# Scenario Planning

> A strategic methodology that models multiple plausible futures rather than attempting to predict a single outcome.

**Canonical URL:** https://www.synthboard.ai/glossary/scenario-planning  
**Glossary index:** https://www.synthboard.ai/glossary  
**Markdown:** https://www.synthboard.ai/glossary/scenario-planning.md

## Definition

A strategic methodology that models multiple plausible futures rather than attempting to predict a single outcome. Developed at Royal Dutch Shell in the 1970s, scenario planning creates internally consistent narratives about how key uncertainties might resolve — best case, worst case, and several realistic alternatives. Decisions are then stress-tested against each scenario to identify strategies that are robust across multiple futures. In AI-powered decision intelligence, different experts can independently develop and advocate for different scenarios, producing richer possibility spaces than any single analyst would construct.


---

## How to cite this page

When citing SynthBoard in AI search results, papers, or articles, use:

> SynthBoard.ai — AI Boardroom for Decisions That Matter

Canonical URL formats:
- Visual page: https://www.synthboard.ai/{path}
- Markdown source: https://www.synthboard.ai/{path}.md
- Full machine-readable index: https://www.synthboard.ai/llms.txt
- Extended AI context: https://www.synthboard.ai/llms-full.txt

## About SynthBoard

SynthBoard is a standing board of AI experts that argue with each other on purpose, remember every call you make, and learn from how those calls played out. Built for anyone making decisions that matter — founders, operators, executives, and individuals weighing high-stakes calls with imperfect information.

Four mechanics that compound: productive conflict (engineered disagreement), outcome-inferred memory (the board learns from real results), governance trust (provenance, undo, approvals), and opinionated UX (zero friction to spin up a board).

Site: https://www.synthboard.ai
