Iron TriangleComplexities of innovation and estimation.Antoni Alright team, we’ve got an exciting AI project ahead, but we must stick to the budget and deadline.Sarah But what if we add another feature? It could really set us apart!Antoni I understand, but remember the Iron Triangle. Expanding scope will eat into our time and resources.Narrator As the team dives deeper, hidden complexities emerge—trivial tasks distract them from the main goals.Antoni So we need to focus! Our estimations keep leading us to phantom projects that drain our resources.Josh But how can we combat this? The more we try to fix it, the worse it seems to get!Antoni We need to embrace exponential thinking. If we can visualize the complexity, we can manage it better.Narrator Antoni’s revelation inspires the team. They start to simplify and prioritize tasks to eliminate distractions.Sarah Each new resource, scope and time element change things exponentially. We will tackle the most critical paths first, keep our scope in check and work as a small team to keep things under control.Antoni Exactly! Let’s keep our iron triangle in check and focus on delivering quality over quantity.Plot: @Antoni, a project manager in a futuristic innovation lab, must lead a team to develop a groundbreaking AI breakthrough within a strict budget and deadline. As time progresses, despite the initial momentum, inefficiencies compound, trivial tasks get disproportionate attention, and hidden complexities emerge, exponentially consuming resources. Twist: Each time @Antoni makes an estimation, a "phantom" project emerges, duplicating the original but with exponentially more complexity and inefficiencies. These phantom projects mirror reality, sucking resources and delaying the real work. @Antony must confront the paradox head-on, realizing that only by embracing exponential thinking can he collapse the phantom projects. Theme for image prompts: Conceptual Tech Art, Neo-Cubist Visualization Notes: Parkinson's Law: work expands to fill time, Iron Triangle of scope, resources, and time, so if you freeze time and cost, scoe expands to fill it. The rate of return reduces exponentially as you work on it. To improve quality a little more, a lot of time is required. So estimations are always off because humans think linearly. Inefficiency of resources also scales exponentially due to bike-shedding and lack of critical path analysis. Same can apply to scope, adding additional features increases effort by the number of existing features. Procrastination due to optimistic estimation of these exponential curves kills projects.
