Course overview
Senior teams often make long-term commitments while treating uncertainty as a forecasting problem. Interest rates, regulation, technology, geopolitics, climate exposure, customer behaviour and supply conditions can combine in ways that invalidate a single planning assumption. Scenario planning gives leaders a disciplined way to examine several plausible futures, test current strategy against them and make choices that remain credible under different conditions.
This advanced course teaches participants to build decision-focused scenarios using established strategic foresight methods. Participants define focal questions, identify driving forces, assess critical uncertainties, develop scenario logics and write evidence-based scenario narratives. They use horizon scanning, PESTLE, systems mapping, cross-impact analysis, futures wheels, wind-tunnelling and signpost monitoring to test strategies, investment cases, operating models and public-policy options. The course also addresses how to engage executives, challenge assumptions constructively and convert scenario work into governance actions.
Instruction combines short expert briefings with cases drawn from banking, public administration, infrastructure, energy, healthcare, humanitarian operations and multinational business. Participants work throughout the course on a live strategic issue from their own organisation or a realistic case. They leave with a completed scenario planning pack: a focal question, evidence base, uncertainty matrix, scenario set, strategic stress tests, early-warning indicators and an implementation roadmap for leadership review.
The course suits experienced managers, planners, policy professionals and transformation leaders whose decisions have material consequences beyond the annual planning cycle. It is particularly valuable where conventional forecasting is proving insufficient, major investments are under consideration, or leaders need a shared basis for discussing uncertainty without treating any single future as certain.