Educational Policy Research Services for Evidence-Based Reform

Bring clarity, rigor, and practical pathways to education reform with Research Bureau’s Education Sector Research services. We translate complex evidence into implementable policy recommendations, robust evaluations, and scalable reform strategies that drive measurable improvements in learning, equity, and system performance.

We help ministries, donor agencies, NGOs, and education stakeholders design, test, and scale reforms using rigorous data, practical policy design, and stakeholder-driven implementation planning. Share your project details for a tailored quote, use the contact form on this page, click the WhatsApp icon, or email us at [email protected].

Why evidence-based education reform matters now

Education systems face constrained budgets, widening equity gaps, and urgent learning recovery challenges. Evidence-based reform ensures limited resources achieve maximum educational impact. By combining rigorous research design with pragmatic policy analysis, governments and partners can:

  • Target interventions where they will produce the largest learning gains.
  • Identify and remove bottlenecks in teacher deployment, resource allocation, and service delivery.
  • Design scalable and sustainable models guided by cost-effectiveness and political feasibility.
  • Build monitoring systems that convert data into continuous improvement and adaptive management.

Research Bureau specializes in converting research into reform-ready policy instruments that withstand political scrutiny and practical constraints.

About Research Bureau — Expertise you can trust

Research Bureau is a multidisciplinary team of policy researchers, education economists, measurement specialists, statisticians, qualitative researchers, and data engineers with extensive experience in the education sector.

  • Senior team members hold PhDs or Masters in education policy, economics, public policy, statistics, and international development.
  • We have led evaluations and policy analyses for governments, bilateral and multilateral donors, foundations, and civil society.
  • We prioritize ethical research practices, data security, and clear communication to decision-makers.

We combine academic rigor with operational experience to produce actionable, timely outputs that inform policy choices and implementation.

Core services — What we deliver

We offer end-to-end Education Sector Research services tailored to reform agendas and stakeholder needs. Our core services include:

  • Policy diagnostics and system bottleneck analysis
  • Impact evaluations (experimental and quasi-experimental)
  • National and subnational learning assessments
  • Costing, cost-effectiveness, and fiscal space analysis
  • Policy design, modelling and simulation
  • Monitoring, evaluation, and learning (MEL) frameworks
  • Stakeholder engagement, political economy analysis, and capacity building
  • Data systems, dashboards, and open-data products
  • Policy briefs, implementation plans, and dissemination strategies

Below we provide a deep-dive into each service, methodologies, typical deliverables, and examples of when and how to use them.

Policy diagnostics & system bottleneck analysis

A targeted diagnostic identifies where resources and reforms will have the greatest effect. Our diagnostics blend quantitative analysis of administrative and survey data with qualitative fieldwork and stakeholder mapping.

What a diagnostic includes:

  • Rapid evidence review and desk review of laws, policies, budgets, and prior evaluations.
  • Administrative data analysis (enrollment, attendance, finances, teacher allocations).
  • Field-level qualitative work: key informant interviews (KIIs), focus group discussions (FGDs), and classroom observations.
  • Stakeholder mapping and organizational capacity assessment.
  • Clear recommendations with priority reforms and implementation sequencing.

When to use:

  • At the start of a reform agenda to prioritize interventions.
  • When scaling or redesigning existing programs.
  • Prior to designing pilots or large investments.

Typical outputs:

  • Diagnostic report with executive summary and one-page decision memo.
  • Bottleneck dashboard showing root causes and priority interventions.
  • Short policy brief for ministers and senior managers.

Example:
A national diagnostic found chronic teacher underutilization in rural districts and recommended a targeted deployment policy combined with professional development and travel allowances, supplemented by a pilot evaluation plan. This diagnostic reduced policy options from 18 to 4 prioritized, evidence-driven actions.

Impact evaluations: proving what works

We design rigorous impact evaluations to estimate causal effects of interventions on learning, equity, and system outcomes. Our team has experience with both randomized and non-randomized designs adapted to policy realities.

Design options we offer:

  • Randomized Controlled Trials (RCTs): gold standard where feasible.
  • Difference-in-Differences (DiD) and fixed effects analysis for phased rollouts.
  • Regression Discontinuity (RD) for eligibility-based policies.
  • Instrumental Variables (IV) approaches for naturally occurring variation.
  • Matching and propensity-score methods for retrospective evaluations.
  • Interrupted Time Series (ITS) for system-level reforms.

Key components of our evaluation service:

  • Theory of Change and impact pathways.
  • Sample design and power calculations.
  • Baseline, midline, and endline data collection and management.
  • Quantitative analysis, heterogeneity analysis, and subgroup effects.
  • Pre-analysis plans and registered protocols as required.

Deliverables:

  • Evaluation protocol and pre-analysis plan.
  • Baseline and endline survey instruments and data codebooks.
  • Cleaned datasets and reproducible code (R/Python/Stata).
  • Technical report, executive summary, and policy brief with recommendations.

When to choose which design:

  • RCT: when randomization is politically and ethically feasible and the intervention can be randomized.
  • RD: when assignment has a clear cutoff (e.g., score- or income-based eligibility).
  • DiD/ITS: for staggered or system-wide rollouts when baseline trends are available.
  • Matching/IV: when you must evaluate after implementation with observational data.

See the design comparison table for more detail.

Design Strengths Limitations Typical time & cost
RCT Causal attribution; clear counterfactual Requires randomization & buy-in; sometimes costly 12–36 months; medium–high cost
Regression Discontinuity Strong causal claims near cutoff Local effects; needs precise assignment rule 12–30 months; medium cost
Difference-in-Differences Good for phased rollouts; uses routine data Requires parallel trend assumption 9–24 months; low–medium cost
Instrumental Variables Useful with natural instruments Validity depends on instrument quality 12–30 months; medium cost
Matching / PSM Post-hoc evaluation possible Unobserved confounding risk 9–24 months; low–medium cost
Interrupted Time Series For system-level shocks Needs many time points; complex trends 9–18 months; low–medium cost

National and subnational learning assessments

Reliable learning measurement is foundational to reform. We design assessments aligned to curricula, international learning metrics, and national standards.

Our assessment services:

  • Development of item banks, adaptive assessments, and psychometric validation.
  • Sample design for national, regional, or program-level assessments.
  • CAPI/PAPI data collection, digital tools, and quality assurance protocols.
  • Scaling tools for low-resource contexts: oral and tablet-based assessments.
  • Analysis: learning distributions, learning losses, growth percentiles, and subgroup inequalities.

Deliverables:

  • Assessment framework and item bank.
  • Technical manual with scaling and equating procedures.
  • National/regional reports and policy-oriented briefs.
  • Data visualizations and interactive dashboards.

Example outputs:

  • Learning profiles by grade, subject, and socioeconomic groups.
  • Estimates of learning loss and recommended remediation strategies.
  • Benchmarks for teacher training and curriculum adjustment.

Costing, cost-effectiveness & fiscal analysis

Policy choices must be aligned with fiscal realities. We provide detailed costing and cost-effectiveness assessments to inform budgetary decisions and donor investments.

Services include:

  • Activity-based costing for pilots and national programs.
  • Cost-effectiveness analysis comparing alternatives (e.g., teacher coaching vs. digital tutoring).
  • Fiscal space analysis and sustainability modelling.
  • Unit cost estimation for per-student budgeting and school funding formula reform.

Deliverables:

  • Full costing model (Excel/Google Sheets) with sensitivity analysis.
  • Cost-per-learning-gain comparisons and budget scenarios.
  • Policy note summarizing affordability and financing pathways.

Example insight:
A cost-effectiveness analysis showed that low-cost remedial reading programs delivered higher learning gains per USD than district-wide teacher incentives, prompting reallocation of funds to targeted remediation.

Policy design, modelling & simulation

Turn evidence into implementable policy instruments. We support policy drafting and design with simulation and modelling to predict impacts and trade-offs.

Capabilities:

  • Microsimulation and system dynamics modelling for long-term projections.
  • Scenario analysis for alternative policy mixes and budget envelopes.
  • Design of equitable school funding formulas and resource allocation tools.
  • Simulation of teacher recruitment, promotion, and payroll reforms.

Deliverables:

  • Interactive models and policy simulation dashboards.
  • Policy design documents and draft regulatory language.
  • Implementation roadmaps with performance milestones.

Example:
A microsimulation predicted that reforming the teacher deployment rule would reduce rural teacher shortages by 30% over five years, with minimal fiscal impact when phased.

Monitoring, Evaluation & Learning (MEL) frameworks

Effective reforms require continuous monitoring and adaptive management. Our MEL services operationalize evidence loops for decision-makers.

Components:

  • Logical frameworks and theories of change with indicators and data sources.
  • Indicator definitions, baselines, targets, and data collection plans.
  • Dashboards and data pipelines for near real-time decision-making.
  • Learning agendas and adaptive management processes.

Deliverables:

  • MEL plan with data collection schedules and quality assurance.
  • Dashboard prototypes and automated indicators.
  • Annual learning reviews and mid-course correction recommendations.

Benefits:

  • Faster iteration and problem-solving during rollouts.
  • Clear accountability and performance tracking.
  • Evidence-driven adjustments to maximize impact.

Stakeholder engagement & political economy analysis

Policies succeed when they are politically and socially feasible. We map the political landscape and co-design reforms with stakeholders.

Our approach:

  • Stakeholder mapping and influence-interest analysis.
  • Political economy analysis to surface incentives, veto players, and reform risks.
  • Participatory co-design workshops and consensus-building exercises.
  • Communications strategy to build buy-in with media and civil society.

Deliverables:

  • Stakeholder matrix and risk mitigation plan.
  • Facilitation of policy workshops and roundtables.
  • Communication materials tailored to decision-makers and communities.

Example:
Political economy analysis identified teacher union concerns around accountability measures. We proposed phased accountability reforms paired with professional development and negotiated implementation milestones to reduce opposition and enable practical adoption.

Data systems, dashboards & open data

Good decisions require good data. We build robust data systems and visualization tools to support evidence use.

Services:

  • Administrative data audits and data quality protocols.
  • Data engineering and ETL pipelines to link school, finance, and assessment data.
  • Interactive dashboards for ministries, districts, and donors.
  • Open data release packages and metadata documentation.

Deliverables:

  • Data architecture and governance plan.
  • Live dashboards with drill-down analytics.
  • Open datasets with anonymization and ethical review.

Security & ethics:

  • We implement data protection practices (anonymization, encryption) and follow ethical review protocols to protect sensitive information.

Capacity building & knowledge transfer

Sustainable reform requires local capacity. We embed training and handover to ensure long-term impact.

Offerings:

  • Training for ministry analysts, M&E teams, and district officials.
  • Short courses in econometrics, survey design, and data visualization.
  • On-the-job mentoring during design, rollout, and analysis phases.
  • Training materials, manuals, and code repositories for reuse.

Outcomes:

  • Increased local ownership and analytical capability.
  • Reduced dependence on external consultants for routine analysis.
  • Institutionalized evidence use within policy cycles.

Dissemination, policy uptake & advocacy support

We craft communication and dissemination strategies to translate evidence into decisions.

Products:

  • Policy briefs and one-page decision memos for busy ministers.
  • Infographics, presentation decks, and media-ready summaries.
  • Stakeholder dissemination events and targeted briefings.
  • Support for parliamentary committees and donor briefings.

Impact:

  • Accelerated uptake of recommendations.
  • Clear, concise messaging tailored to different audiences.
  • Increased transparency and stakeholder confidence.

Example engagements — deep-dive case scenarios

Below are illustrative, anonymized examples showing how we combine services into full engagements.

Case 1: National Remedial Reading Scale-up

  • Objective: Recover learning losses in Grades 1–3 after prolonged school closures.
  • Approach: Diagnostic → RCT pilot of low-cost remedial program → scale-up simulation and costing → MEL framework.
  • Timeline: 30 months (diagnostic: 3 months; RCT baseline & implementation: 18 months; scale-up plan & MEL: 9 months).
  • Outcome: Pilot showed 0.35 SD improvement in reading; cost-effectiveness analysis supported national scale-up targeting lowest-performing districts.

Case 2: School Funding Formula Reform

  • Objective: Improve equity in per-student funding across regions.
  • Approach: Fiscal space analysis → modelling of formula options → stakeholder workshops with district leaders → phased implementation plan.
  • Timeline: 12 months.
  • Outcome: Recommended formula increased funding for the poorest 40% of schools while remaining fiscally neutral under a 3-year transition.

Case 3: Teacher Deployment Policy

  • Objective: Reduce rural teacher shortages and improve deployment efficiency.
  • Approach: Administrative data linkage → microsimulation of deployment rules → pilot RD evaluation of incentive scheme → policy design and communication strategy.
  • Timeline: 24 months.
  • Outcome: Deployment rule changes combined with targeted incentives reduced vacancy rates by 22% in pilot areas.

Choosing the right evaluation design — guidance

Selecting the optimal evaluation design depends on objectives, constraints, timelines, and ethical considerations. Use this practical guidance:

  • Prioritize RCTs when you need the strongest causal evidence and randomization is feasible.
  • Use RD for legally or administratively determined eligibility thresholds.
  • Opt for DiD when reforms roll out over time and strong baseline trend data exist.
  • Choose matching/PSM if you must evaluate retrospective interventions with adequate covariates.
  • Use ITS for system-wide shocks where frequent time-series data exist.

We help ministries weigh trade-offs between rigor, speed, cost, and political feasibility.

Technical capabilities & analytic toolbox

Our team uses advanced quantitative and qualitative tools to deliver robust evidence:

  • Statistical analysis: R, Stata, Python (pandas/statsmodels), causal inference libraries.
  • Machine learning for administrative data cleaning, predictive analytics, and targeting.
  • Psychometrics: IRT, Rasch modelling, equating, and scale construction.
  • GIS and spatial analysis for equity and access assessments.
  • Microsimulation and system dynamics for scenario planning.
  • Data engineering: SQL, ETL pipelines, APIs for dashboarding.
  • Qualitative analysis: NVivo, thematic coding, rigorous case study methods.

We provide reproducible analysis, full codebooks, and training to ensure transparency and reusability.

Ethics, data protection & quality assurance

We apply rigorous ethical standards and data protection protocols in every engagement:

  • Independent ethical review and informed consent procedures as required.
  • Anonymization and data minimization to protect participants’ privacy.
  • Secure storage and encryption of sensitive datasets.
  • Quality assurance at all stages: instrument pretesting, field supervision, and data audits.
  • Peer review and external validity checks for major studies.

These safeguards protect participants and strengthen the credibility of evidence for policy use.

Typical timelines & phased engagement model

Large reforms require staged investments. Below is a typical phased timeline for a major reform evaluation and policy support:

Phase 1 — Diagnostic & design (2–4 months)

  • Rapid evidence review, stakeholder mapping, and initial theory of change.

Phase 2 — Baseline & pilot (4–9 months)

  • Baseline data collection, pilot design, and implementation setup.

Phase 3 — Evaluation implementation (12–24 months)

  • Continuous data collection, midline checks, and fidelity monitoring.

Phase 4 — Analysis & scale-up planning (3–6 months)

  • Final analysis, cost-effectiveness, and scale-up simulation.

Phase 5 — Dissemination & capacity handover (2–4 months)

  • Policy briefs, workshops, dashboards, and technical training.

We adapt timelines to country contexts, budget constraints, and political windows.

Procurement models & pricing guidance

We tailor procurement to client preferences and procurement rules. Common engagement modes:

  • Fixed-price deliverable-based contracts for clearly defined outputs.
  • Time & materials (T&M) for exploratory or adaptive projects.
  • Hybrid models: fixed-price for diagnostic and design phases, T&M for iterative evaluation phases.

Indicative budget bands (illustrative only; request a quote for precise pricing):

  • Rapid diagnostics and policy memos: USD 20k–80k.
  • Targeted evaluations and small pilots: USD 80k–300k.
  • Large RCTs or national evaluations: USD 300k–2M+ depending on scale and data needs.
  • Data system development and dashboards: USD 50k–500k.

Share project details to get a tailored proposal and budget estimate.

Frequently asked questions

Q: How do you ensure independence and objectivity?

  • We maintain transparent protocols, register evaluation plans when possible, and separate implementation support from impact estimation. Peer review and open data strengthen reproducibility.

Q: Can you work within government procurement constraints?

  • Yes. We have experience with various donor and government procurement frameworks and can adapt contracting and deliverables accordingly.

Q: Do you provide local capacity-building alongside research?

  • Always. Our approach embeds training, knowledge transfer, and handover to build long-term local analytical capacity.

Q: What data sources do you use?

  • Administrative data, household surveys, classroom assessments, school censuses, digital learning platforms, geospatial data, and qualitative fieldwork.

Q: How do you measure equity?

  • We disaggregate outcomes by socioeconomic status, gender, disability, location, and language. We use distributional metrics and concentration indices to quantify gaps.

Contact Research Bureau — start with a conversation

Ready to design evidence-based reforms that work? Share your project details and goals, and we’ll provide a tailored proposal and cost estimate.

  • Use the contact form on this page and attach any TORs, background reports, or datasets.
  • Click the WhatsApp icon to chat with our proposals team for rapid questions.
  • Email us at [email protected] with a short project brief and preferred timelines.

What to include to get a fast, accurate quote:

  • Project objectives and expected deliverables.
  • Timeline and budget envelope (if known).
  • Geographic scope and target populations.
  • Available data sources and previous studies.
  • Key stakeholders and political constraints.

We respond promptly to requests and can provide scoping calls within 48 hours.

Final note — pragmatic rigor for real-world reform

Policy reform must be both evidence-informed and politically feasible. Research Bureau combines rigorous research methods with practical policy design, stakeholder engagement, and capacity building to ensure evidence translates into durable improvements in learning and equity.

Contact us today to discuss how we can support your education reform agenda. Share details for a tailored quote, use the contact form, click the WhatsApp icon, or email [email protected]. We look forward to partnering with you to make education systems more effective, equitable, and resilient.