Public bodies must improve outcomes, access and trust while working within policy, budget, accountability and service obligations. We help leaders connect evidence, service design and operating decisions to the public result that matters.
Marketways’ analytical approach
Marketways combines sector understanding with an appropriate quantitative model. Depending on the decision, the model may draw on statistical, econometric, forecasting, simulation, optimisation, machine-learning or AI methods. We test the model against evidence and connect its result to an action and a measurable business outcome. Explore our methods and technologies.
What Marketways finds distinctive about this industry
- Objectives involve public value rather than profit alone.
- Demand, eligibility and service access vary sharply across locations and population groups.
- Policy intent can be weakened by hand-offs between agencies, channels and delivery partners.
- Transparent measures and defensible decisions matter because public action affects rights, resources and trust.
Where we work in the organisation
- Strategy and policy
- Service delivery and customer experience
- Inspection and regulation
- Planning and finance
- Digital government and data
- Workforce and shared services
Projects Marketways undertakes
Public-service demand and capacity plan
How Marketways helps: We answer where, when and through which channels will demand arise. Using appropriate research and analytical methods, we align service locations, staffing and digital capacity with public need.
How we frame the analysis: We define the outcome and select the evidence and model needed to test the decision.
What makes the sector context important: Demand can shift with eligibility, population, seasonality, policy and channel adoption.
Evidence we examine and why it matters
We examine these variables as a connected explanation of the business problem. Each variable has a specific role in the analysis:
- Transactions: establishes the amount, timing and mix of work the organisation must serve.
- Applications: establishes the amount, timing and mix of work the organisation must serve.
- Waiting times: makes delay, duration and timing visible because the same volume can require a different decision when it arrives or moves differently.
- Population: shows which groups create different needs, demand patterns, risks or responses, so an average does not hide material differences.
- Geography: is examined to determine whether differences in this factor alter the business decision, the result or confidence in the analysis.
- Channel use: shows how customers, work or assets move through the system rather than relying only on a final total.
How we judge success: Access, waiting time, utilisation and cost per completed service.
Related services
Sales Forecasting & Demand Planning, Workforce Planning & Capacity.
Supporting methods
Forecasting, Risk & Optimisation, Statistics & Econometrics.
Citizen and resident journey redesign
How Marketways helps: We answer where do people abandon, repeat or misunderstand a service. Using appropriate research and analytical methods, we remove avoidable effort while protecting necessary controls.
How we frame the analysis: We define the outcome and select the evidence and model needed to test the decision.
What makes the sector context important: A faster step in one agency may simply move delay to another agency or to the applicant.
Evidence we examine and why it matters
We examine these variables as a connected explanation of the business problem. Each variable has a specific role in the analysis:
- Journey events: shows how customers, work or assets move through the system rather than relying only on a final total.
- Complaints: identifies where service, reliability or control breaks down and makes the consequence of failure measurable.
- Contact reasons: shows how customers, work or assets move through the system rather than relying only on a final total.
- Completion: records the business or service result against which the proposed change is judged.
- Rework: identifies where service, reliability or control breaks down and makes the consequence of failure measurable.
How we judge success: End-to-end completion, repeat contact, effort and equitable access.
Related services
Process & Workflow Analysis & Redesign, Customer Satisfaction & Experience Research.
Supporting methods
Process, Workflow & Systems, Market, Customer & Behavioural Analytics.
Policy impact and distributional assessment
How Marketways helps: We answer did a policy change the intended outcome, and for whom. Using appropriate research and analytical methods, we distinguish real effects from changes that would have happened anyway.
How we frame the analysis: We define the outcome and select the evidence and model needed to test the decision.
What makes the sector context important: Average effects can hide gains and losses across income, age, nationality, location or vulnerability.
Evidence we examine and why it matters
We examine these variables as a connected explanation of the business problem. Each variable has a specific role in the analysis:
- Administrative outcomes: records the business or service result against which the proposed change is judged.
- Timing: makes delay, duration and timing visible because the same volume can require a different decision when it arrives or moves differently.
- Comparison groups: tests whether the analytical result is reliable for the intended population, decision and operating conditions.
- Contextual indicators: separates changes caused by external or operating conditions from changes management can influence directly.
How we judge success: Outcome change, reach, unintended effects and uncertainty.
Related services
Decision Assurance, Risk & Uncertainty Modelling.
Supporting methods
Statistics & Econometrics, Research & Evidence Collection.
Inspection and regulatory risk prioritisation
How Marketways helps: We answer which facilities, transactions or cases need attention first. Using appropriate research and analytical methods, we direct limited inspection capacity towards higher-risk situations.
How we frame the analysis: We define the outcome and select the evidence and model needed to test the decision.
What makes the sector context important: A prioritisation model must not turn incomplete data into an unchallengeable enforcement decision.
Evidence we examine and why it matters
We examine these variables as a connected explanation of the business problem. Each variable has a specific role in the analysis:
- Inspection history: is examined to determine whether differences in this factor alter the business decision, the result or confidence in the analysis.
- Incidents: identifies where service, reliability or control breaks down and makes the consequence of failure measurable.
- Complaints: identifies where service, reliability or control breaks down and makes the consequence of failure measurable.
- Facility profile: represents the people, assets or resources available to meet demand and the constraints that limit the response.
- Exposure: is examined to determine whether differences in this factor alter the business decision, the result or confidence in the analysis.
How we judge success: Detection yield, missed-risk rate, review burden and fairness.
Related services
Risk Detection, AI & Model Risk.
Supporting methods
Machine Learning & Predictive Analytics, Forecasting, Risk & Optimisation.
Benefits and programme portfolio review
How Marketways helps: We answer which programmes should expand, change, combine or stop. Using appropriate research and analytical methods, we move funding towards interventions with credible public value.
How we frame the analysis: We define the outcome and select the evidence and model needed to test the decision.
What makes the sector context important: Programmes often have different time horizons and outcomes that cannot be reduced to one score.
Evidence we examine and why it matters
We examine these variables as a connected explanation of the business problem. Each variable has a specific role in the analysis:
- Costs: connects the operational pattern to affordability, commercial value and the financial consequence of the decision.
- Beneficiaries: shows which groups create different needs, demand patterns, risks or responses, so an average does not hide material differences.
- Outcomes: records the business or service result against which the proposed change is judged.
- Delivery maturity: is examined to determine whether differences in this factor alter the business decision, the result or confidence in the analysis.
- Dependencies: is examined to determine whether differences in this factor alter the business decision, the result or confidence in the analysis.
How we judge success: Outcome per resource, evidence strength and implementation progress.
Related services
Decision Assurance, Operational Performance Diagnostic.
Supporting methods
Statistics & Econometrics, Forecasting, Risk & Optimisation.
Inclusive and accessible service benchmark
How Marketways helps: We answer where do services fail people with different abilities or circumstances. Using appropriate research and analytical methods, we turn accessibility obligations into testable service improvements.
How we frame the analysis: We define the outcome and select the evidence and model needed to test the decision.
What makes the sector context important: Published standards, lived experience and actual completion evidence must be considered together.
Evidence we examine and why it matters
We examine these variables as a connected explanation of the business problem. Each variable has a specific role in the analysis:
- Standards: defines what the recommended action must respect before it can be considered feasible or safe.
- Service content: is examined to determine whether differences in this factor alter the business decision, the result or confidence in the analysis.
- Accessibility tests: tests whether the analytical result is reliable for the intended population, decision and operating conditions.
- User research: is examined to determine whether differences in this factor alter the business decision, the result or confidence in the analysis.
- Complaints: identifies where service, reliability or control breaks down and makes the consequence of failure measurable.
How we judge success: Successful completion, accessibility failures and user confidence.
Related services
Customer Satisfaction & Experience Research, Mystery Shopping & Service Quality Audit.
Supporting methods
Research & Evidence Collection, Market, Customer & Behavioural Analytics.
Emergency demand and continuity simulation
How Marketways helps: We answer how will services perform when demand or capacity changes suddenly. Using appropriate research and analytical methods, we expose fragile dependencies before a disruption.
How we frame the analysis: We define the outcome and select the evidence and model needed to test the decision.
What makes the sector context important: Plans may look adequate until queues, supplier constraints and staff availability interact.
Evidence we examine and why it matters
We examine these variables as a connected explanation of the business problem. Each variable has a specific role in the analysis:
- Demand scenarios: establishes the amount, timing and mix of work the organisation must serve.
- Capacity: represents the people, assets or resources available to meet demand and the constraints that limit the response.
- Dependencies: is examined to determine whether differences in this factor alter the business decision, the result or confidence in the analysis.
- Response times: makes delay, duration and timing visible because the same volume can require a different decision when it arrives or moves differently.
- Recovery assumptions: records the business or service result against which the proposed change is judged.
How we judge success: Critical-service continuity, recovery time and unserved demand.
Related services
Risk & Uncertainty Modelling, Business Systems Design & Architecture.
Supporting methods
Forecasting, Risk & Optimisation, Process, Workflow & Systems.
Government data and management-information design
How Marketways helps: We answer which measures help leaders act rather than merely report. Using appropriate research and analytical methods, we create a shared view of outcomes, operations and emerging risk.
How we frame the analysis: We define the outcome and select the evidence and model needed to test the decision.
What makes the sector context important: Different agencies may use similar words for different populations, events and completion states.
Evidence we examine and why it matters
We examine these variables as a connected explanation of the business problem. Each variable has a specific role in the analysis:
- Definitions: describes how the system is structured, where dependencies sit and why a change in one part can affect another.
- Source systems: describes how the system is structured, where dependencies sit and why a change in one part can affect another.
- Ownership: describes how the system is structured, where dependencies sit and why a change in one part can affect another.
- Quality checks: records the business or service result against which the proposed change is judged.
- Decision cadence: is examined to determine whether differences in this factor alter the business decision, the result or confidence in the analysis.
How we judge success: Measure consistency, decision lead time and data exceptions.
Related services
Business Systems Design & Architecture, Operational Performance Diagnostic.
Supporting methods
Data Foundations & Business Intelligence, Process, Workflow & Systems.
Case studies combining several projects
Marketways combined related projects when the engagement required evidence, decisions and implementation to be connected across functions.
Service Delivery Redesign for a Government Department
Marketways combined these projects to connect policy intent, service demand, citizen journeys and operational capacity.
- Policy impact and distributional assessment
- Public-service demand and capacity plan
- Citizen and resident journey redesign
- Government data and management-information design
Engagement shape: Multi-phase transformation. Success was assessed through: Public outcome, access, completion and sustainable operating capacity.
Risk-Based Inspection Prioritisation for a Public-Service Authority
Marketways combined these projects to improve how a regulator detects, prioritises and learns from risk.
- Inspection and regulatory risk prioritisation
- Government data and management-information design
- Emergency demand and continuity simulation
Engagement shape: Pilot followed by controlled scale-up. Success was assessed through: Higher detection value with explainable, proportionate intervention.
Published case studies connected to this industry
These links point to existing published Marketways case studies. Each case may combine several project areas.
- Using LLM & NLP to benchmark services to People of Determination
Connected project areas: Inclusive and accessible service benchmark.
- Analysing the impact of fast-food advertising on children's consumption
Connected project areas: Policy impact and distributional assessment.
AI agents and workflows in this industry
These application notes explain where controlled workflows are sufficient, where an AI agent adds value and how the operating design changes in this industry.
AI Agents in Government and Public Services: Use Cases and Implementation
AI agents in government and public services should own a bounded operating goal, not an unlimited business function. This application note shows a credible use case, the evidence the agent needs and the decisions that remain with people.
AI Workflow Automation in Government and Public Services: A Practical Design
An AI workflow combines defined process steps with selected AI tasks. In government and public services, the strongest designs automate evidence handling while keeping material judgement and authority visible.
Discuss an industry question
A useful conversation can begin with the decision, operating context, evidence already available and the consequence of getting the decision wrong.