Public Policy Research Services for Evidence-Based Government Decision-Making

Make government decisions defensible, efficient, and impactful with rigorous, independent public policy research from Research Bureau. We partner with government ministries, agencies, municipal councils, and public sector bodies to translate data and evidence into actionable policy, measurable outcomes, and sustainable public value.

Our multidisciplinary team of senior policy analysts, quantitative and qualitative researchers, economists, and sector specialists deliver end‑to‑end research services designed to reduce policy uncertainty, improve implementation, and optimize resource allocation. Contact us with project details for a tailored quote—use the contact form on this page, click the WhatsApp icon, or email info@researchbureau.co.za.

Why evidence-based policy matters now

Policy decisions without rigorous evidence risk wasting public funds, aggravating inequities, and producing unintended consequences. Governments face rapidly changing social, economic, and environmental contexts where timely, credible evidence is essential to:

Reduce uncertainty and inform resource prioritization.
Demonstrate accountability to citizens and stakeholders.
Improve program effectiveness and scale proven interventions.
Meet statutory and reporting obligations with robust monitoring.

We help public sector decision-makers move from anecdote to evidence, turning complex data into clear recommendations and measurable policy outcomes.

Core service offerings

Research Bureau provides comprehensive research services across the policy lifecycle. Each service is delivered with transparent methods, reproducible analysis, and stakeholder-oriented communication.

Policy diagnostics and needs assessments
Rapid evidence reviews and systematic literature reviews
Program design, pilot testing and theory of change development
Impact evaluations (experimental and quasi‑experimental)
Monitoring, evaluation and learning (MEL) systems
Cost‑benefit and cost‑effectiveness analysis
Implementation research and process evaluation
Administrative data analysis and data linkage
Geospatial analysis and mapping for targeted interventions
Stakeholder engagement, participatory research and qualitative inquiry
Policy briefs, technical reports, dashboards and public communication
Capacity building and technical assistance for government teams

Our approach: rigorous, transparent, policy‑ready

We design research that is methodologically appropriate, politically feasible, and oriented toward clear policy choices. Our approach follows four integrated pillars:

Problem framing and stakeholder alignment. We co‑define the research question, policy goals, and decision criteria with technical teams and political actors to ensure relevance and uptake.
Methodological rigour and fit for purpose. We select methods—experimental, quasi‑experimental or qualitative—based on feasibility, ethical considerations, and causal identification needs.
Data integrity and reproducibility. We implement best practice data management: pre‑analysis plans, version control, anonymization, and reproducible code.
Actionable outputs and capacity transfer. Results are translated into policy briefs, decision matrices and implementation guidance. We also build client capacity to use findings.

Methodologies we use (expert detail)

We apply a range of research designs and analytical techniques that are widely accepted in the public policy field. Selection is tailored to the policy question, available data, budget, and ethical constraints.

Experimental designs (Randomized Controlled Trials)

Randomized Controlled Trials (RCTs) provide the strongest causal evidence for policy impacts. We design and manage field experiments for interventions where random assignment is feasible and ethical.

Stratified and clustered randomization to account for group-level heterogeneity.
Power calculations and minimum detectable effect design to ensure efficient sample sizes.
Pre-registration and analysis plans to avoid data dredging.

Use cases: new delivery mechanisms, behavioral nudges, training program effectiveness.

Quasi‑experimental methods

When randomization is not feasible, we implement robust quasi‑experimental designs that approximate causal inference:

Difference‑in‑Differences (DiD)
Regression Discontinuity Design (RDD)
Interrupted Time Series (ITS)
Propensity Score Matching (PSM) and synthetic control methods

These methods are paired with extensive robustness checks and sensitivity analyses to assess threats to validity.

Econometric and statistical modelling

We run advanced econometric analyses using state‑of‑the‑art techniques:

Panel data models and fixed effects to control for unobserved heterogeneity.
Instrumental variables for endogeneity.
Heterogeneous treatment effect estimation to uncover subgroup impacts.
Machine learning for predictive targeting and risk stratification while maintaining interpretability for policy use.

Qualitative and participatory methods

Contextual understanding is critical. We conduct high‑quality qualitative research to complement quantitative findings:

Key informant interviews and focus group discussions.
Process tracing and realist evaluation to understand mechanisms.
Participatory action research for co‑produced solutions and community buy‑in.

Mixed methods and triangulation

We integrate quantitative and qualitative evidence to ensure conclusions are robust and practical. Mixed methods strengthen external validity and help explain “how” and “why” interventions work.

Data sources and technical capabilities

We handle diverse datasets and advanced analytical tools, ensuring secure, ethical, and scalable research.

Administrative datasets: education, health, social grants, municipal service delivery.
Survey data: household, beneficiary, and public attitude surveys.
Geospatial and satellite imagery for infrastructure, land use and service coverage analysis.
Mobile phone and transactional data for mobility and economic behaviour studies.
Open data and third‑party datasets, carefully assessed for quality and bias.

Technical environment and tools:

Statistical software: R, Stata, Python
GIS: QGIS, ArcGIS
Qualitative analysis: NVivo, ATLAS.ti
Reproducibility: Git, RMarkdown, Jupyter notebooks
Dashboards and visualization: Power BI, Tableau, D3.js

Deliverables we provide

We package evidence in formats that decision-makers can use immediately. Typical deliverables include:

Executive summaries and concise policy briefs for ministers and senior officials.
Full technical reports with methods, robustness checks, and appendices.
Interactive dashboards for monitoring live implementation.
Codebooks, annotated scripts and reproducible analysis repositories.
Policy recommendations with implementation roadmaps and timelines.
Stakeholder engagement plans and training materials.

All deliverables include an impact assessment matrix that links evidence to specific policy options, costs, and expected outcomes.

Example engagements (anonymized case studies)

The following anonymized examples illustrate the types of outcomes we deliver and the methods used.

Case study A — Municipal service optimization (Quasi‑experimental)
We partnered with a metropolitan water authority to reduce non‑revenue water. Using a difference‑in‑differences design with matched comparison areas, we quantified a 15% reduction in water losses after targeted engineering works and community engagement. The findings guided a phased roll‑out and a cost‑benefit analysis showing a 3‑year payback for the intervention.

Case study B — Improving youth employment outcomes (Randomized trial)
A national department piloted an employment support package across provinces. We implemented a clustered RCT, tracked employment outcomes over 18 months, and found a 10 percentage point increase in sustained employment among participants. Policy uptake included national scale planning and budget reallocation toward the program.

Case study C — Education policy diagnostic (Mixed methods)
We conducted a diagnostic of learning outcomes using administrative exam data, classroom observations, and teacher interviews. The mixed‑methods approach identified both systemic resource gaps and effective teacher practices, resulting in a five‑point policy action plan that prioritized low‑cost, high‑impact interventions.

Measuring impact: KPIs and evaluation metrics

We work with clients to define clear indicators and monitoring strategies aligned with policy objectives. Common KPIs include:

Outcome indicators (e.g., learning gains, employment rates, service coverage)
Process indicators (e.g., implementation fidelity, beneficiary reach)
Efficiency metrics (cost per outcome, administrative cost savings)
Equity measures (disaggregated outcomes by gender, income, geography)
Sustainability metrics (institutional adoption, funding continuity)

Our MEL frameworks include baseline measurement, periodic monitoring, and final evaluation with counterfactual analysis where feasible.

Ethical standards, data protection and compliance

Public trust and legal compliance are central to our practice. Research Bureau adheres to rigorous ethical and data protection standards.

Informed consent and participant safeguarding protocols for all primary data collection.
Anonymization, de‑identification and secure data storage to POPIA standards and international best practice.
Institutional review and external ethical review boards when required.
Transparent conflict‑of‑interest declarations and independence in analysis.

We will work within your legal and institutional frameworks, and advise on consent forms, data sharing agreements, and memoranda of understanding.

Quality assurance and reproducibility

We employ robust QA processes to ensure accuracy and credibility:

Pre‑analysis plans for experimental and quasi‑experimental studies.
Double data entry and validation checks for surveys.
Code review, version control and archiving of scripts and datasets.
Independent peer review of technical reports on request.

These practices improve trust in findings and facilitate audits, replication, and long‑term learning.

Communication and uptake strategy

Evidence is only valuable if it is used. We design communication and uptake strategies tailored to stakeholder audiences.

Executive briefings and policy workshops for senior officials.
Stakeholder consultations including civil society and beneficiary representatives.
Media‑ready briefs, infographics and short videos to explain findings.
Training sessions for government analysts to operationalize recommendations.

We also support policymaking processes by producing decision matrices, implementation timelines, and procurement‑ready specifications.

Pricing, engagement models and expected timelines

We offer flexible engagement models to match urgency, scope and budget. Below is a comparison of typical service packages to help you choose an entry point. Contact us with project specifics for a precise quote.

Service package	Typical scope	Typical turnaround	Indicative cost range (ZAR)	Key deliverables
Rapid Evidence Review	Literature synthesis, 2–3 policy options	2–4 weeks	80,000 – 150,000	10–15 page brief, slide deck
Diagnostic & MEL Design	Needs assessment, indicator design	4–8 weeks	150,000 – 300,000	Diagnostic report, MEL framework
Pilot & Implementation Research	Pilot design + process evaluation	3–9 months	300,000 – 800,000	Interim reports, final evaluation
Full Impact Evaluation	RCT or quasi-experimental evaluation	9–24 months	600,000 – 2,500,000+	Technical report, data & code
Capacity Building & TA	Training, mentoring, institutional strengthening	1–6 months	120,000 – 600,000	Workshops, manuals, follow-up support

These ranges are indicative and depend on sample size, geographic coverage, data access complexity, and required specialist input. Share project details for a tailored proposal.

Typical project lifecycle and milestones

We recommend a staged approach to manage risk and deliver value early:

Phase 1 — Scoping and inception: finalize question, stakeholders, and timeline.
Phase 2 — Design and approvals: methodology, sample design, ethical approvals.
Phase 3 — Data collection and monitoring: pilot test instruments, fieldwork, quality control.
Phase 4 — Analysis and synthesis: pre-specified analysis and triangulation.
Phase 5 — Reporting and dissemination: policy briefings and workshops.
Phase 6 — Follow-up: implementation support and scale-up evaluation.

Each phase concludes with clear deliverables and decision gates for sponsors.

Risk management and mitigation

Policy research carries operational and reputational risks. We proactively identify and mitigate these risks:

Data access delays: contingency timelines and alternative data sources.
Political sensitivity: neutral framing and stakeholder mapping to protect integrity.
Fieldwork disruption: flexible field protocols and remote data collection options.
Budget overruns: phased contracts and milestone-based payments.

Our experienced project managers ensure timelines, compliance and communication are actively managed.

Building capacity within government

Sustainable policy improvement requires institutional capacity. We provide hands‑on capacity building to embed research into government processes:

On‑the‑job mentoring of analysts and M&E teams.
Tailored workshops on causal inference, data visualization, and survey methods.
Development of internal research standards and data governance protocols.
Support to establish evidence units and research frameworks.

Capacity building can be integrated into evaluation contracts or delivered as stand-alone engagements.

Common questions (FAQs)

What information do you need for a quote?

Provide the policy question, geographic scope, desired timelines, available data, and an indicative budget. We will request further technical details as needed.

How do you ensure independence and neutrality?

We employ transparent methods, pre‑analysis plans, conflict‑of‑interest declarations, and can arrange independent peer review of technical outputs.

Can you work with government administrative data?

Yes. We routinely work with administrative datasets, support data cleaning and linkage, and negotiate data sharing agreements with custodians.

Do you handle procurement and tendering requirements?

We can prepare procurement-ready terms of reference and assist with tender processes, or work under existing contracting arrangements.

Are deliverables compatible with public dissemination?

Yes. We provide versions suitable for public release and versions with restricted technical appendices if sensitive data are involved.

Why choose Research Bureau

Research Bureau combines deep technical expertise with practical public sector experience. Our distinguishing strengths include:

Senior team with decades of combined experience in government, academia and international development.
Proven track record of translating rigorous evidence into policy outcomes.
Commitment to ethical, transparent, and reproducible research.
Client-driven approach with emphasis on usability and uptake.

We prioritize partnerships that build long-term capacity and deliver measurable improvements in public service delivery.

How to get started (next steps)

Share a one‑page brief or an email describing your policy question, timeline and budget.
We will arrange a no‑obligation scoping call to discuss feasibility and options.
Following the call, we provide a tailored proposal, budget and timeline.

To begin, use the contact form on this page, click the WhatsApp icon to message us directly, or email info@researchbureau.co.za. Provide any documents you have (TORs, datasets, strategy papers) to accelerate the scoping process.

Final note on impact and accountability

Public policy research done right produces not only better decisions but stronger institutions and public trust. By rigorously assessing what works, for whom, and at what cost, Research Bureau helps government leaders deliver more equitable, efficient and evidence-based services to citizens.

We welcome your enquiry. Share project details for a tailored quote and let’s design research that informs decisive, accountable governance.