Test

Stage 2 — Test

Stress-test the decision before commitment.

Once the evidence base is established, the decision is tested against risk, scenarios, stakeholder response, civic consequence and implementation conditions. Four Labs examine the decision from different angles of pressure before money, people or reputation are placed at risk.

Pre-commitment assurance

Decision Visibility Lab

Stress-test consequential decisions against evidence, assumptions, scenarios, delivery reality and risk pathways. Decision Visibility examines whose interests are served and whose are invisible in the evidence base.

Full Decision Visibility Lab detail
Frame
Decision framing and option testing

Clarify the decision, options, approval pathway, consequences, uncertainty and what leaders need confidence about.

Test
Evidence and assumption testing

Review material supporting the decision. Identify what is strong, weak, missing, contested or overconfident.

Simulate
Scenario and consequence simulation

AI-supported simulation to examine likely pathways, second-order effects and pressure points.

Advise
Decision assurance output

Decision conditions, risks, challenge points, scenario notes and recommendation pathway. Integrated findings.

Future scenarios

Forecast Lab

Model future scenarios, second-order consequences and risk pathways. Test what happens under different conditions before the decision locks in a direction. Decision Visibility traces whose futures are affected and whose are invisible in the modelling.

Full Forecast Lab detail
Variables
Identify decision variables

Map the key factors that could change the outcome: market conditions, stakeholder response, regulatory shifts, capability gaps.

Scenarios
Model plausible futures

Build structured scenarios based on different condition combinations. AI-supported simulation tests each.

Consequences
Map second-order effects

Trace cascading effects, unintended consequences and compounding risks that emerge over time.

Conditions
Decision conditions and trigger points

Convert scenario findings into monitoring requirements, contingency logic and decision conditions.

Public consequence

Civic Lab

Map public consequence, community trust, civic legitimacy and stakeholder risk before any public commitment is made. Decision Visibility centres te ao Māori and community-held values alongside institutional risk assessment.

Full Civic Lab detail
Mapping
Civic landscape mapping

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

Pressure
Civic constraints and pressure points

Identify non-negotiables, public expectations, political sensitivities and legitimacy risks.

Engagement
Engagement architecture

Design engagement that is proportional, credible and aligned to the decision context.

Trail
Decision support and audit trail

Evidence, risks, stakeholder considerations and conditions for confidence. Integrated findings.

Stakeholder alignment

Engage Lab

Map stakeholder power, trust, resistance, influence and alignment so leaders can see the human landscape around a decision before approval or engagement. Decision Visibility reveals whose voice carries weight and whose is absent.

Full Engage Lab detail
Map
Stakeholder landscape mapping

Identify affected groups, influencers, decision-makers, blockers, allies, resisters and silent stakeholders.

Assess
Power, trust and alignment analysis

Assess each group’s power, influence, trust level, likely position and conditions for support or resistance.

Simulate
Response scenario testing

Model how different stakeholder groups may respond under different conditions.

Design
Engagement architecture

Stakeholder map, engagement logic, sequencing, risk mitigation and decision conditions. Integrated findings.

Decision tested. Now make the change land.

Once the decision has been stress-tested, Stage 3: Implement tests whether the organisation can actually adopt the change. Change Lab examines capability, behaviour, cultural readiness and implementation friction.