Course overview
Strategic plans often assume that market conditions, technologies, regulations and stakeholder expectations will remain broadly stable. When those assumptions fail, leaders may commit capital, set policy or build capabilities against a future that no longer fits. Strategic foresight provides a disciplined way to examine multiple plausible futures, identify early signals of change and test strategic choices before commitments become difficult to reverse.
This advanced course teaches participants to run a practical foresight process linked to real decisions. Participants use horizon scanning to identify trends, weak signals and emerging issues; distinguish predetermined elements from critical uncertainties; develop credible scenario sets; and assess implications for strategy, operating models, investment priorities and risk exposure. The course also covers systems methods, such as Futures Wheels and Causal Layered Analysis, to examine second-order effects and underlying assumptions. Participants learn to convert scenarios into strategic options, signposts, contingency triggers and backcasting roadmaps.
Teaching combines focused instructor briefings, sector-based cases, facilitated group analysis, scenario-building simulations and structured application planning. Cases may involve banking regulation, public-sector service demand, energy transition, supply-chain disruption, humanitarian operations or technology adoption. Participants leave with a decision-linked strategic foresight pack: a defined focal question, scanning framework, driver map, scenario architecture, strategic option assessment, indicator set and 12-month implementation plan. The five-day course is delivered in a classroom in more than 50 cities or live online, with approximately 6.5 contact hours each day. Participants receive a certificate of completion.
The course suits senior managers and specialists who influence strategy, policy, investment, innovation, risk or long-range planning. It is particularly relevant where decisions have long lead times, material uncertainty or significant public, financial or operational consequences.


