Civic Lab

Decisions that communities can live with.

Civic Lab helps leaders understand the civic landscape before they commit to a decision. We map community sentiment, stakeholder power, trust conditions, media dynamics and governance risk so decisions are tested before they become public commitments, alongside the wider MOI Lab system.

Why this exists

Some decisions operate in civic environments. Most do not get tested that way.

Councils, schools, communities, public services, education organisations and funded programmes often make decisions that carry more than operational risk. This includes contexts similar to those recognised by Local Government New Zealand. They carry trust risk, legitimacy risk and public consequence.

Civic Lab helps leaders see the civic system around the decision before they commit. It turns stakeholder noise into mapped signal and tests whether the decision can survive the environment it will enter. Where implementation risk is also material, the work may connect to Change Lab.

Let’s talk
Powered by the MOI Decision Framework

Public confidence is part of the decision environment.

Civic Lab is powered by the Ministry of Insights Decision Framework. It applies structured decision analysis, stakeholder intelligence, implementation confidence and AI-supported simulation to complex civic environments.

Evidence
Ground the decision in what is known.

Separate evidence from assumption, stakeholder signal from noise, and public narrative from verified fact. Where operational facts also need testing, see Insight Lab.

Traceability
Link evidence to recommendation.

Make it clear why the decision is being recommended and what conditions need to be true.

Simulation
Test likely civic consequences.

Use scenario thinking to explore how stakeholders, communities and public narratives may respond, consistent with MOI’s responsible AI approach.

How it works

Civic intelligence, structured for decision-makers.

The work is practical, not performative. Civic Lab turns civic complexity into decision intelligence that leaders can actually use.

01 Mapping
Civic landscape mapping

Map public sentiment, actors, stakeholder groups, influence networks, trust levels and likely reaction conditions.

02 Pressure
Civic constraints and pressure points

Identify non-negotiables, public expectations, political sensitivities and points where the decision may lose legitimacy.

03 Engagement
Engagement architecture

Design engagement that is proportional, credible and aligned to the decision context. For deeper stakeholder mapping, see Engage Lab.

04 Trail
Decision support and audit trail

Produce a clear decision pack showing evidence, risks, stakeholder considerations and conditions for confidence.

What Civic Lab is not

Not a survey tool. Not a generic consultation template.

Civic Lab is not a discovery tool, tick-box consultation or generic communications campaign. It is a decision environment for understanding how a choice may operate in public, stakeholder or community conditions. You can compare this with the broader AI Simulation Labs.

Signal

The decision is public-facing or likely to affect community confidence.

Signal

Stakeholders are diverse, influential, divided, sceptical or politically exposed.

Signal

The organisation needs to defend the decision, not just implement it.

Signal

Trust, legitimacy, public narrative or reputation could shape the outcome.

Signal

There is a gap between internal confidence and external acceptance.

When to use Civic Lab

Use Civic Lab when consequences extend beyond the organisation.

Public decisions Council, government or funded programme choices

Where legitimacy, public confidence or stakeholder response may affect success.

Education School, community or learning-system decisions

Where teachers, families, students, funders or communities may be affected.

Infrastructure Service, policy or infrastructure changes

Where the visible impact may be felt differently by different groups.

Trust Decisions involving trust, reputation or transparency

Where the organisation needs defensible rationale and public confidence, supported by the same decision assurance logic used in Decision Assurance Lab.

Engagement Stakeholder-sensitive initiatives

Where engagement could either improve decision quality or become theatre. Engage Lab can support this where alignment risk is the dominant pressure.

Risk High-consequence commitments

Where a poor civic read could create resistance, delay, scrutiny or reputational harm. You can review related examples through case studies.

What this looks like in practice.

A public-facing decision is tested against real civic conditions before leaders commit to a direction, consultation approach or implementation pathway. When the decision moves into delivery, Changeable can support practical implementation.

Map affected groups, influence, likely concerns and trust conditions.
Identify where the decision may be misunderstood, resisted or politicised.
Separate legitimate stakeholder risk from loud but low-substance noise.
Test likely narratives, pressure points and engagement requirements.
Produce decision conditions, engagement logic and a defensible recommendation pathway.
Questions

Civic Lab FAQs

Common questions before using Civic Lab for public or stakeholder-sensitive decisions.

Is Civic Lab the same as traditional policy analysis?

No. Traditional policy analysis may focus on options, evidence and recommendations. Civic Lab focuses on the civic environment around the decision: stakeholder power, trust, narrative risk, legitimacy, engagement quality and the conditions needed for confidence. For the full Lab suite, see AI Simulation Labs.

Do you run community consultation?

Civic Lab can support the design of engagement, but it is not just a consultation service. It is primarily a decision intelligence process.

Can Civic Lab be used before consultation?

Yes. In many cases, it should be used before consultation so the organisation understands who is affected, what needs to be tested and what risks need to be managed.

Is this only for government?

No. It can also support education organisations, not-for-profits, funders, infrastructure providers and private organisations whose decisions affect communities or public trust.

What do we receive?

Outputs may include a civic landscape map, stakeholder risk map, trust and legitimacy analysis, engagement architecture and decision conditions. MOI’s privacy and ethical AI principles guide how information is handled.

Need to test the civic conditions around a decision?

Bring the decision before it becomes public, contested or difficult to reverse. For individual AI capability building alongside organisational work, see Zero to AI. Civic Lab helps you see the civic environment before it shapes the outcome for you.

Civic Lab sits within the wider MOI Lab system, alongside Insight Lab, Engage Lab, Change Lab, Consult Lab and Decision Assurance Lab.