Explore a policy before it shapes people's lives.

Imagine a city considering a new low-traffic area. The question extends beyond fewer cars: how might residents commute, where could traffic move, how would shops receive deliveries and what happens if public transport cannot meet demand? A city team could compare a limited pilot, a phased rollout and a broader plan from the same starting conditions.

• Transport: compare bus frequency, parking rules, cycle lanes and pedestrian areas; examine travel time, accessibility and operating costs.
• Housing: explore zoning proposals, construction timelines and support programs; examine supply, affordability and neighborhood services.
• City budgets: compare spending on parks, waste collection and local services; identify capacity limits and the groups affected.
• Follow residents, commuters, businesses and service providers across neighborhoods, months and years.

A national leadership team might want to compare different tax proposals, energy subsidies or investment programs. A change can influence household spending, business investment, employment and public revenue at the same time. Simulate several policy designs and implementation schedules, then examine how outcomes change under different economic conditions.

• Economy and taxes: compare thresholds, rates, exemptions and timing; explore household budgets, business responses and revenue assumptions.
• Energy and climate: compare support for home insulation, cleaner transport or energy infrastructure; explore affordability, uptake and supply constraints.
• Employment and industry: test training, investment and small-business support scenarios; examine skills, hiring demand and implementation capacity.
• Compare effects across regions and income groups, including short-term costs and longer-term consequences.

Before a bill is adopted, parliamentarians and legislative teams can explore how its provisions might interact. Consider a proposed housing standard: how could landlords, tenants, builders and enforcement agencies respond to different deadlines, exemptions or support measures? Compare versions of the proposal and trace where unintended incentives or practical bottlenecks could emerge.

• Define the provisions to compare: eligibility, thresholds, deadlines, exemptions and enforcement resources.
• Model the actors affected and the choices available to them under each version.
• Explore compliance costs, access, administrative workload and interactions with other policy assumptions.
• Use the comparison to identify questions for hearings, consultation and a measured pilot.

A policy depends on the institutions that deliver it. A regional team or public agency could explore what happens when a program scales faster than staffing, facilities or procurement. For example, compare opening new service locations with extending hours or improving access remotely. Each plan changes demand, capacity and the experience of the people using the service.

• Education: explore school capacity, transport, staffing and access under different population assumptions.
• Health services: compare service locations, appointment capacity and prevention programs; examine waiting times and resource needs.
• Emergency planning: rehearse responses to heat waves, flooding or supply disruptions and identify coordination gaps.
• Public administration: compare eligibility rules, application steps and staffing plans; track demand, delays and access.

Public policy involves people with different needs and priorities. Civic organizations, researchers and consultation teams can use scenario comparisons to ask who could benefit, who might face additional costs and which communities may be overlooked. A modeled response can help frame questions for consultation and highlight where more evidence is needed.

• Compare the same proposal across different household, community and business contexts.
• Inspect how the result depends on assumptions about behavior, budgets and access.
• Explore alternative designs suggested during public consultation.
• Make priorities explicit: affordability, accessibility, service quality, employment or public cost.

Start with a concrete question: “What could happen if we introduce this policy, for these people, at this time?” Specify the geographic scope, the institutions involved, the alternatives and the outcomes to examine. The relevant authority and implementation constraints depend on the jurisdiction; include them in the starting conditions.

• Bring evidence: draft laws, public budgets, demographic data, service usage and dated research.
• Build a shared baseline: population, institutions, capacity, existing conditions and disclosed assumptions.
• Change the policy: compare a pilot, a phased introduction and other proposed designs over the chosen horizon.
• Inspect the consequences: compare costs, access, behavior and institutional capacity; trace what drives each outcome.
• Check against reality: define pilot measures and update the assumptions as observations become available.