a Monte Carlo simulation, we run **10,000 iterations**, each time randomly selecting a completion rate between 5 and 15 tasks per week. The results might look like this: | ||
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- **10% chance** of finishing in **13 weeks** (best case). | ||
- **50% chance** (median) of finishing in **17 weeks**. | ||
- **90% chance** of finishing in **22 weeks** (worst-case but likely scenario). | ||
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This approach provides a **probabilistic range** instead of a single estimate, allowing for better planning and risk management. It helps answer critical questions like: | ||
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- _What is the likelihood of completing within 18 weeks?_ | ||
- _How much buffer should we plan for?_ |
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# The Blob Tree | ||
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The **Blob Tree** is a visual tool often used to assess emotions, team dynamics, and individual perspectives within an organization. It consists of various blob-like human figures positioned in different scenarios on a tree—some climbing, some at the top, some falling, some helping others, etc. This tool can be particularly useful in leadership, management, and organizational development contexts. | ||
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## How It’s Used in a Tech Leadership Context | ||
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### 1. Team Morale & Well-Being | ||
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- Individuals can point to a figure that represents how they currently feel in their role. | ||
- Helps gauge emotional and psychological safety within teams. | ||
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### 2. Change Management | ||
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- When an organization undergoes transformations (e.g., adopting new technology, restructuring, scaling), members can express where they feel they are in the process. | ||
- Identifies those who feel lost, overwhelmed, or thriving in change. | ||
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### 3. Leadership Insights | ||
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- Helps leaders understand team sentiment without direct questioning, which can sometimes lead to guarded responses. | ||
- Encourages open dialogue about struggles and aspirations. | ||
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### 4. Collaboration & Support Mapping | ||
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- Visualizes who feels supported and who feels isolated. | ||
- Encourages peer mentoring and collaboration. | ||
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### 5. Career & Personal Growth Discussions | ||
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- Employees can identify where they see themselves on the tree and where they aspire to be. | ||
- Facilitates conversations around career progression and professional development. | ||
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By using the Blob Tree in strategic discussions, leaders can gain a deeper, more nuanced understanding of their teams beyond traditional surveys or feedback forms. |
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# People stories in leadership | ||
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## Janitor putting a man on the moon | ||
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> In 1962, President John F. Kennedy visited NASA for the first time. During his tour of the facility, he met a janitor who was carrying a broom down the hallway. The President then casually asked the janitor what he did for NASA, and the janitor replied, **"I’m helping put a man on the moon."** |
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