Systems Image
  1. A/B Testing (216) - Comparing two versions (A and B) of something to see which performs better, often used in marketing or product development.
  2. Algorithms (217) - Step-by-step procedures or formulas for solving problems or completing tasks, often used in computing and data analysis.
  3. Black Box (218) - A system or process that is opaque or not fully understood, particularly regarding its inner workings or decision-making processes.
  4. Bottlenecks / Constraints (219) - Points of congestion or restriction in a system that limit its overall performance or efficiency.
  5. Crowdsourcing (220) - Outsourcing tasks or gathering information from a large group of people, often facilitated through digital platforms or social media.
  6. Dark Patterns (221) - Design techniques used to manipulate or deceive users into taking actions they might not otherwise choose.
  7. Decision Tree (222) - A visual representation of decision-making processes, often used in problem-solving or predictive analytics.
  8. Directly Responsible Individuals (223) - Designating individuals who are directly accountable for specific outcomes or tasks within a system or organization.
  9. Distributive Justive vs Procedural Justice (224) - The distinction between fair outcomes (distributive justice) and fair processes (procedural justice) within systems or societies.
  10. Feedback Loops (225) - Mechanisms where outputs of a system are fed back as inputs, influencing subsequent outputs in a continuous cycle.
  11. Flywheel (226) - A concept describing the cumulative effect of small actions or efforts that compound over time to produce significant results.
  12. Garbage In (227) - The principle that the quality of inputs or data directly affects the quality of outputs or outcomes in a system.
  13. Government Failure (228) - Instances where government intervention or regulation leads to unintended negative consequences or inefficiencies.
  14. Hierarchical Organization (229) - Structuring an organization or system with multiple levels of authority or control, typically with a top-down approach.
  15. Hysterisis (230) - The tendency for a system's state or behavior to persist even after the factors influencing it have changed.
  16. Incentives (231) - Motivations or rewards offered to encourage specific behaviors or outcomes within a system or organization.
  17. Law of Diminishing Returns (232) - The principle that after a certain point, increasing inputs (such as effort or resources) yields progressively smaller increases in outputs or benefits.
  18. Margin of Safety (233) - Building in a buffer or extra capacity within a system to account for uncertainties, errors, or unexpected events.
  19. Parallel Processing (234) - Performing multiple tasks or operations simultaneously, often to improve efficiency or speed in computing or manufacturing.
  20. Perverse Incentives (235) - Incentive structures that produce unintended or counterproductive outcomes contrary to the intended goals.
  21. Premature Optimization (236) - Attempting to optimize or improve a system or process before fully understanding its requirements or constraints.
  22. Principal-Agent Problem (237) - The conflict of interest that arises when one party (the principal) delegates authority or decision-making to another (the agent), often resulting in misaligned incentives.
  23. Pro-Con List (238) - A method of decision-making involving listing the pros and cons of a particular choice or course of action.
  24. Proxy (239) - A stand-in or representative used to measure or infer something that is difficult or impractical to directly observe or assess.
  25. Systematic Review (240) - A comprehensive and structured assessment of existing evidence or literature on a particular topic or research question.
  26. Technology Adoption Lifecycle (241) - The stages through which individuals or groups adopt new technologies, including awareness, interest, trial, adoption, and continued use.
  27. Veil of Ignorance (242) - A thought experiment that asks individuals to make decisions without knowing their own position or circumstances, promoting fairness and impartiality.