Foresight solutions and Futures Skills

Green Iceberg helps public bodies, agencies and delivery partners anticipate disruption and act early. We use horizon scanning, weak-signal and wild-card analysis, and scenario thinking to strengthen decision-making under uncertainty. We combine evidence, expertise, interaction and creativity to create a robust methods mix—designed for your mandate, resources and decision timelines.

Grounded in the Sustainable Disruptive Growth Model, we translate emerging change into practical metrics across context, people, process and impact—so policies, programmes and investment choices can be tested before implementation. Where needed, we extend this into SMARTER practice by building in evaluation and renewal so teams can learn, update indicators and run the next cycle confidently.

• Horizon scanning and signal systems tailored to your mandate
• Weak signals and wild cards briefs (monthly or quarterly)
• Scenario design and strategy stress-testing
• Futures literacy workshops for leaders and programme teams
• Decision dashboards and learning outcomes embedded in programmes (with early-warning indicators and triggers where relevant)

We begin with the decisions that matter—policy options, funding priorities, capability building, risk and resilience. We then build a structured evidence base: drivers of change, critical uncertainties, scenarios and early-warning indicators. Finally, we integrate foresight into practice through facilitation, training and simple operating routines that teams can maintain independently. Digital tools can accelerate this work, but we prioritise clarity, legitimacy and high-quality facilitation so insights translate into action.

• Scanning taxonomy, signal map and curated watchlists
• A 3–5 scenario set with implications and response options
• Early-warning indicators, triggers and action playbooks
• Facilitator packs and reusable learning modules
• Executive briefings and decision-ready dashboards (plus evaluation prompts and renewal checkpoints, if requested)