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Foresight Scenarios Toolkit

by Foresight Scenarios Toolkit

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What Foresight Scenarios Toolkit is

Foresight Scenarios Toolkit is a free, web-accessible project for scenario planning, uncertainty analysis, and decisions under ambiguity. Its method moves from drivers and uncertainties to scenarios, indicators, and decisions. Users can build 2×2 scenario matrices and develop four narrative futures, then monitor early warning indicators with thresholds and sources. A supplied script generates an indicator register. Decision methods support strategy stress tests, robust moves, and contingency plans. Workshop materials include a facilitation guide and an adaptation guide for applying the method in other domains. The suggested rhythm uses weekly 30-minute indicator scans and monthly probability reviews. The repository contains a worked AI governance example covering 2024–2030 with four scenarios, indicators, scans, and decision implications. Named users include strategy leaders, risk managers, policy advocates, startup founders, and foresight practitioners. A live browser demo requires no installation or dependencies. The MIT license permits use, modification, and distribution for any purpose.

Who it suits

It suits strategy leaders, risk managers, policy advocates, startup founders, and foresight practitioners. The toolkit also supports strategic planning, investment decisions, policy advocacy, risk management, and horizon scanning.

What it does well

  • Free web demo requires no installation
  • Builds 2×2 matrices and four futures
  • Includes indicator thresholds and register generation
  • Supports stress tests and contingency planning
  • MIT license permits modification and distribution

What to know first

  • Local use requires cloning the repository and running Python scripts
  • No specific security commitments are listed
  • No specific support commitments are listed
  • Browser access depends on the linked demo

Verdict

Foresight Scenarios Toolkit provides a structured path from uncertainty mapping to monitored scenarios and decisions. Its free MIT-licensed materials combine browser access, workshop guidance, scripts, and a worked AI governance example.

Facts from Foresight Scenarios Toolkit's own pages

Browser access
The README links to a live browser demo and says no installation or dependencies are required. · github.com, 8 Oct 2026
Data connection level
files · github.com, 24 Sept 2026
Decision support
The toolkit includes methods for stress-testing strategies, identifying robust moves, and preparing contingency plans. · github.com, 8 Oct 2026
Example
The repository includes a worked AI governance example covering 2024–2030, with four scenarios, indicators, weekly scans, and decision implications. · github.com, 8 Oct 2026
Financial modeling
Yes · github.com, 24 Sept 2026
Founded
2024 · github.com, 19 Oct 2026
Free plan
Yes · github.com, 24 Sept 2026
Horizon scanning
The suggested operating rhythm includes weekly 30-minute indicator scans and monthly probability reviews. · github.com, 8 Oct 2026
Included example
The included worked example explores AI governance from 2024 to 2030 through four scenarios. · github.com, 8 Oct 2026
Indicator tracking
It includes early warning indicators with thresholds and sources, plus a script to generate an indicator register. · github.com, 8 Oct 2026
Intended users
The README names strategy leaders, risk managers, policy advocates, startup founders, and foresight practitioners as intended users. · github.com, 8 Oct 2026
License
The project is licensed under MIT, which the README says permits use, modification, and distribution for any purpose. · github.com, 8 Oct 2026
Local use
The README documents cloning the repository and running Python scripts to generate scenario matrices and indicator registers. · github.com, 8 Oct 2026
Maker
The repository credits Del Schlangen as its maker. · github.com, 8 Oct 2026
Method
Its process moves from drivers and uncertainties to scenarios, indicators, and decisions. · github.com, 8 Oct 2026
Modeling scope
multi-domain · github.com, 24 Sept 2026
Purpose
The toolkit provides a structured method for scenario planning, uncertainty analysis, and decision-making under ambiguity. · github.com, 8 Oct 2026
Scenario planning
It helps users build 2×2 scenario matrices and develop four narrative futures. · github.com, 8 Oct 2026
Security and support
The repository pages opened provide no specific security, compliance, or support commitments. · github.com, 8 Oct 2026
Target users
The maker identifies strategy leaders, risk managers, policy advocates, startup founders, and foresight practitioners as intended users. · github.com, 8 Oct 2026
Use cases
The README describes strategic planning, investment decisions, policy advocacy, risk management, and ongoing horizon scanning as use cases. · github.com, 8 Oct 2026
Workshop support
It includes a facilitation guide for running scenario workshops and an adaptation guide for applying the method to other domains. · github.com, 8 Oct 2026

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