Foresight Frameworks

An overview of the most widely used frameworks in Foresight and strategy.

01 scenario

Scenario planning

Scenario planning is a structured approach to anticipate multiple possible futures. Instead of predicting a single outcome, it encourages organizations to explore several plausible scenarios based on current trends, uncertainties, and key driving forces. By imagining different futures, decision-makers can identify strategies that remain robust under various conditions. This framework helps organizations prepare for surprises and develop flexible responses to change.

Key steps:

Identify critical uncertainties and driving forces.
Analyze implications and risks for each scenario.
Develop strategic options that work across scenarios.

02 scanning

Horizon scanning

Horizon scanning is the systematic examination of potential threats, opportunities, and emerging trends over the medium to long term. It aims to detect weak signals of change early, allowing organizations to anticipate shifts before they become mainstream. This method relies on gathering diverse sources of information, including academic research, technological developments, and social trends.

Key steps:

Monitoring emerging technologies, social changes, and regulatory shifts.
Identifying weak signals that indicate possible future developments.
Filtering and analyzing trends to support strategic foresight.

03 Backcasting

Backcasting

Backcasting starts by defining a desired future state and then works backward to identify the steps needed to reach it. Unlike forecasting, which extrapolates from current trends, backcasting is goal-oriented. It is particularly useful for sustainable development, innovation, or policy design, where a specific vision of the future guides present actions.

Key steps:

Define a clear and desirable future vision.
Map the gap between the present and the desired future.
Identify milestones, policies, or strategies needed to achieve that future.

04 analysis

Trend analysis

Trend analysis examines current patterns and trajectories in technology, society, economics, and politics to infer future developments. By systematically studying past and present trends, organizations can anticipate changes and adjust their strategies. Unlike scenario planning, trend analysis is more linear and relies on data-driven insights, though it can be combined with other frameworks for robustness.

Key steps:

Collect data on relevant trends across sectors.
Evaluate drivers, enablers, and inhibitors of change.
Project trends into the future and assess their potential impact.

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