Alignment, Coherence, and Effort (ACE): The Vector that Determines Results

by

Edward Addai

6 April 2026

Have you ever poured resources into a perfectly logical strategy, only to see progress crawl? Or witnessed a highly motivated team spin its wheels without moving the needle on child mortality or learning outcomes? You have likely focused on alignment and coherence but forgotten effort. Welcome to the ACE framework. It will change how you manage for results.

The ACE Framework

Drawing on complexity science (Ramalingam et al., 2008), institutional economics (North, 1990), behavioral economics (Kahneman, 2011), and the theory of dynamic capabilities (Teece, 2007), the ACE framework comprises three core variables:

Alignment is the structural congruence of formal elements: strategy, budget, authority, and accountability. Alignment ensures your strategy, budget, and accountability point in the same structural direction (Andrews, Pritchett & Woolcock, 2017). Without alignment, effort pulls in competing directions.

Coherence is the emergent property that prevents parts of the programme from generating destructive friction and formal rules and informal norms (trust, professional identity) reinforce rather than undermine each other (Pritchett, 2015). Even a well-aligned, coherent system can fail if the effort applied i.e., the energy, time, and attention of frontline workers and managers, is insufficient, misdirected, or unsustainable.

Effort is a finite human energy - cognitive, emotional, and physical - that frontline workers and managers apply. In complexity science, effort is not a simple input; it is a dynamic resource shaped by motivation, cognitive load, and institutional fatigue (Gigerenzer & Gaissmaier, 2011). Behavioral economics reminds us that effort is finite and subject to heuristics: workers will ration it when incentives are unclear or when they face “decision fatigue” (Kahneman, 2011). In the social sector, ignoring effort means designing systems that exhaust rather than enable the very people who must execute.

These three are not hierarchical. Neglect any one, and your programme vector collapses.

 

Programme Vector: Direction and Speed of Travel Against Effort

The concept of vector is borrowed from physics and adapted to management. Your programme vector is the direction and speed of travel relative to the effort applied. A powerful vector means you are moving quickly toward your intended outcome without wasting energy. A weak vector means you are stalled, moving sideways, or even regressing despite high effort.

Mathematically, vector = (alignment × coherence) × effort. If either alignment or coherence is zero, effort produces no forward movement, only heat and frustration. But equally, if effort is zero, no vector exists regardless of how elegant your design.

Learning from Health, Education, and Protection

Consider maternal health in Malawi. A performance-based financing scheme aligned budgets with facility delivery targets (strong alignment). It achieved coherence by integrating traditional birth attendants into referral networks, respecting local norms (strong coherence). But effort was ignored: nurses faced doubled paperwork, and attendants received no travel stipends. The vector stalled. Only when managers introduced small effort-reducing measures (simplified forms, transport vouchers) did outcomes improve (Manthalu et al., 2016). All three variables were finally treated equally.

In Kenya’s Tusome literacy programme, alignment was ensured through national curriculum and scripted lesson plans. Coherence emerged via instructional coaches who modelled teaching, aligning formal training with classroom reality. Crucially, effort was designed for: lesson plans simplified to reduce planning time from hours to minutes, preserving teacher cognitive bandwidth. The result was measurable learning gains (Piper et al., 2018). ACE, equally weighted, drives success.

In the South African child welfare alignment exists in legal frameworks and referral pathways. Coherence is partial as formal rules clash with under-resourcing. But the dominant failure is effort: social workers face caseloads exceeding 1:200, with administrative duplication consuming 60% of time. Without equal

What ACE Teaches Us About Managing for Results

Traditional results management prioritises alignment (logframes, budgets) and sometimes coherence (stakeholder coordination) but ignores the effort dynamics of the people who deliver them. This is a fatal error. Effort is not a residual; it is a lever as critical as the other two. ACE reveals that alignment and coherence are necessary but insufficient. You must also ask: Where is effort being drained? What cognitive or motivational barriers reduce the energy available for impact?

Acting on Alignment, Coherence, and Effort in Practice

As a social sector manager, you must build routines that act, monitor and adjust all three levers with equal rigour.

·       For alignment: Ensure that formal rules, budgets, reporting lines, performance targets, are congruent. But add a test: does this alignment reduce or increase frontline effort? Simplify where possible.

·       For coherence: Diagnose where formal incentives clash with informal norms (e.g., performance pay undermining collegiality). Coherence repairs friction, which is a hidden tax on effort. Use facilitated dialogue to renegotiate norms.

·       For effort: Measure it. Conduct rapid “effort audits” using short surveys or focus groups with frontline workers. Map the biggest drains: redundant paperwork, conflicting supervisor demands, lack of decision autonomy. Then redesign routines to protect and direct effort. Draw on behavioral insights such as small rewards, reduced choice overload, and clear heuristics can preserve cognitive bandwidth (Kahneman, 2011).

Finally, compute your vector qualitatively: Are we moving in the right direction at the right speed relative to the effort invested? If not, diagnose which of ACE is weakest and strengthen it without sacrificing the others. Your impact depends on balancing all three.

References

Andrews, M., Pritchett, L. and Woolcock, M., 2017. Building State Capability: Evidence, Analysis, Action. Oxford: Oxford University Press.

Gigerenzer, G. and Gaissmaier, W., 2011. ‘Heuristic decision making’, Annual Review of Psychology, 62, pp. 451-482.

Kahneman, D., 2011. Thinking, Fast and Slow. New York: Farrar, Straus and Giroux.

Makhado, R. and Khosa, P., 2019. ‘Challenges faced by social workers in child protection services in Limpopo Province, South Africa’, Social Work/Maatskaplike Werk, 55(4), pp. 456-470.

Manthalu, G., Yi, D., Farrar, S. and Nkhoma, D., 2016. ‘The effect of performance-based financing on maternal health in Malawi’, Health Policy and Planning, 31(8), pp. 1051-1060.

Piper, B., Zuilkowski, S.S., Dubeck, M., Jepkemei, E. and King, S.J., 2018. ‘Identifying the essential ingredients of literacy improvement: lessons from a large-scale instructional reform in Kenya’, Journal of Research on Educational Effectiveness, 11(3), pp. 344-366.

Pritchett, L., 2015. ‘Creating Education Systems Coherent for Learning Outcomes’, RISE Working Paper Series, 15/005. Oxford: Blavatnik School of Government.

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