Capability

Scenario planning that becomes strategy.

Most scenario planning ends in a binder. Dragonfly's scenarios lens fits the method to the question — divergent four-scenario matrices, multi-pathway decision trees, backcasting from a target, and more — then makes the move from scenarios to strategy: the no-regret decisions, the contingent bets, and the signposts each future demands. Built for government strategic offices and long-horizon institutions navigating deep uncertainty.

The problem with most scenario planning

Scenario thinking has been used by organisations like Shell, Cisco, BHP, and the Government of Singapore to navigate deep uncertainty. But too often the scenarios are the deliverable — four vivid stories that never translate into what to actually do.

The gap between scenarios and strategy is where the value leaks out. A set of futures is only useful if it changes a decision.

How Dragonfly does it

The scenarios lens first chooses the right method for the question. When two critical uncertainties dominate, it builds a four-scenario matrix. When the future turns on a sequence of decisions, it maps multiple pathways. When there is a target outcome, it backcasts the routes that reach it — and it can stress failure directly with a pre-mortem, or anchor a 'do nothing' baseline.

Scenarios are built on the analysis beneath them — the actors, drivers, and system dynamics already mapped — not spun from thin air. The lens then makes the move from scenarios to strategy: the no-regret moves that hold across the futures, the contingent bets each one rewards, and the early signposts that tell you which world you are actually entering.

Read: moving from scenarios to strategy

What you get

Board-ready scenarios in the method that fits — matrix, pathways, or backcast — a strategy mapped against them, and a signpost framework for tracking which future is unfolding — every reasoning step visible, every source traceable, delivered in days to weeks rather than months.

Frequently asked

What is scenario planning for government?
Scenario planning builds several rigorous, divergent pictures of how the future could unfold, so a government strategic office can pressure-test plans against more than one expected outcome. Dragonfly adds the step most often missing: translating those scenarios into concrete strategy.
How is AI-assisted scenario planning different from the traditional kind?
The discipline is the same; the speed and reach change. Dragonfly's scenarios lens selects the right method, generates and stress-tests internally consistent futures in days, draws on the drivers and actors already mapped, and keeps every assumption visible — then carries the analysis through to the decisions each future demands.
What scenario methods does Dragonfly use?
Several, chosen to fit the question. A four-scenario matrix when two uncertainties dominate; multi-pathway decision trees when the future turns on a sequence of choices; backcasting when there is a target to reach; plus pre-mortem, wildcard-and-shock, and baseline approaches. The method follows the problem, not a template.
How do you move from scenarios to strategy?
By separating three things: the no-regret moves that make sense across the futures, the contingent bets that only pay off in some, and the signposts that tell you early which future you are entering.

Further reading