FutureLab: Embedding Foresight in an Analyst Workflow

Instytut Zachodni | Strategic Foresight Training & Scenario Building

Challenge

The core challenge was enabling analysts to confidently use foresight tools and incorporate them into their research routines without turning them into a one-off workshop exercise.

This required a process that could:

  • build a shared understanding of what foresight is (and what it is not),
  • strengthen the team’s ability to spot, interpret, and prioritise emerging change,
  • introduce a rigorous way of working with expert judgement while reducing groupthink,
  • produce scenario outputs that are clear, coherent, and useful for analytical writing,
  • define practical ways to embed foresight into the Institute’s ongoing analytical practice.

A regional security policy theme was used as an appropriate, high-relevance case – a demanding testbed that makes methods tangible.

Approach

The programme was designed as “learning by producing”:

1) Foresight fundamentals as a common operating language
We established a shared frame: futures as multiple plausible trajectories, the role of uncertainty, and the difference between tracking change and forecasting outcomes.

2) Horizon Scanning as disciplined attention
Participants practiced identifying early signals of change, mapping patterns, and extracting underlying drivers. The emphasis was on moving from “interesting observations” to well-structured analytical material that can feed briefs and reports.

3) Structured expert judgement (Delphi) as collective intelligence
We introduced the logic of Delphi and ran a simulation focused on the practicalities that decide quality: how to formulate strong statements, how to avoid biased questions, and how to use iteration and feedback to improve clarity rather than amplify consensus.

4) From drivers to critical uncertainties
The team translated scanning insights into the uncertainties that matter most – those that can reshape the field and invalidate default assumptions. We worked on turning “vague unknowns” into clear, contrasting future conditions.

5) Scenario building: constructing distinct, coherent futures
Teams built a scenario framework and developed short scenario narratives. The goal was not storytelling for its own sake, but analytical clarity: assumptions, mechanisms of change, and consequences that can be debated and used.

Outcome

The training delivered both competence and momentum: analysts left with a practical toolkit, shared standards, and first outputs created together.

Outcomes included:

  • a repeatable horizon scanning routine and a structured way to curate signals and drivers,
  • the ability to design and run a Delphi-style expert process at an appropriate scale,
  • a set of scenario logics and short narratives built as an exercise in analytical reasoning under uncertainty,
  • concrete templates and working practices to help foresight become part of ongoing research rather than an occasional “special project”.

Scale

  • Format: two-day intensive training with facilitated team production (not lecture-only).
  • Methods covered end-to-end: scanning → synthesising drivers → structured expert judgement → critical uncertainties → scenarios → workflow integration.
  • Case theme: future regional security policy as a realistic sandbox for applying tools under real-world complexity.