Structural Parallels, Part 2: The A-B-A'

Part 2 of the Structural Parallels series. This essay suggests that many transformations can be read as moving through a three‑phase rhythm: establishment, disruption, and resolution. Across music, biology, negotiation, and crisis response, different adaptive systems often show a similar A–B–A' pattern. The point is not that all change fits this template, but that attending to it can help clarify why some changes take hold while others stall.

The A–B–A' Rhythm

Many memorable songs follow a familiar structure. The verse establishes the emotional baseline. The chorus disrupts it with new intensity. When the verse returns, it carries the weight of what the chorus revealed. You hear the same notes differently. The melody hasn’t changed. Your understanding has.

A–B–A' is a simple pattern in time: presence, change, and return. A is the starting state, B is a departure or disruption, and A' is a return that carries what the change revealed. Verse–chorus–verse. An initial experience, a shift, and then a new baseline. It is a cycle that shows up in musical phrasing, stories, program design, and client‑touchpoint journeys.

This three‑phase pattern can be read as a minimal structure for some adaptive changes. Two phases can blur signal and noise. Four or more phases can introduce friction and delay. Three phases often create enough rhythm: establish, disturb, re‑stabilize.

Variants of this three‑phase rhythm show up well beyond systems theory. Narrative structures like the hero’s journey often move from an initial world, through trials and disruption, to a transformed return (Scribophile Academy, 2023). Musical forms such as sonata form follow a related arc: exposition establishes themes, development subjects them to tension and variation, and recapitulation returns to stability with the material re‑heard in light of what the development revealed (Mount, 2021). Across these domains, disruption is treated not only as a break, but as part of how new structures in human experience and practice get built.

Structural Identity Across Domains

The pattern recurs across disciplines because it captures something about how systems perceive, process, and adapt to change.

Music composition
Verse (A) establishes melodic theme and emotional baseline. Chorus (B) introduces tension through contrast. Return to verse (A') resolves tension; the theme is now enriched by what the chorus revealed.

Immune response
Homeostasis (A) maintains stable internal conditions through monitoring. Detection (B) triggers inflammatory response and immune activation. Equilibrium (A') restores stability with enhanced recognition of the threat.

Negotiation dynamics
Opening positions (A) establish boundaries and non‑negotiables. Concessions (B) probe limits of acceptable compromise. Final agreement (A') reflects positions modified through testing.

Crisis response
Normal operations (A) rely on established protocols and resource allocation. A shock event (B) forces deviation beyond standard procedures. A new baseline (A') restores stability with crisis learning embedded.

These parallels are descriptive, not mechanical. They point to a recurring logic: distinguish deviation, amplify relevant signals, and then re‑establish coherence with new information embedded.

Structural Similarity Across Domains

The value in recognizing A–B–A' lies in structural similarity. When a biological immune response and an organizational crisis process both follow a three‑phase rhythm, the point is not that they are identical, but that a similar information‑processing pattern appears in very different contexts.

Ecosystems can undergo catastrophic stress and then recover toward stability without external intervention. Many resilience and resilience‑engineering frameworks describe recovery in phases that echo this establish–disrupt–re‑stabilize logic: disturbance, reorganization, and renewed equilibrium. Change‑management research has also long described related three‑step dynamics, such as unfreezing, changing, and refreezing organizational states (Lewin, as discussed in Organisational Change, 2014; Umbrex, 2026).

Organizations that recognize this kind of pattern can sometimes borrow implementations across domains. Aviation crisis protocols have informed healthcare error management, and military doctrines about after‑action review have informed product post‑mortems. Transfers like these tend to work when the underlying structure is genuinely similar. The pattern does not explain every failure, but it can help surface recurring ones.

Musical composition, negotiation strategy, and crisis response appear unrelated. One exists in acoustic space, another in strategic interaction, and the third in organizational process. What seems to connect them is structural: beneath surface differences, a pattern of establishment, disruption, and resolution appears in many adaptive systems.

Failure Modes

One practical use of A–B–A' is to read where an organization’s change process may be stalling.

Premature optimization: skipping change

Pattern: A (capability) → A (standardization)
Condition: A technology firm deploys AI tools but forces them into legacy workflows almost immediately.
Consequence: A 2025 survey of businesses investing heavily in AI found that roughly 95% reported little to no measurable ROI, with analysts arguing that organizations often locked new capabilities into existing processes before discovering where they truly created value (MIT NANDA Initiative, 2025).

Here, disruption is truncated. The system optimizes for yesterday’s problems. Some organizations respond by building in an experimentation period, letting teams explore new workflows before deciding what, if anything, to standardize.

Perpetual disruption: trapped in change

Pattern: B (continuous turnover) → B (perpetual rebuilding)
Condition: Organizations face persistent workforce instability, cycling through talent faster than knowledge can transfer.
Consequence: In a 2025 business‑leaders survey, 46% of respondents identified retention as a significant challenge, raising concerns that employees often leave before knowledge stabilizes, making institutional memory harder to retain (J.P. Morgan Commercial Banking, 2025).

Without a return to stability, transformation rarely consolidates; disruption becomes a standing condition rather than a phase. One common response is to document learning during disruption, create knowledge‑transfer routines, and introduce stability checkpoints even while change is ongoing.

False stability: refusing change

Pattern: A (status quo) → A (institutional rigidity)
Condition: Financial institutions maintain legacy systems despite mounting security and regulatory pressures.
Consequence: A 2025 analysis of financial‑sector software security found that 63% of firms carried critical vulnerabilities that had remained unaddressed for years, contributing to elevated technical‑debt risk (Veracode, 2025).

Here, the baseline is treated as permanent truth. Assumptions are rarely stress‑tested, and small cracks can widen into systemic failures. Some organizations deliberately schedule controlled disruptions—structured stress tests, red‑team exercises, and planned migrations—as a way to expose and address vulnerabilities before they become existential.

Implication

Organizations do not decide in the abstract whether to “follow” A–B–A'. They do, however, make choices—implicitly or explicitly—about whether to recognize when they are skipping, stalling in, or refusing one part of the cycle.

Leaders who are attuned to this rhythm can gain a diagnostic advantage. Transformation failures become easier to classify: skipped deviation, trapped disruption, refused stress‑testing. The difference between inertia, collapse, and adaptation is rarely just resources or talent; it is often whether the organization understands and works through the full rhythm of presence, change, and return.

References

Mark, J. J. (2016). Ancient Egyptian Government. World History Encyclopedia.

MIT NANDA Initiative. (2025). The GenAI Divide: State of AI in Business 2025.

J.P. Morgan Commercial Banking. (2025). U.S. 2025 Business Leaders Outlook Report.

Veracode. (2025). State of Software Security Report — Financial Services.

Mount, A. (2021). Sonata Form. In Fundamentals, Function, and Form (Chapter 38).

Scribophile Academy. (2023). Writing the Hero’s Journey: Steps, Examples & Archetypes.

Previous
Previous

Structural Parallels, Part 3: Present Bias

Next
Next

Structural Parallels, Part 1: Pattern Transfer