Scenario PlanningBioR · Health Security

The foresight framework

Grounded in the Oxford Scenario Planning Approach. Scenarios here do not predict — they test the robustness of a plan's assumptions against plausible, precedent-free futures. Each also runs as a discussion-based tabletop exercise.

A system can be excellent at preparing for what it has seen and still be blind to what it has not. The purpose of scenario work here is to build readiness for the precedent-free — not just better plans for the last crisis.

Preparedness

Getting ready for a threat that HAS a reference class — one that resembles something we have seen (COVID, influenza, known AMR). Plans, playbooks and drills work because the past is a guide.

Readiness

Being able to cope with a threat that is precedent-free — a pathogen, dynamic or context we have NOT seen, where experience can actively mislead. Readiness is an adaptive capacity, not a plan for a known pattern.

The foresight process

1

Purpose

What decision or plan review does this serve, and by when?

→ A single, learning-framed purpose — test robustness, not predict.

2

Scan

What forces outside our control could reshape the threat?

→ A horizon scan of contextual driving forces (outside-in).

3

Build

What plausible, precedent-free futures should we inhabit?

→ A small set of distinct scenario worlds — no probabilities.

4

Windtunnel

Which of the plan’s assumptions hold, and which break?

→ Each assumption tested against each world; robustness verdict.

5

Use

What changes in the plan because of what broke?

→ Findings fed into the plan review; assumptions re-owned.

The TUNA lens

Every scenario is characterised by how much of each TUNA condition it presents. This lens — not likelihood×impact — is how novel threats are handled.

Turbulence

the pace and force of change in the environment

Uncertainty

direction that cannot be reliably probabilised

Novelty

no reference class — prior experience misleads

Ambiguity

the same signal is read in genuinely different ways

We do not put probabilities on scenarios. A genuinely novel (N-dominant) threat has no reference class, so forcing a likelihood turns foresight back into forecasting. Likelihood×impact is kept for known, reference-class risks; novel threats are explored through TUNA and scenario worlds.

The two structures below support the process above: a tabletop lifecycle for running each scenario, and the ten capability dimensions each scenario stresses.

Exercise lifecycle

1

Scope & Objectives

Define what the exercise must test and who must be in the room.

Clear objectivesNamed participants and rolesSuccess criteria
2

Scenario Design

Build a plausible scenario with a timeline of injects and decision points.

Situation manualInject timelineDecision pointsFacilitator guide
3

Conduct

Facilitate structured discussion as injects escalate the situation.

Recorded decisionsObserved friction pointsAssumptions surfaced
4

After-Action Review

Convert observations into what worked, what did not and why.

After-action reportPrioritised findingsRoot causes
5

Improvement Plan

Assign owners and deadlines so findings change real capability.

Corrective actionsOwners and datesRe-test schedule

Ten capability dimensions

Shared with the Global Pandemic Preparedness Benchmark — so a scenario's capability stress maps directly onto benchmarked national scores.

01Pathogen Scope

Breadth of pathogen types and transmission routes covered.

02Surveillance Systems

Genomic, wastewater and real-time signal detection.

03Rapid Response

Speed to scale testing, tracing and countermeasures.

04Manufacturing Capacity

Domestic production and supply-chain security.

05Governance Structure

Command chains, coordination and clear authority.

06Health Equity

Protection of vulnerable and disadvantaged populations.

07One Health

Integration of human, animal and environmental health.

08Legislative Framework

Legal authorities, emergency powers and accountability.

09Transparency

Public reporting, candour and trust.

10Investment Scale

Sustained funding relative to need.