Proposed Heuristic Indices and Diagnostic Profiles for Thirteen Operational and Efficiency Traps: Beyond Management, Book Two, Part Two

Organisations adopt comprehensive risk systems, customer-centred routines, purpose statements, digital platforms, communication channels, change programmes, outsourcing arrangements, innovation showcases, large data estates, growth strategies, financial-market disciplines and memory-preserving practices for sound reasons. Each can also drift away from the purpose it was designed to serve. The diagnostic problem is to examine that drift through explicit, reproducible calculations and structured profiles, without treating any resulting number as evidence of managerial fault, organisational disease or impending failure. This paper presents the heuristic instruments of Part Two of Book Two of the series Beyond Management, whose thirteen chapters (13 to 25) each analyse one operational trap. Ten instruments are those the book states in its text: the Strategic Blindness Index in its Chapter 13 form (SGI), the Cognitive Dependency & Capacity Erosion Index (CD-CEI), the Change Fatigue & Expertise Erosion Index (CFEEI), the Analytical Paralysis & Intuition Erosion Index (APIEI), the Strategic Blindness Index in its Chapter 22 form with a constant ε (SGI-22), and ACI-OME, together with four four-axis diagnostic profiles that the book declines to reduce to a single score: the Customer Dominance Diagnostic Profile (CDDP), the Purpose-Washing Diagnostic Profile (PWDP), the Algorithmic Blindness Test (ABT) and the Cognitive Displacement Diagnostic Profile (CDDIP). Three further instruments are presented separately, as author-approved proposals that operationalise concepts the book introduces in qualitative form: the Re-Linking Cost Exposure Index (RLCE), the Scaling Debt Exposure Index (SDEI) and the Financial Entrancement Index (FEI). The paper states common conventions, a worked example for each instrument, a measurement and gaming protocol and a validation programme. It does not report empirical results and does not claim that any instrument is valid. Prepared with the assistance of an AI language model (Claude, developed by Anthropic); the author is solely responsible for the content.