Selected engagement · Public-system transformation

Architecting the evidence-to-scale system for foundational learning.

GC designed an end-to-end education-improvement architecture connecting system diagnosis, teacher coaching, differentiated learning, controlled experimentation, programme delivery, performance intelligence, capability transfer and scale.

Global development finance institution · National education system · West AfricaEvidence to scale · Capability architecture
Explore the system
National learning signal
Scaling Education10,500schools
01 Diagnose02 Test03 Scale
Representative evidence Control Treatment
0110,500Scaling Education
02371School representative diagnostic design
0372School controlled-pilot architecture
047Connected phases
057Integrated delivery streams
01The strategic challenge

The programme existed. The question was whether the system could produce consistent learning.

National reform and teacher-development mechanisms were already in motion. Yet implementation quality, coaching consistency, diagnostic infrastructure and local conditions varied across the system.

GC recognised that an assessment alone would not resolve the problem. The work had to connect diagnosis to intervention design, controlled testing, field execution, capability transfer and an evidence-led pathway to scale.

The strategic reframeThe brief asked whether the existing system was adequate. GC designed the architecture to discover why, test what works, operationalise the answer and scale it without losing integrity.

02 / The evidence foundation

Diagnose the system deeply enough to change it intelligently.

The diagnostic architecture combined national-system evidence, representative field intelligence and controlled-comparison logic so that decisions could be grounded in more than observation or opinion.

01

Evidence and standards review

A structured review of programme evidence, standards, policy, implementation material and the wider foundational-learning context.

02

Representative field intelligence

A statistically representative school-based diagnostic design supported by focus groups, key-informant interviews and contextual evidence.

03

Triangulation and gap analysis

Quantitative and qualitative evidence brought together to isolate implementation gaps, coaching constraints and priority system levers.

04

Controlled comparison

A treatment-and-control architecture designed to distinguish intervention effects from context, variation and confounding conditions.

The scientific discipline

Evidence designed to withstand the scale decision.

Statistical confidence, power, treatment logic and randomisation were designed into the architecture before deployment—not added after the result.

0195%Diagnostic confidence level
025%Margin of error
0380%Statistical power
0436 + 36Treatment and control schools

03 / The evidence-to-scale journey

Three stages. Seven phases. One connected learning system.

Every phase produced the evidence, operating readiness and capability required by the next—protecting scientific integrity while preparing the system to act.

Stage 01DiagnosticDiscover · Define
Stage 02Controlled testingDesign · Develop · Deploy
Stage 03Strengthen and scaleDiscovery for scale · Train the Trainer
01Diagnostic

Discovery

Establish the national system context, evidence base, programme reality and school-level implementation conditions.

02Diagnostic

Define

Translate the evidence into prioritised gaps, hypotheses, requirements and the intervention logic to be tested.

03Controlled testing

Design

Architect the coaching, differentiated-learning, delivery, measurement and comparison system as one integrated model.

04Controlled testing

Develop

Build the enabling tools, content, protocols, field systems, governance and programme assets required for disciplined execution.

05Controlled testing

Deploy

Define the controlled-pilot journey, readiness gates, field coordination, performance visibility and adaptive-learning loops.

06Strengthen and scale

Discovery for scale

Assess scalability, system readiness, investment requirements, sustainability and the evidence required for a responsible scale decision.

07Strengthen and scale

Train the Trainer

Transfer capability through Master Trainers, experiential learning, mentorship, effectiveness evaluation and deliberate cascading.

04 / The intervention architecture

Four dimensions designed to move as one system.

Coaching, differentiated learning, programme execution and scientific evidence were not separate workstreams. Each was designed to strengthen and inform the others.

Connected systemFoundational learningEvidence → Execution → Scale
01

Teacher-coaching acceleration

A progressive coaching architecture moving from alignment and foundational acceleration into practice, feedback and execution support.

02

Differentiated-learning infrastructure

The tools, content, learner-response logic and classroom support required to make differentiated learning practical and repeatable.

03

Programme delivery enablement

Governance, field coordination, readiness, change, logistics, quality assurance and real-time programme control.

04

Experimentation and evidence

Scientific protocols, comparison logic, performance intelligence and feedback loops designed to reveal what works, where and why.

05 / Capability into execution

Build capability where the learning experience happens.

The acceleration journey connected understanding, practice, ecosystem problem solving and live execution support—moving beyond once-off training.

01

Align and activate

Create a common understanding of the learning ambition, system roles, evidence and the behaviours required to move it.

02

Embed and entrench

Accelerate the foundational knowledge, coaching practice and implementation disciplines required at the point of delivery.

03

Ecosystem Acceleration Labs

Bring cross-system actors together around real constraints, shared learning, rapid problem solving and locally grounded solutions.

04

Execution sprints

Use short performance cycles, observation, feedback and real-time coaching to move capability into consistent execution.

06 / Controlled experimentation

Test the intervention—not the strength of the narrative.

The pilot architecture was designed to produce credible, comparable evidence while managing contextual variation and protecting the line of sight from intervention to result.

01Explicit hypotheses and comparison protocols02Treatment and control-group architecture03Statistical significance thresholds04Stratified randomisation05Confounding-variable controls06Real-time feedback and adaptive learning07External-validity and scalability assessment08Data-quality and reporting controls

07 / The integrated delivery system

Seven streams. One operating spine.

Programme governance held the architecture together while six connected streams translated evidence and design into a controllable field-delivery system.

Operating spineProgramme governance

SteerCo · StratCo · PMO · readiness gates · quality assurance · risk · decision rights

01

Capability acceleration

Teacher, coach, leader and internal-trainer capability designed as a connected transfer system.

02

Differentiated-learning infrastructure

Practical learning tools, content, learner-response logic and supporting classroom assets.

03

Programme management

Integrated planning, dependencies, field mobilisation, logistics, risk, quality and delivery control.

04

Change management

Stakeholder alignment, communication, readiness, adoption and reinforcement across the national system.

05

Value tracking

Performance logic connecting activity, adoption, delivery quality, learning evidence and scale decisions.

06

Data collection and reporting

Field evidence, programme dashboards, proof of execution, feedback loops and decision-ready reporting.

Field enablement designed into the system

Programme dashboards, field-team coordination, route and logistics optimisation, proof of execution, feedback loops, data quality, compliance and decision-ready reporting.

08 / The scale decision

Scale was a question to earn— not an assumption to make.

The architecture defined five readiness gates through which evidence, system capacity and sustainability could be examined before committing to expansion.

01

Impact

Is there credible evidence that the intervention logic is working?

02

System readiness

Can the wider operating environment carry the model with integrity?

03

Capability

Are the people, roles and transfer mechanisms ready to sustain it?

04

Investment

What resources, infrastructure and delivery capacity does scale require?

05

Sustainability

How will quality, governance, evidence and improvement endure over time?

09 / Capability transfer

Build the system's ability to carry itself.

The train-the-trainer architecture was designed to move knowledge, practice and quality assurance into the national system—reducing long-term dependence on external delivery.

01Select Master Trainers against clear capability criteria02Build comprehensive, role-relevant training modules03Use intensive experiential workshops and practice04Provide continuous mentorship and delivery support05Evaluate training effectiveness and transfer quality06Cascade and institutionalise capability through the system

10 / The completed intellectual work

A national learning-improvement system— architected end to end.

GC's completed work connected system diagnosis, intervention design, scientific testing, programme execution, capability transfer, performance intelligence and responsible scale.

01

National foundational-learning system diagnostic architecture

02

Representative school-sampling and field-research design

03

Qualitative and quantitative evidence framework

04

Gap-analysis and intervention-prioritisation logic

05

Teacher-coaching acceleration architecture

06

Differentiated-learning infrastructure design

07

Controlled-pilot and comparison methodology

08

Treatment, control and randomisation protocols

09

Seven-phase evidence-to-scale journey

10

Seven-stream integrated delivery architecture

11

Programme governance and PMO operating system

12

Field coordination and execution-readiness design

13

Change, communication and stakeholder architecture

14

Real-time programme-intelligence and reporting system

15

Impact, value and scalability assessment framework

16

Scale-readiness and investment-requirement logic

17

Master Trainer and capability-cascade architecture

18

Sustainability and institutionalisation pathway

11 / What GC changed in the thinking

The answer was not an intervention. It was an evidence-to-scale system.

01

A deep-dive programme assessment

An end-to-end evidence-to-scale system
02

Diagnostic findings

Controlled, evidence-based decision-making
03

Teacher training

Integrated capability, tools, behaviour and execution
04

A pilot intervention

A scale pathway architected from the outset
05

External programme delivery

Capability transfer through Master Trainers
06

Programme reporting

Real-time performance and value intelligence

The evidence boundary

Claim the architecture. Respect the line.

This case demonstrates the complete national education-improvement architecture designed by GC for a system horizon spanning 10,500 schools, including representative diagnostic and controlled-pilot designs.

No improved literacy or numeracy outcomes, or national scale-up are claimed.

12 / The GC difference

Follow the evidence. Architect the system. Protect the path to scale.

GC connected scientific discipline to practical delivery—and designed the complete pathway through which evidence could become capability, execution and a responsible national-scale decision.

When public-system ambition must become evidence-led execution

Build the architecture that allows promising ideas to scale with integrity.

If your education, development or public-system mandate must connect diagnosis, experimentation, delivery capability and sustainable scale, GC can help architect the complete system.

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