Our practices

Each practice is a complete capability with its own specialists and its own standards. They are held in one firm because institutional problems rarely respect the boundaries between them.

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Procurement & SourcingStrategic sourcing, outsourced tendering, supplier due diligence and procurement reform.Supply Chain ManagementNetwork design, quantification, pipeline visibility and last-mile delivery in hard places.Logistics, Freight & MaritimeFreight forwarding, chartering, project cargo engineering, customs and port agency.Research, Evidence & EvaluationMEAL systems, surveys, independent evaluation and third-party monitoring.Strategy, Governance & Institutional AdvisoryOrganisational strategy, public financial management, governance reform and compliance.Financial & Transaction AdvisoryFeasibility, modelling, value for money, due diligence and fund management.Environment, Safety & ComplianceImpact assessment, climate and carbon, HSE and ISO systems, safeguarding and data protection.ICT & DigitalEnterprise architecture, ERP and procurement platforms, data collection and analytics.Human CapitalExecutive search, organisational design, training and professional certification.Legal & RegulatoryContracting, corporate structuring, regulatory advisory and dispute support.
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Home/Expertise/Research, Evidence & Evaluation

Research, Evidence & Evaluation

Independent evidence, generated where the programme actually operates.

Overview

Independent evidence, generated where the programme actually operates.

Evidence is only useful if someone outside the programme would reach the same conclusion from the same data. That is a design question, settled long before the first interview takes place: sampling, indicator definition, enumerator control, data flow.

We design MEAL systems, run the surveys and conduct the evaluations, including in places a funder cannot visit. Third-party monitoring and independent verification sit as a separate line of work with separate staff, precisely because the value of that work is its independence.

01

Powered samples, documented methods

A sample that cannot support the claim is worse than no sample at all. Sampling frames, weighting and confidence intervals are stated rather than implied.

02

Verify the data, not just the report

Data quality assessments and verification audits test what a system produced against what actually happened in the field.

03

Learning in time to matter

Real-time learning and adaptive management put findings in front of decision-makers while the programme can still change course.

Services

What we deliver in this practice

Each line can be commissioned on its own or combined into a single scope of work.

  • 01
    MEAL system designResults frameworks, indicator sets and data flow architecture.
  • 02
    Baseline, midline and endline surveysMixed methods with statistically powered sampling.
  • 03
    Independent evaluationOECD-DAC criteria, impact and performance evaluations.
  • 04
    Third-party monitoring and independent verificationFor funders operating in remote-managed contexts.
  • 05
    Data quality assessments and verification auditsTesting reported data against source records and field reality.
  • 06
    Market systems and value chain analysisStructure, actors, margins and constraints across a chain.
  • 07
    Needs assessments and multi-sector rapid assessmentsRapid, structured evidence for response decisions.
  • 08
    Perception, protection and conflict-sensitivity studiesHow affected populations experience an intervention, and what it changes.
  • 09
    Livelihoods, food security and vulnerability analysisHousehold-level evidence on income, consumption and coping.
  • 10
    Household economy and cash feasibility analysisMarket functionality and the case for cash-based transfers.
  • 11
    Political economy and context analysisInterests, incentives and institutions shaping what is feasible.
  • 12
    Real-time learning and adaptive management systemsFeedback loops built into delivery rather than bolted on at the end.

Standards

The rules this work is held to.

Technical defensibility means working to frameworks a third party already recognises. These are the ones that govern this practice.

  • OECD-DAC evaluation criteria
  • Statistically powered mixed-method sampling design
  • Data quality assessment protocols
  • Do-no-harm and conflict-sensitivity principles
  • Research ethics and informed consent
  • Data protection and respondent confidentiality

Adjacent capability

Work in this practice most often runs into these.

Strategy, Governance & Institutional Advisory ICT & Digital Financial & Transaction Advisory

Bring us the constraint, not just the request.

A tender that keeps attracting the wrong bidders, a pipeline nobody can see into, a finding that has to be answered. That is where this practice is most useful.

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