Systems Thinking and Beyond

The AI team take a deep dive into a talk that shares experiences using AI as a smart search engine, how it can provide new insights when using AI as a search engine, and assist with writing textbooks, conference and journal papers, in the classroom, in systems engineering tools, creating images and graphics, creating and debugging software, marketing, self-reflection, creating podcasts and presentations. The talk also covers some ethics and the potential for scams. The talk discusses the dialog and iterative active listening needed for effective communication. It warns that the AI is a great sycophant, apologizes very well, and tends to hallucinate, so that we need to ‘trust but verify’ Al the information it produces. The talk concludes that AI is a very useful tool, but has to be treated as an apprentice who has access to a lot of information but needs to be guided and constantly checked. The talk was given at the BCS SQM XXXIII 2025 International Quality Conference on 19 September 2025. The YouTube URL of the recording is https://youtu.be/0LPqiMA_j-0

The AI takes a deep dive into the book "Systemic and Systematic Project Management" by J. Kasser (2019), exploring project management as a problem-solving paradigm that emphasizes the need for both systemic thinking, which considers the whole system, and systematic thinking, which involves a methodical, step-by-step approach. The book details various aspects of project lifecycle management, including planning methodologies like the "build a little test a little" method, cost and schedule estimation, and risk management strategies such as CRIP and ETL charts. It also addresses the human element in projects, discussing team staffing, motivation, communication, and ethical considerations. Throughout the text, complex project scenarios are broken down and explained using frameworks such as the System Development Process (SDP) and various levels of thinking, providing a comprehensive guide to successful project execution and problem resolution.

The AI team takes a deep dive into research that began with the question, “Why do systems engineering textbooks cover such different material while claiming to represent the same discipline?”. The research investigates the evolution of systems engineering over seven decades, hypothesizing a paradigm shift rather than mere topical variation in literature. Utilizing AI-assisted analysis of textbooks from 1950 to 2023, the study identifies three evolutionary phases: an initial engineering science dominance, a subsequent transition period, and a current fragmentation characterized by the predominance of administrative approaches. The paper argues that this shift, from emphasizing analytical problem-solving to focusing on process coordination, has significant implications for education and practice, potentially explaining inconsistencies and challenges in the field. It also highlights how Model-Based Systems Engineering (MBSE) and INCOSE certifications may reinforce the administrative paradigm, calling for further systematic validation of these preliminary findings. The preliminary analysis suggests a fundamental transformation in systems engineering. While the findings require validation through more rigorous research, they offer a framework for understanding disciplinary fragmentation. The paper advocates for "thoughtful integration that preserves the problem-solving capabilities necessary for breakthrough innovation as core professional competence, while maintaining the organizational coordination benefits of formal administrative process frameworks as supporting professional capabilities." This "systematic integration of both paradigms" is seen as the "greatest challenge and the greatest opportunity for the future of systems engineering education and practice."

The AI team take a deep dive into a 30-year old book, "Applying Total Quality Management to Systems Engineering," explores various facets of systems engineering within a Total Quality Management (TQM) framework. It details the Systems Development Life Cycle (SDLC), outlining phases from requirements definition and design to implementation, testing, and maintenance. The author emphasizes the importance of cost-effective engineering, process improvement, and risk mitigation, introducing concepts like anticipatory testing and metrics for product and process quality. Furthermore, the text examines contractual considerations, proposal development, and the critical role of effective communication and teamwork in achieving successful project outcomes, concluding with discussions on professional ethics and organizational improvement strategies. Save money, the book is available from pre-owned or used book suppliers are very reasonable prices.

The AI team take a deep dive into a webinar in which Dr Joseph Kasser, outlines the top five reasons for difficulties in writing good requirements and proposes solutions. It highlights innovations in systems engineering, project management, and postgraduate education developed by the author. Kasser introduces unique learning programs utilizing the "Evercourse" lifelong learning format to address these challenges. The webinar emphasizes practical knowledge and experience, offering affordable membership for professionals seeking to improve their skills. Ultimately, it serves as an invitation to learn more about overcoming common pitfalls in requirement writing through Kasser's methodologies. Further information may be found at https://therightrequirement.com/educational-opportunities/how-to-write-good-requirements/ To find out how to join the course and its unique affordable cost, book a free call via the contact form at https://therightrequirement.com/the-right-requirement/contact/

The AI team take a deep dive into Professor Hitchins concept of reference models for understanding systems, introducing his Generic Reference Model (GRM) from 1992, which encompasses form, function, and behavior. The text elaborates on these three aspects and then presents the Hitchins Viable Systems Model (H-VSM) as an evolution of the GRM's function model. The H-VSM is depicted as a layered model for analyzing open, autonomous, and viable systems, applicable to various entities from individuals to organizations. Practical application of the H-VSM through an Open/Operational Systems Engineering (OSE) approach is described, emphasizing mission and viability management. They also discuss how the H-VSM can be instantiated for dynamic simulations, such as a naval destroyer in combat, and even anthropomorphically. Ultimately, Hitchins presents a comprehensive framework for understanding and designing effective systems.

The AI team take a deep dive into a systems thinking workshop designed to equip individuals with methods and tools for managing complex systems effectively. This hands-on virtual workshop utilizes a unique format involving pre-recorded lectures and live sessions focused on discussing participant exercises. This innovative approach is rooted in prior work, including the balanced classroom pedagogy which advocates for blending various teaching techniques, and the Evercourse lifelong learning model that emphasizes self-paced learning and interactive live sessions. These related concepts aim to enhance learning outcomes in technical fields like systems engineering and project management by incorporating practical application and continuous feedback. The live session of the workshop is being held in SE Training's FREE one-day conference on Conquering Complexity 2025 in Zurich on 27 May 2025 between 11:15 and 12:30 local time. However, since the live session is being help via Zoom, attendance is open to anyone, anywhere. To register, use the form at https://www.se-training.net/se-training-conquering-complexity/

Our AI team takes a deep dive into a 2011 INCOSE symposium paper which argues that systems engineering lacks a unifying theory. The authors, Dr Joseph Kasser and Prof Derek Hitchins, identify disparate camps within the field, characterized by differing focuses on processes, problems, or the discipline itself. They propose a solution: seven principles for designing "solution systems," aiming to improve systems engineering practice by focusing on the outcome rather than the process. These principles emphasize a clear objective, comprehensive concept of operations, and holistic system design through modular subsystems. The goal is to achieve the level of success seen in NASA's Apollo program. The paper may be found at https://therightrequirement.com/pubs/2011/Unifying%20systems%20engineering-2.pdf

The AI team take a deep dive into a presentation made to the BCS in 2023 which details Dr. Joseph Kasser's experiences improving e-learning, spanning from 1997 to 2022. He describes overcoming challenges in early online learning using limited technology, developing effective asynchronous and synchronous class formats, and creating innovative capstone projects. His approach involved systems engineering principles, focusing on stakeholder needs and iterative development. He highlights the evolution of his teaching methods, including a "balanced classroom" model and a novel lifelong learning program, emphasizing real-world problem-solving and peer collaboration. The text also analyzes student performance and feedback across different teaching methods.

Out AI team take a deep dive into a 2000 conference paper which applied systems thinking to propose solutions to the shortage of qualified instructors in graduate-level Information Technology programs. The core idea is collaborative teaming among universities, using distance education technology to leverage global expertise and overcome geographical limitations. This approach, involving various teaching formats, aims to improve course quality, update curriculum, and address intellectual property concerns. Alternative models are explored, such as a customer-contractor relationship between universities and instructors, enhancing flexibility and competition. Ultimately, the paper advocates for a distributed model of education, leveraging the World Wide Web to create a truly global learning experience. The paper may be found at https://therightrequirement.com/pubs/2000/unisadl.pdf

The AI team take a deep dive into Analysis of Alternatives (AoA), a method for making informed resource allocation decisions, used particularly within government agencies like the OMB and DoD. It outlines four maturity levels of AoA, ranging from justifying a single alternative (Level 0) to a robust multi-dimensional analysis incorporating uncertainty (Level 3). The author critiques existing OMB (Level 1) and DoD (Level 2) approaches, advocating for a Level 3 approach that integrates a comprehensive decision-making process, including uncertainty analysis and stakeholder input. The paper emphasizes the importance of accurate estimations, risk assessment, and a holistic decision-making framework for effective resource allocation. Finally, it suggests using tools like Accord™ to support Level 3 AoA studies. While the paper is dated, the method is just as applicable today as it was when introduced.

The AAI team take a deep dive into the book "Perceptions of systems engineering" which presents a comprehensive examination of systems engineering, exploring its multifaceted nature. The author, a highly experienced systems engineer, analyzes various perspectives on systems engineering, including the "A" and "B" paradigms, highlighting the importance of holistic thinking and the need for a common vision in project planning. The text also examines different methodologies, tools, and models used in the field, and offers insights into improving systems engineering practices and education. Ultimately, it proposes a refined approach, the "Nine-System Model," designed to address inherent complexities and enhance project success.

The AI team does a deep dive into a made to the INCOSE Chesapeake Chapter presentation which challenges conventional systems engineering approaches by advocating for a more holistic, systems thinking perspective. It introduces the Holistic Thinking Perspectives (HTPs) framework, a multi-faceted method for analyzing problems from various viewpoints, including external (systems thinking) and internal (analysis) perspectives. The presentation contrasts systems thinking with conventional problem-solving, illustrating its limitations and highlighting the importance of understanding the system's context and emergent properties. Furthermore, it critiques existing systems engineering standards and educational practices, arguing that they often fail to adequately address the complexities of real-world projects. Finally, it proposes a new paradigm for systems engineering education and practice, emphasizing the need for critical thinking and a deeper understanding of system behavior over time.

The AI team take a deep dive into a project management course designed for young project managers with a few years experience seeking to advance their skills. The course uniquely emphasizes a systemic and systematic approach, integrating engineering and project management processes for both planning and execution. Key areas of focus include managing the quadruple constraints (scope, schedule, cost, and people) and applying systems thinking to overcome common challenges faced by young project managers. The curriculum, delivered online with supplementary textbooks, covers a comprehensive range of topics from project initiation and planning to risk management, team leadership, and project closure, aiming to cultivate outstanding project management capabilities. Further information can be found at https://therightrequirement.com/educational-opportunities/creating-outstanding-project-managers/

Our AI team takes a deep dive into a guide to writing and presenting high-quality conference papers, authored by Professor Joseph Kasser. It discusses all stages of the process, from brainstorming and researching to writing, citing sources correctly, and giving presentations. Significant attention is paid to avoiding plagiarism and intellectual property issues. The guide uses exercises and examples to illustrate key concepts, and includes discussions of effective presentation techniques and dealing with reviewers' comments. Ultimately, the goal is to help create impactful conference papers and presentations.

Our AI team takes a deep dive into a presentation made to the INCOSE Chesapeake chapter in July 2022. The presentation/paper explores the creation of a postgraduate systems engineering course designed to cultivate "outstanding" systems engineers. The study employs a systems approach, analyzing various pedagogical methods and identifying key skills and knowledge requirements. It introduces a framework categorizing systems engineers into five types based on their problem-solving abilities and proposes a competency model for assessment. Prototyping and iterative feedback informed the course design, leading to a blended learning model incorporating real-world emulation and a flexible, self-paced structure. Finally, the research highlights the challenges and lessons learned in developing this unique postgraduate program. The recording of the presentation may be found at https://youtu.be/7Vh_Z4EB4IA

The AI team take a deep dive into Barry Richmond's The 'Thinking' in Systems Thinking which introduces seven essential skills for effective systems thinking. The text explains these skills—Dynamic Thinking, System-as-Cause Thinking, Forest Thinking, Operational Thinking, Closed-Loop Thinking, Quantitative Thinking, and Scientific Thinking—providing detailed definitions and examples of each. It emphasizes the interconnectedness of these skills and their application in building and using models to understand complex systems. The book advocates for a holistic approach, moving beyond simplistic cause-and-effect thinking to grasp dynamic interactions and feedback loops. It stresses the importance of rigorous model testing and validation for making informed decisions.

The AI team take a deep dive into Derek K. Hitchins' book, "Systems Engineering: A 21st Century Systems Methodology." It comprehensively explores systems engineering principles and their application to diverse fields. The book uses a holistic approach, emphasizing the importance of understanding the interactions between system components and their environment. It covers various methodologies, including the Generic Reference Model (GRM) for system design and the Rigorous Soft Method (RSM) for problem-solving. The text also examines the role of human behavior and organizational structures in systems engineering, using case studies to illustrate practical applications in areas such as defense systems, lean manufacturing, and disaster relief. Finally, the excerpt touches upon the concept of intelligent systems and their application in addressing complex, evolving problems.

The AI team take a deep dive into a collection of excerpts from a book which centers around holistic and systems thinking as applied to various domains, including systems engineering, problem-solving, and decision-making. Author Joseph E. Kasser's background in systems engineering and academia informs the text, which explores cognitive processes, communication strategies, and the nature of systems. The material presents numerous tools, techniques, and real-world examples to illustrate concepts such as brainstorming, critical thinking, and innovation. Furthermore, it examines how these approaches can be used to analyze complex situations, make effective decisions, and develop creative solutions across a range of scenarios. The book may be found on Amazon at https://www.amazon.com/Holistic-Thinking-innovative-solutions-Engineering/dp/1515235300/ref=sr_1_1?crid=279VOXEMBYWSH&dib=eyJ2IjoiMSJ9.pGhJRugnJgUJJqj_tWVJ4JH5jbaSsJ3CcZMVebqDOM7eBUQSVWkT1bgz6yw21sV4RTU8O-sVoxWibmMuxHPIUJ3nsQp13OO14c6OMHg4Dy1QxGjuwXLOvNOpsmf989iyBLQXzS-NGGRvd5oa0j3oN2ZFyAhHk_hob2q_YeuBmJ1j4ANrR5W-ocp1Umz_76RCZR88AH6Q9xgrq7IvywO4POgcC68ljdrA04rIUHXiRkU.DgXVMbyEWWP6rPCeSXzRo6dlRWOdMz-zj2_0k1d4hbA&dib_tag=se&keywords=holistic+thinking&qid=1741926111&sprefix=holistic+thinking%2Caps%2C350&sr=8-1

The AI team take a deep dive into a case study by Niels Malotaux, a project coach, on resolving a significant QA backlog caused by an imbalance between developers and testers. Malotaux implemented "Evolutionary Planning," a methodology emphasizing iterative planning, continuous improvement (Plan-Do-Check-Act cycle), and proactive developer involvement in testing. This approach drastically reduced the backlog, improved customer satisfaction, and boosted sales. The core of the methodology involves breaking down tasks, estimating effort, identifying bottlenecks, and iteratively optimizing the process through frequent feedback. Finally, the text advocates for this approach as a way to improve testing effectiveness and overall project success. Access this booklet and much, much more, at https://www.malotaux.eu/