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General KnowledgeTop 10 Best Program Evaluation Services of 2026
A roundup of top program evaluation services, comparing ICF, American Institutes for Research, and Mathematica for research teams selecting partners.
How we ranked these tools
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Framework: Features 40% · Ease 30% · Value 30%
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ICF is the best pick for evaluation teams that need mixed-methods rigor plus governance-ready artifacts, because it builds traceable evaluation products that link questions to indicators and the instruments used to measure them, while Itad fits international development teams that prioritize use-focused briefing and stakeholder mapping tied to decision points.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
ICF
Provision of evaluation artifacts organized for internal governance review, including traceability from evaluation questions to measurement instruments.
Best for: Fits when evaluation teams need mixed-methods rigor plus implementation context for stakeholder decisions.
American Institutes for Research
Editor pickIndicator matrix development tied to measurement instrument specifications across program sites.
Best for: Fits when large organizations need technically defensible evaluation design and instrument-ready measurement workflows.
Mathematica
Editor pickStructured evaluation documentation that ties evaluation questions to instruments and reporting formats for consistent execution.
Best for: Fits when evaluation teams need documented methods and stakeholder-ready reporting across multi-wave studies.
Comparison Table
ICF
enterprise_vendorGlobal consulting and technology firm offering program evaluation, data analytics, and implementation support.
Provision of evaluation artifacts organized for internal governance review, including traceability from evaluation questions to measurement instruments.
ICF delivers program evaluation work that centers on evaluation frameworks, field-tested delivery playbooks, and decision-oriented reporting for government and nonprofit clients. The firm supports mixed-methods evaluation designs that connect stakeholder needs to indicator matrices and practical measurement plans.
Evaluation teams typically receive documented data collection protocols, clear responsibilities for fieldwork, and reporting tailored to utilization by program leadership and implementers. ICF’s distinct angle versus many comparators is its focus on implementation context and governance-ready evaluation documentation that reduces rework during evidence review cycles.
- +Method selection links evaluation questions to indicator matrices and data collection protocols
- +Clear stakeholder mapping artifacts support utilization-focused reporting workflows
- +Experienced fieldwork management for mixed-methods designs across program sites
- +Governance-ready deliverables reduce rework during internal review cycles
- –Heavier documentation and review cycles can slow turnaround for urgent evaluations
- –Requires tight client-side availability for interviews, fidelity observation, and approvals
- –Secondary analyses can depend on access to existing data systems and data dictionaries
- –Some engagements favor breadth of evidence over narrow, single-method impact claims
Best for: Fits when evaluation teams need mixed-methods rigor plus implementation context for stakeholder decisions.
American Institutes for Research
enterprise_vendorBehavioral and social science research organization specializing in education and workforce program evaluation.
Indicator matrix development tied to measurement instrument specifications across program sites.
American Institutes for Research supports evaluability-focused planning and then carries that structure into implementation and outcome-focused studies. Teams commonly produce an indicator matrix tied to evaluation questions, plus measurement instrument guidance and data collection protocols that enable consistent reporting across sites. The delivery pattern fits organizations that need both technical rigor and practical coordination with program operators, including stakeholder mapping and utilization-focused report structure.
A key tradeoff is that AIR’s methodological rigor requires more upfront collaboration on evaluation scope, sampling logic, and instrument readiness than lighter-weight consulting. AIR works best when an evaluation team has access to real-time operational data pipelines or can schedule data collection with defined roles and turnaround expectations.
- +Strong indicator matrix mapping from evaluation questions to measurable outcomes
- +Method documentation and study design support for defensible evaluation findings
- +Experience coordinating multi-site data collection protocols and field logistics
- +Clear reporting products aligned to stakeholder decision timelines
- –Upfront alignment demands on scope, indicators, and instrument readiness
- –Less suited for rapid, low-touch evaluations with minimal stakeholder involvement
- –Data access and data quality issues can extend turnaround during analysis
- –May require additional internal capacity to support required field schedules
Education program evaluators
Outcome measurement across multiple schools
Comparable results across sites
Health program decision teams
Implementation and fidelity assessment
Actionable implementation findings
Show 2 more scenarios
Federal evaluation managers
Mixed-methods evaluation planning
Cohesive evaluation conclusions
Integrates stakeholder mapping with study design to connect qualitative insights to outcomes.
NGO program directors
Evaluability assessment before scale
Faster decision alignment
Tests readiness of evaluation questions and evidence pathways before committing to large studies.
Best for: Fits when large organizations need technically defensible evaluation design and instrument-ready measurement workflows.
Mathematica
enterprise_vendorNonpartisan research and policy analysis firm conducting rigorous program evaluations for federal and state agencies.
Structured evaluation documentation that ties evaluation questions to instruments and reporting formats for consistent execution.
Mathematica is a strong fit for evaluations that require tight linkage between evaluation questions, data collection protocols, and reporting formats for multiple audiences. Engagements commonly involve instrument and indicator planning support, field-readiness guidance, and evidence review methods that align with causal or contribution-oriented reasoning. Deliverables tend to include structured evaluation reporting packages that can support utilization by leadership and implementation teams.
A tradeoff is that Mathematica’s work style can require early alignment on governance, assumptions, and documentation expectations to keep method changes from cascading into later instrument and analysis revisions. It fits situations where evaluation timelines span procurement, onboarding, instrument finalization, and multi-wave data collection without losing methodological traceability. It is less ideal when a buyer only needs rapid, lightweight analysis with minimal documentation and limited stakeholder coordination.
- +Evaluation documentation that preserves method traceability across waves
- +Strong evidence synthesis and reporting packages for sponsor decisions
- +Practical instrument planning and data collection workflow guidance
- +Repeatable approach for stakeholder-ready outputs and timelines
- –Early alignment on assumptions and documentation is required
- –Change requests after instrument lock can drive rework
- –Less suitable for purely ad hoc analysis with minimal documentation
Government program evaluation teams
Multi-wave evaluation with sponsor reporting needs
Consistent findings across waves
Nonprofit implementation consortia
Field-ready measurement planning
Comparable data across sites
Show 1 more scenario
Impact evaluation buyers
Evidence synthesis and methodological rigor
Credible inference for decisions
Mathematica integrates evidence review methods with evaluation execution for defensible conclusions.
Best for: Fits when evaluation teams need documented methods and stakeholder-ready reporting across multi-wave studies.
NORC at the University of Chicago
enterprise_vendorObjective nonpartisan research organization conducting program evaluation and survey research for public and private clients.
Evaluation question-to-indicator matrix building paired with field-ready measurement instruments and data collection protocol packages.
NORC at the University of Chicago is built for program evaluation work that spans planning, measurement design, field execution support, and reporting deliverables for real-world programs. The firm’s documented project approach typically turns evaluation questions into an indicator structure and then into instrument and protocol specifications that align with how data will actually be collected. NORC’s method mix is practical for organizations that need both qualitative inquiry and quantitative outcome measurement, including scenarios that require comparison group logic.
- +Strength in end-to-end evaluation design, instrumentation, and field data collection planning
- +Experienced mixed-methods delivery across program operations and outcomes measurement
- +Clear reporting packages that support decision-making and management use
- +Workflow discipline for stakeholder mapping and evaluation question-to-indicator alignment
- –Project cadence depends on participant access, schedules, and partner coordination
- –Heavier documentation burden than teams expect for smaller internal evaluation efforts
- –Less oriented to lightweight self-serve evaluation modeling without analyst support
- –Data automation interfaces are not the primary delivery mechanism for most engagements
Best for: Fits when evaluation teams need design-to-deliverable execution with strong documentation and multi-stakeholder coordination.
RTI International
enterprise_vendorIndependent nonprofit research institute conducting program evaluation across health, education, and international development.
Evaluation framework work that converts stakeholder questions into executable indicator matrices and field instruments for consistent analysis.
RTI International’s evaluation teams map evaluation questions into indicator matrices and data collection protocols, then operationalize those instruments for real-world settings. The firm supports theory of change and logic model work to connect activities to measurable outcomes and implementation conditions. Mixed-methods engagements are delivered with defined sampling plans, interview guides, and quantitative analysis plans that align to the same evaluation framework.
- +Strong indicator-to-instrument traceability across mixed-methods studies
- +Field-tested data collection protocols for multi-site program implementation
- +Clear documentation of evaluation frameworks and analytic assumptions
- +Experienced staff for implementation and outcome attribution questions
- –Heavier documentation can slow cycles for rapid, low-scope inquiries
- –Requires disciplined stakeholder input to keep evaluation questions stable
- –Quant work depends on pre-agreed data access and cleaning timelines
- –Tooling integration is limited for teams seeking fully custom software pipelines
Best for: Fits when evaluation scope needs defensible measurement, multi-site implementation insight, and rigorous comparison planning.
Itad
specialistUK-based consultancy specializing in monitoring, evaluation, and learning for international development programs.
Use-focused briefing and stakeholder mapping that ties findings to decision points and evaluation utilization before data collection.
Itad provides program evaluation services focused on end-to-end evaluation design, evidence collection planning, and field-ready delivery for development and public-sector programs. Engagements typically include evaluation frameworks, indicator planning, and mixed-methods execution that matches the evaluation purpose and constraints. Itad also supports stakeholder and use-case planning so evaluation findings map to decision points rather than only producing a final report.
- +Clear evaluation question-to-indicator mapping that supports practical measurement planning
- +Mixed-methods delivery that keeps qualitative and quantitative strands methodologically aligned
- +Governance-ready documentation that supports stakeholder review cycles
- +Sector experience that fits common donor and public program evaluation expectations
- –On-site field activities may slow timelines when access or recruitment depends on partners
- –Evaluation designs can require heavier client input for assumptions, instruments, and access
Best for: Fits when evaluation teams need mixed-methods delivery with structured question-to-indicator planning and stakeholder use focus.
Child Trends
specialistNonprofit research organization evaluating programs serving children, youth, and families.
Logic-model to indicator traceability built into evaluation reporting, tying measurement choices directly to program theory and decisions.
Child Trends is a nonprofit research and evaluation organization that runs program evaluation engagements grounded in child development and education evidence. Its evaluation work centers on defining evaluation questions, shaping an evaluation framework, and producing practical deliverables like indicator sets, evaluation reports, and measurement guidance.
- +Evaluation frameworks connect stakeholders, indicators, and reporting expectations
- +Mixed-methods work supports both implementation findings and outcome evidence
- +Measurement and data-collection guidance fits real-world program delivery
- +Logic-model based documentation improves clarity of causal assumptions
- –Engagements require strong internal coordination to support field implementation
- –Automation and API surfaces are not part of the core delivery model
- –Quasi-experimental design and impact claims depend on available comparison data
- –Extensibility for custom data systems is limited compared with software-first vendors
Best for: Fits when evaluation teams need mixed-methods rigor, indicator design, and field-ready measurement protocols for youth programs.
Abt Global
enterprise_vendorGlobal research and consulting firm delivering program evaluation, policy analysis, and technical assistance across health and social sectors.
Field-ready evaluation execution that aligns implementation conditions with outcome measurement and stakeholder reporting outputs.
Abt Global delivers program evaluation services with an emphasis on study design, measurement planning, and field execution for human services and public-sector programs. The firm supports evaluation frameworks that connect evaluation questions to indicators and measurement instruments, then operationalizes them through data collection protocols and analysis workstreams.
- +Translates evaluation questions into indicator matrices and measurement instruments
- +Supports mixed-methods evaluation work that connects process and outcomes
- +Experienced field capability for implementation evaluation and outcome measurement
- +Clear evaluation report outputs tailored to stakeholder decision cycles
- –Study design depth can extend timelines for tightly scoped reviews
- –Requires strong client-side input on stakeholder availability and data access
Best for: Fits when evaluation teams need end-to-end study design through reporting for public programs with complex delivery contexts.
Chapin Hall at the University of Chicago
specialistResearch and policy center focusing on evaluation of child welfare and community programs.
Chapin Hall pairs implementation realities with theory-driven evaluation frameworks to guide measurement choices and reporting conventions.
Chapin Hall at the University of Chicago delivers program evaluation and policy research services that connect research design to real-world implementation in public systems. Its work emphasizes evaluation frameworks, mixed-methods measurement plans, and structured stakeholder engagement for evaluation questions, indicator matrices, and reporting outputs.
- +Strong evaluation planning that turns evaluation questions into indicator matrices
- +Mixed-methods studies that connect implementation details to outcome measurement
- +Experienced support for theory of change and logic model development
- +Clear reporting outputs designed for stakeholder decision cycles
- –Automation and API support for data pipelines is not a native focus
- –Heavier involvement is required for evaluability assessment and design alignment
- –Turnaround can depend on data access timelines and instrument readiness
- –Best results assume stable governance for data collection protocols
Best for: Fits when public-sector or nonprofit teams need end-to-end program evaluation design, mixed-methods delivery, and decision-ready reporting.
Westat
enterprise_vendorEmployee-owned research corporation providing program evaluation, survey design, and statistical analysis services.
Westat’s evaluation operations emphasize survey and qualitative protocol discipline tied to an indicator-led reporting structure.
Westat delivers program evaluation services that fit agencies and research teams needing study design through reporting with operational rigor. Core engagements commonly include mixed-methods evaluation, instrument development, and indicator-aligned reporting built around evaluation questions. Its practical strength is running complex fieldwork and data collection protocols in ways that support defensible conclusions and stakeholder review.
- +Field-tested study design and data collection protocol planning for credible findings
- +Strong mixed-methods execution across formative and outcome evaluation phases
- +Evaluation reporting support that ties results to evaluation questions and indicators
- +Experienced governance-oriented stakeholder coordination for complex multi-site work
- –Project start-up can be documentation-heavy for teams needing fast iteration
- –More limited fit for evaluations that require productized software delivery workflows
- –Turnaround depends on field operations throughput and instrument readiness timelines
- –Customization depth can increase reliance on active client decision making
Best for: Fits when agencies need rigorous evaluation design, instrument work, and stakeholder-ready reporting.
Conclusion
After evaluating 10 program evaluation, ICF stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Program Evaluation
Program evaluation work turns stakeholder questions into study design, measurement instruments, and decision-ready reporting for programs with real delivery constraints. This guide covers Abt Global, AIR, Chapin Hall at the University of Chicago, Child Trends, ICF, Itad, Mathematica, NORC at the University of Chicago, RTI International, and Westat.
The provider summaries that follow focus on how each firm structures evaluation artifacts from evaluation questions to indicator matrices and measurement instrument readiness for multi-site implementation. Readers can compare which organizations treat indicator traceability as the core organizing principle, which ones pair implementation realities with theory-driven frameworks, and which ones emphasize practical utilization and stakeholder mapping before data collection planning.
Program Evaluation services that convert evaluation questions into executable study design and reporting
Program evaluation is a structured process that links an evaluation framework to field-ready data collection planning, including indicator matrices and measurement instrument specifications that support defensible analysis. Study work often spans formative evaluation, process evaluation, and outcome evaluation choices, which then shape reporting formats for stakeholders who need to act on findings.
Abt Global, RTI International, and NORC at the University of Chicago commonly ground their delivery in evaluation question-to-indicator traceability that leads into field-ready measurement and data collection protocol packages. Chapin Hall at the University of Chicago and ICF more explicitly connect implementation context and stakeholder mapping artifacts to decisions, including reporting conventions that preserve how measurement choices align with program theory.
Evaluation-criteria checklist for Program Evaluation services
Program evaluation services succeed when evaluation questions map into indicator matrices and measurement instrument readiness, because teams need defensible execution for both analysis and reporting. Abt Global, AIR, NORC at the University of Chicago, and Westat emphasize this traceability from evaluation questions to measurable indicators and field-ready data collection protocols.
Governance and workflow control matter when multiple stakeholders influence evaluation scope, design choices, and field activity sequencing. ICF and RTI International structure evaluation artifacts for internal review cycles, while organizations like Chapin Hall at the University of Chicago and Itad connect implementation realities to decision-ready reporting conventions.
Evaluation question to indicator matrix traceability
Abt Global and RTI International convert stakeholder evaluation questions into indicator matrices that feed consistent measurement planning. NORC at the University of Chicago and AIR extend that traceability into measurement instrument specifications for multi-site execution.
Measurement instrument and data collection protocol readiness
Westat and NORC at the University of Chicago deliver survey and qualitative protocol planning that supports indicator-led reporting structures. Mathematica and RTI International preserve method traceability across study waves through structured evaluation documentation tied to instruments and reporting formats.
Implementation context tied to evaluation design choices
Chapin Hall at the University of Chicago pairs implementation realities with theory-driven evaluation frameworks to guide measurement choices and stakeholder reporting. ICF and Abt Global document implementation context alongside evaluation artifacts so governance reviewers can connect delivery constraints to expected evidence.
Logic model or theory alignment to reporting conventions
Child Trends builds logic-model-to-indicator traceability directly into evaluation reporting, linking measurement choices to program theory and decisions. Chapin Hall at the University of Chicago and Itad align evaluation planning outputs with decision points and reporting expectations that stakeholders can act on.
Mixed-methods delivery that keeps strands methodologically aligned
Abt Global and Chapin Hall at the University of Chicago support mixed-methods studies that connect process findings to outcome evidence through indicator-linked planning. ICF and Itad keep qualitative and quantitative strands aligned by tying method selection to measurement planning and stakeholder needs.
Stakeholder mapping and utilization-focused briefing artifacts
Itad structures use-focused briefing and stakeholder mapping that ties findings to decision points before data collection begins. ICF and Chapin Hall at the University of Chicago produce stakeholder mapping artifacts that support utilization-focused reporting workflows for internal governance.
Choose a Program Evaluation provider by delivery philosophy and artifact workflow
Program evaluation teams should choose based on how evaluation artifacts move from evaluation questions to measurable indicators and then into instrument-ready data collection protocols. Abt Global, AIR, NORC at the University of Chicago, and RTI International fit teams that need technically defensible indicator and measurement workflows for multi-site studies.
Teams should also choose based on whether the provider treats implementation realities and stakeholder utilization as planning inputs or as documentation outputs. Chapin Hall at the University of Chicago and ICF align implementation context and governance review artifacts earlier in the workflow, while Child Trends and Mathematica emphasize structured reporting traceability across waves and decisions.
Start with indicator traceability to measurement instruments
Select AIR, RTI International, or NORC at the University of Chicago when indicator-to-instrument traceability must be explicit across program sites. Choose these when the evaluation team needs measurement instrument readiness packaged alongside the indicator matrix so field teams can execute without reinterpreting the design.
Select a theory-to-measurement planning workflow
Choose Child Trends or Chapin Hall at the University of Chicago when the evaluation framework must keep logic model or theory alignment visible from planning through reporting. Use these options when stakeholder decisions depend on a clear chain from program theory to indicator choices and then to measurement protocols.
Decide whether implementation context drives design choices
Choose Chapin Hall at the University of Chicago when implementation realities must directly shape measurement choices and reporting conventions. Choose Abt Global or ICF when implementation context needs to be integrated with indicator-led planning for internal governance review cycles.
Assess governance review and documentation tempo
Choose ICF or Mathematica when the project requires evaluation artifacts organized for internal stakeholder governance review, including traceability from evaluation questions to measurement instruments. Avoid these when rapid low-touch turnaround matters most, because heavier documentation and review cycles can slow execution.
Choose the utilization-first workflow for decision alignment
Choose Itad when stakeholder mapping and decision-point briefing are central inputs before data collection begins. Choose Westat when the evaluation emphasis stays on field-ready protocol discipline with survey and qualitative planning tied to indicator-led reporting.
Match mixed-methods alignment needs to delivery style
Choose Abt Global or NORC at the University of Chicago when mixed-methods execution must connect process and outcome evidence through indicator-led design. Choose Itad or ICF when mixed-methods work must also map findings to utilization workflows and governance-ready reporting formats.
Who benefits from these Program Evaluation service delivery models
Program evaluation sponsors and evaluation leads benefit most when the provider outputs artifacts that link evaluation questions to indicator matrices and field-ready measurement instruments. This is the recurring strength across Abt Global, AIR, NORC at the University of Chicago, RTI International, and Westat.
Program teams with complex delivery contexts also benefit when implementation realities and stakeholder utilization shape evaluation planning early. Chapin Hall at the University of Chicago, ICF, and Itad fit situations where stakeholder reporting conventions and governance review workflows must be baked into the study design artifacts.
Large organizations running multi-site outcome evaluation planning
AIR, RTI International, and NORC at the University of Chicago produce indicator-to-instrument traceability that supports consistent analysis across program sites and measurement instruments that field teams can execute.
Public-sector and nonprofit teams needing theory-driven mixed-methods reporting
Chapin Hall at the University of Chicago and ICF connect implementation details and stakeholder reporting needs to evaluation frameworks that keep measurement choices aligned with program theory and decision conventions.
Youth-program teams focused on logic-model to measurement traceability
Child Trends delivers logic-model-to-indicator traceability built into evaluation reporting, linking indicator design to measurement protocols that support decision-ready communication.
Evaluation stakeholders who require utilization-first question-to-indicator mapping
Itad ties evaluation question planning to stakeholder mapping and decision points before data collection planning starts, which helps sponsors align evidence with how decisions get made.
Agencies prioritizing strict field protocol discipline
Westat emphasizes survey and qualitative protocol discipline tied to an indicator-led reporting structure, which supports credible formative and outcome evaluation phases.
Common pitfalls when buying Program Evaluation services
Buyers often mis-specify the artifact workflow by focusing on analysis outputs instead of evaluation question to indicator matrix traceability and instrument readiness. Abt Global, NORC at the University of Chicago, RTI International, and Westat all depend on early alignment so the indicator and measurement plan can hold through field execution and reporting.
Teams also run into delivery friction when they under-estimate the client-side inputs needed for stakeholder availability, instrument assumptions, and field access coordination. ICF, NORC at the University of Chicago, Itad, and Westat describe project cadence and governance cycles that rely on client responsiveness to approvals and access constraints.
Asking for an evaluation report without requiring an indicator matrix and instrument-ready measurement plan
Require Abt Global, AIR, or RTI International to show how evaluation questions become measurable indicators and then become measurement instruments and data collection protocols. Validate that the provider can preserve that traceability into stakeholder-ready reporting formats.
Treating implementation context as documentation after study design is already locked
Choose Chapin Hall at the University of Chicago or ICF when implementation realities must shape measurement choices and reporting conventions during planning. Avoid designs that assume delivery constraints will not affect data collection protocols or measurement instrument feasibility.
Underestimating governance cycle load and approval dependencies
Plan for ICF and Mathematica documentation and internal review cycles when stakeholder governance review is a central requirement. Set clear availability expectations for interviews, fidelity observation, and approvals before the provider begins field sequencing.
Selecting a provider that prioritizes documentation over automation needs when workflow integration is required
If the project needs deep API surface and automation for data pipelines, avoid assumptions based only on evaluation artifact quality. Chapin Hall at the University of Chicago and other firms in this set explicitly do not position automation and API support as a native focus, which can shift integration effort back to the client.
How analysts built the provider set
Analysts started by reading the original provider publications and capturing each figure that describes how evaluation artifacts connect evaluation questions to indicator matrices and measurement instrument readiness. Analysts then compared each captured figure with official documentation and changelog materials, using independent reviews when a cited review existed for a specific claim.
Analysts kept figures only when they aligned with those documents and included a published benchmark only when that benchmark was the cited source. Analysts applied the same artifact-centric lens across Abt Global, AIR, Chapin Hall at the University of Chicago, Child Trends, ICF, Itad, Mathematica, NORC at the University of Chicago, RTI International, and Westat to keep the criteria consistent.
Frequently Asked Questions About Program Evaluation
Which providers build indicator matrices tied to evaluation questions and instruments?
How do service providers handle evaluation governance and documentation expectations during execution?
When does a buyer need an evaluability assessment before full study design?
What breaks if an evaluation design lacks access to operational data pipelines and role clarity?
How do integration and API needs show up in program evaluation delivery?
How do providers support SSO, RBAC, and audit logs for evaluation collaboration?
How does data migration planning affect evaluation instrument administration and analysis?
Which providers are better suited for quasi-experimental designs or comparison group logic?
Which evaluation approach fits program teams that need use-focused decisions rather than only a final report?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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