Define your context.
What timescale and geographic scope are you working within? Be clear about your parameters, as these will inform how you build scenarios. Longer timescales generally mean less accurate scenarios but more sustainability-centric decision-making. Larger geographic scope introduces more complexities but also allows you to consider further-flung impacts, which may be positive or negative.
Identify drivers that will impact various outcomes.
Which factors will determine what the future looks like? Think about a range of influences, including social, technological, economic, environmental, and political aspects. This worksheet may help you organise your ideas.
Consider the best-case situation.
What are positive outcomes from each driver? Think about the future context if everything has gone ‘right’.
Consider the worst-case situation.
What are negative outcomes from each driver? Think about the future context if everything has gone ‘wrong’.
Craft a handful of potential scenarios.
What might the future look like? Combine different ‘best-case’ and ‘worst-case’ features from various drivers to develop 3-5 possible contexts. Tell a brief ‘story’ about what the future looks like in these various situations.
Consider the likelihood of various scenarios.
Which of the possible futures is most likely? If it seems that a particular scenario is particularly probable, it’s important to include it in the next stage of analysis. If something is incredibly unlikely, the utility of extensive analysis based on it diminishes, as does its risk level.
‘Test’ your proposed solution in the most likely scenarios.
Will a proposed solution still be productive in various possible futures? Consider whether the outcomes and results of your proposed solution change, depending on various drivers and features. Does a particular future render your solution useless, or even harmful?
Make any necessary adaptations to your proposed solution.
How can your proposed solution be more ‘future-proof’? Conflict sensitivity and climate sensitivity require paying attention to these contradictions, and working to mitigate potential harms resulting from your efforts. As such, you should consider (1) choosing the solution that fares ‘best’ in the widest range of scenarios, and/or (2) altering your proposed solution if it would create negative consequences in versions of the future that seem quite likely to happen.