Direct evidence
Supported by data, documents, testimony, measurement or another identifiable source.
The Civic Method
The Civic Method connects public purpose, evidence, choices, implementation and evaluation within one continuous decision process.
Six stages
Each stage is defined by the decision question it must answer and the evidence artifact it leaves behind.
What public value are we trying to create, and for whom?
Typical outputDecision mandate
Clarify authority, public purpose, affected groups, constraints and the decision that must be made.
What systems, institutions, incentives and lived realities shape the problem?
Typical outputEvidence and system map
Combine evidence forms, examine the problem boundary and identify where knowledge is strong, contested or absent.
Which mechanisms could produce the intended change?
Typical outputTheory of change
Connect interventions to outcomes through explicit, contestable causal assumptions.
What are the consequences, trade-offs and implementation requirements of each option?
Typical outputPolicy options appraisal
Compare credible alternatives, including distributional effects, administrative feasibility and the option not to intervene.
Which assumptions can be piloted, simulated or stress-tested before scale?
Typical outputTesting protocol
Select proportionate methods with ethical safeguards, decision thresholds and clear limits on inference.
What evidence will determine whether the policy should continue, adapt or stop?
Typical outputEvaluation and learning framework
Define indicators, feedback paths, review moments and responsibility for acting on what is learned.
Methodological position
Problem definition, evidence synthesis, theory of change, options appraisal, testing and evaluation are established policy and research practices. The Civic Method does not claim to have invented them.
Its contribution is to connect those practices around explicit decision questions and preserve their relationship to public purpose, implementation and later adaptation.
The method is therefore a structure for traceability and learning, not a proprietary formula or a substitute for professional, legal or democratic judgement.
Worked example
A concrete demonstration of how the six questions change the shape of a policy inquiry.
Illustrative example
This example demonstrates the method. It does not describe a completed engagement or claim observed results.
Improve the nutritional quality of meals purchased by public institutions without reducing access or affordability.
Combine procurement data, menu composition, supplier capacity and the experience of diners and frontline staff.
Make explicit how standards, contracting, reformulation and choice architecture are expected to change food provision and consumption.
Appraise mandatory, phased and incentive-based options against health effects, cost, equity, legal authority and delivery capacity.
Pilot the feasible options in representative settings with pre-agreed safeguards, indicators and decision thresholds.
Use uptake, nutritional quality, cost, waste and distributional effects to decide whether to continue, adapt or stop.
Evidence standard
Supported by data, documents, testimony, measurement or another identifiable source.
The strongest explanation available, with the reasoning and credible alternatives made visible.
A premise required to proceed but not yet verified, paired with a way to test or revisit it.
A gap that may change the decision and therefore needs a response, boundary or deliberate acceptance.
Institutional learning
Quality assurance
The appropriate checks depend on the decision, evidence and consequences of error.
Limits and ethics
Public experimentation is constrained by law, democratic authority, proportionality, consent, equity and the possibility of harm.
CMI will not present technical analysis as a substitute for political or democratic judgement.
Testing should stop where potential harm cannot be acceptably bounded, observed or repaired.
Participation must not become symbolic extraction from affected communities.
Evaluation designs must disclose their limits and avoid causal claims that the method cannot support.
Working with CMI
Public institutions, research organisations and public-interest foundations can approach CMI with a consequential policy question, its decision context and the evidence already available.