Delivery Capacity and Dynamic Capability: Why Delivering Today Depends on Changing for Tomorrow
by
Edward Addai
Why do meticulously planned programmes so often fail to
shift the needle on child mortality, learning poverty, or violence against
children? If you have ever watched a well-funded intervention stall, not for
lack of effort, but because the ground shifted beneath it, you have encountered
the hidden fault line in social sector management. The fault line separates
delivery capacity from dynamic capabilities. Both are essential for results,
yet they demand fundamentally different management postures. Understanding this
distinction, and knowing when to switch between them, may be the most
underrated skill a social sector manager can develop.
Your Programme Has Two Engines but You’re
Probably Only Revving One
Every social programme runs on two engines. The first
engine, delivery capacity - converts inputs into outputs: vaccinating children,
training teachers, registering births. It thrives on planning, standardization,
and accountability. The second engine, dynamic capabilities - enables
organizations and systems to sense shifting conditions, seize new
opportunities, and transform routines before they become obsolete (Teece,
Pisano and Shuen, 1997). It thrives on learning, adaptation, and collaboration.
Managing for results, properly understood, is not one
discipline but three. Managing for performance (input → output) mobilizes
delivery capacity. Managing for emergence (output → outcome) activates dynamic
capabilities, because outcomes such as "children learn" or
"communities protect girls" are co-produced in complex human systems,
not manufactured on a production line. Managing for collective impact (outcome
→ scale) requires both engines running in concert across multiple organizations
(Kania and Kramer, 2011). The persistent mistake is to approach all three with
the same management logic, usually the delivery logic, and then wonder why
results plateau.
The Trap Social Sector Managers Falls Into
The problem is structural. Donors demand measurable
outputs on fixed timelines. Governments require compliance with national
protocols. Communities need services that work now. All of this privileges
delivery capacity. Yet the most important results, a health system that
sustains immunization coverage after external funding ends; a school system
that keeps girls learning through a pandemic; a child protection system that
adapts when harmful practices mutate into new forms, depend on dynamic
capabilities. Managers are caught between the pressure to deliver and the
imperative to adapt, often with resources that barely cover one, let alone
both.
Delivering vs. Adapting: A Polarity, Not a
Problem to Solve
This is not a trade-off to be balanced; it is a polarity
to be managed. Drawing on complexity science, we know that social systems are
not merely complicated (many parts) but complex i.e. interdependent,
non-linear, emergent. In such systems, the link between output and outcome is
probabilistic, not deterministic. A trained teacher may improve learning, but
only if the curriculum is relevant, the child is not hungry, the parents are
supportive, and the school is safe. None of these conditions can be guaranteed
by a single programme; they emerge from interactions across the system.
This is where dynamic capabilities theory becomes
instructive. Teece (2007) identifies three dynamic capabilities - sensing,
seizing, and transforming - that are as relevant to a district health team in
Rwanda as they are to a technology firm in Silicon Valley. Sensing means
detecting changes in needs, opportunities, or threats. Seizing means mobilizing
resources to respond. Transforming means reconfiguring routines, partnerships,
and resource flows so that the new response becomes the new normal. These are
not merely operational improvements; they represent a fundamentally different
form of organizational capacity, one that determines whether programmes remain
relevant as conditions shift.
The Bicycle That Forgot How to Turn
Think of a social programme as a bicycle. Delivery
capacity is the chain, pedals, and wheels - the mechanism that converts effort
into forward motion. Dynamic capabilities are the rider's ability to read the
road, shift gears, and steer around obstacles. A bicycle with a perfect chain
but a rigid rider will crash at the first unexpected bend. A bicycle with a
visionary rider but a broken chain will go nowhere. Managing for results means
maintaining the chain while training the rider, and sometimes recognizing that
the bicycle needs to become a boat.
Where the Chain Meets the Rider: Lessons from
Africa’s Frontlines
Consider three examples where the interplay between
delivery capacity and dynamic capabilities determined results.
In Rwanda's Bugesera district, antenatal care coverage
stood at 35%, well below the national target. A conventional approach would
have mandated more outreach, more training, more reporting. Instead, district
health management teams received catalytic grants, data analytics tools, and
the authority to design their own improvement cycles. Teams used routine data
to sense root causes: under-resourced community health workers, missing
equipment - seized the opportunity by flexibly deploying funds, and transformed
their own practices. Coverage rose not because external experts imposed
solutions but because local teams exercised dynamic capabilities alongside
their existing delivery capacity (World Bank, 2026).
In Madagascar, the Data Must Speak (DMS) initiative has
generated evidence on positive deviant schools, those that outperform peers
despite similar resource constraints (UNICEF Innocenti, 2024) . The research
identified specific behaviors that distinguish these schools: head teachers
conduct frequent classroom visits, maintain transparent financial management,
document student absences systematically, and engage parents through active
communication channels. Struggling students receive targeted support including
revision sessions, and education advisers visit more regularly with
higher-quality instructional guidance. The insight is clear, delivery capacity
alone (more teacher postings, more textbooks) will not shift learning outcomes
unless dynamic capabilities are activated at the point where teaching and
learning actually happen.
In Guinea's Donghel Sigon community, female genital
mutilation and child marriage were widespread despite national laws prohibiting
them. Between 2023 and 2024, the municipality invested nearly USD 5,000 of its
own resources, a striking example of local ownership, into concrete protection
measures (UNICEF, 2025). Religious and traditional leaders formally committed
to ceasing marriages involving minors, requiring all unions to be validated by
the town hall to ensure legal age compliance. A multisectoral response
integrated education, health, and WASH services, while girls' leadership clubs
provided mentoring and life skills training. By August 2024, Donghel Sigon
hosted an inter-municipal meeting to share practices with neighboring
communities, creating regional momentum. This illustrates managing for
collective impact, where dynamic capabilities (norm transformation) and
delivery capacity (registration systems, health services) reinforce each other
across institutional boundaries.
What Happens When Dynamic Capabilities Are
Missing
Imagine each example without dynamic capabilities.
Rwanda's districts would have received top-down ANC targets, reported
compliance, and seen coverage stagnate because local barriers remained
unaddressed. Madagascar's schools would have continued transmitting data upward
while classroom practice remained unchanged. Guinea's Donghel Sigon would have
hosted another awareness campaign that faded as soon as the funding ended.
Delivery capacity alone produces outputs; it cannot produce outcomes in complex
systems because outcomes require behavioral and institutional adaptation, what
Sen (1999) would recognize as the expansion of substantive freedoms and
capabilities, that no single organization can command.
Four Shifts That Bridge the
Delivery-Adaptation Divide
What does this mean for the manager who must submit a
logframe on Monday morning? Four shifts in practice, grounded in the UNICEF
(2017) results-based management framework:
1. Budget
for both engines. Allocate a minimum proportion of programme
resources, even 10%, to structured learning, flexible innovation funds, and
cross-sector coordination. This is not overhead; it is the fuel for dynamic
capabilities.
2. Measure
what enables change. Track indicators of adaptive capacity: the
frequency of data review meetings that lead to action; the speed with which
lessons from one district inform practice in another; the diversity of partners
contributing to a shared outcome.
3. Protect
"emergent space" in planning. Resist the pressure to
specify every activity in advance. Define the outcome clearly, hypothesize the
pathway, but leave room for local teams to discover what works. In complex
systems, the path to the outcome is discovered, not designed.
4. Lead
for polarity, not problem-solving. A problem has a solution;
a polarity has two interdependent poles that must be managed continuously. The
tension between delivery capacity and dynamic capabilities is a polarity. The
leader's role is not to choose one but to ensure neither pole dominates for too
long.
Four Questions That Diagnose Your Engine
Balance
· In
your current programme, what proportion of management attention goes to
delivery capacity versus dynamic capabilities? Is that proportion fit for
purpose given the complexity of the outcome you seek?
· When
was the last time a lesson from implementation led to a genuine change in
strategy, not just a tweak to activities?
· Who
in your team or partnership is explicitly responsible for sensing shifts in the
external environment, and how does their intelligence reach decision-makers?
· If
your programme's funding ended tomorrow, what capabilities, beyond the outputs
delivered, would remain in the system?
Dual Engines, One Destination: The Future of
Managing for Results
The most effective social sector organizations are not
those with the most sophisticated delivery systems but those that have learned
to run two engines simultaneously. They deliver immunizations and strengthen
the health system's capacity to respond to the next outbreak. They train
teachers and build the adaptive capability of schools to sustain learning
through shocks. They protect children today and transform the norms that place
children at risk tomorrow. Managing for results, in its fullest sense, is the
discipline of knowing which engine to rev and when, and having the courage to
invest in dynamic capabilities even when delivery capacity demands every ounce
of your attention.
References
Kania,
J. and Kramer, M. (2011) 'Collective Impact', Stanford Social Innovation
Review, 9(1), pp. 36–41.
Sen,
A. (1999) Development as Freedom. Oxford: Oxford University Press.
Teece,
D.J. (2007) 'Explicating dynamic capabilities: the nature and microfoundations
of (sustainable) enterprise performance', Strategic Management Journal, 28(13),
pp. 1319–1350.
Teece,
D.J., Pisano, G. and Shuen, A. (1997) 'Dynamic capabilities and strategic
management', Strategic Management Journal, 18(7), pp. 509–533.
UNICEF
(2017) Results-Based Management Handbook. New York: UNICEF.
UNICEF
(2025) 'Donghel Sigon: A breath of fresh air transforming childhood in Guinea',
18 June. Available at:
https://www.unicef.org/guinea/en/stories/donghel-sigon-breath-fresh-air-transforming-childhood-guinea
(Accessed: 27 May 2026).
UNICEF
Innocenti (2024) Data Must Speak: Schools that inspire change – Research on
positive deviant schools in Madagascar. Available at:
https://www.unicef.org/innocenti/media/9246/file/UNICEF-Innocenti-DMS-stage3-Madagascar-Summary-EN-2024.pdf
(Accessed: 27 May 2026).
World
Bank (2026) 'Niger's service delivery shift: reduced stockouts, faster
financing, and improved staffing'. Available at:
https://www.worldbank.org/en/news/feature/2026/05/26/niger-service-delivery-shift
(Accessed: 27 May 2026).

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