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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