The detection of “weak signals” (outliers or faint organizational clues) is interpreted in the sources as a dynamic interplay between individual cognitive capability and the conceptual “net” or framework used to filter reality. While individual skill is necessary to “hear” these signals, the specific boundaries and worldviews chosen by the observer largely determine which signals are even available to be sensed.
1. Weak Signals as a Property of Individual Capability
Individual sensory and cognitive capability plays a significant role in identifying outliers that others might miss.
• Observer Competence: The results of observational studies are “critically dependent upon the competence of the observer”[1]. In one recorded instance, a lead observer with specific investigative training identified twice as many information management problems as other experienced analysts in the same situation[1].
• Readinesses to Notice: Through previous experience, individuals develop internal “readinesses” to notice particular aspects of a situation and discriminate them in specific ways[2].
• Craft Skills: The ability to navigate complex situations and identify relevant issues is described as a “craft skill” that develops with repeated practice and experience[5].
• Internalized Methodology: A seasoned practitioner who has internalized a methodology like SSM can “recognize and engage” shifting and turbulent elements in their practice that a novice might overlook[8][9].
2. Weak Signals as an Emergent Artifact of the “Net”
The sources emphasize that what we “see” is not a direct reflection of the world but an emergent property of the intellectual framework (the net) we cast over the “flux” of reality[10].
• The Concept of Capta: Human beings do not process all data; instead, they select a small subset to pay attention to, turning “data” (the world’s givens) into “capta” (that which we take)[13]. If the observer’s “net” is not designed to capture specific outliers, those data points remain ignored and never reach the status of information[13].
• Boundary Judgments: Boundaries are not “given” by reality but are intellectual constructs that define the limits of what knowledge is considered pertinent[17][18]. A narrowly drawn boundary may categorize a “weak signal” as irrelevant “noise” or “environment,” whereas a wider boundary would reveal it as a significant system component[17][19].
• Station Points and Layered Thinking: The observer’s choice of “level” or “layer” (the station point) determines what is visible[20]. Confusion often arises because observers fail to separate different levels of “What,” “How,” and “Why,” causing them to miss signals that only appear at a specific hierarchical resolution[20].
• Weltanschauung (Worldview): Any “relevant system” is selected according to a particular worldview that makes the inquiry meaningful[23]. This worldview acts as a filter; for example, what a “queuing theory fanatic” sees as a problem will be entirely different from what a social worker sees, even when looking at the same situation[24][25].
3. The Interaction: The Appreciative System
Ultimately, the detection of outliers is an emergent property of the Appreciative System—a mental evaluative mechanism that uses standards of fact and value to “filter” perceptions[4].
• Systemic Bias: By selecting simple systems for examination, observers introduce a systematic bias into their picture of the world, which can obscure complexity and outliers[28].
• Recursive Mutual Creation: Perceived reality and intellectual concepts “steadily create each other” in a never-ending cycle[29]. The “net” chosen by the observer (their methodology and boundaries) conditions their future experience, modifying their “in-built readinesses” to see certain features as significant while neglecting others[4][30].
In summary, while individual competence allows an observer to “hear” faint clues, the framing of the inquiry—including boundary judgments and the chosen worldview—acts as the “net” that determines which signals are caught and which pass through unnoticed[1].
References
[1] [Book] Checkland - Critical Issues in Systems Theory and Practice.pdf [2] Checkland - From Optimising to Learning a development of systems thinking for the 1990s.pdf [4] [Book] Checkland,Holwell - 1998 - Information, systems, and information systems - Wiley.pdf [5] [Book] Checkland - Learning for Action.pdf [8] Checkland - The Emergent Properties of SSM in Use.pdf [9] Checkland Holwell - Action research its nature and validity.pdf [10] Checkland 2011 - Systems Thinking and Soft Systems Mehthodology.pdf [13] Checkland 2011 - Systems Thinking and Soft Systems Mehthodology.pdf [17] [Book] Checkland - Critical Issues in Systems Theory and Practice.pdf [18] [Book] Checkland - Critical Issues in Systems Theory and Practice.pdf [19] checkland handbook of systems analysis.pdf [20] Checkland - Soft Systems Methodology A Thirty Year Retrospective.pdf [23] Checkland 1997 - Reflecting on SSM the link between Root Definitions and Conceptual Models.pdf [24] checkland handbook of systems analysis.pdf [25] checkland handbook of systems analysis.pdf [28] [Book] Checkland - 1981 - Systems thinking, systems practice - J. Wiley.pdf [29] [Book] Checkland,Scholes - 1990 - Soft systems methodology in action - Wiley.pdf [30] Checkland 2005 - Webs of Significance - the work of Geoffrey Vickers.pdf