Measuring the Quality of Scenarios Generated using the Simple Scenarios Technique

Dilek Önkal, Mandeep K. Dhami

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter examines scenario quality in a highly uncertain geopolitical context where futures and foresight work carry a special momentum and impact. Using migration as a backdrop, we present a multidimensional investigation of the quality of scenarios generated via the Simple Scenarios Technique (SST). Given its amenability to rapid training and flexibility of use by individuals or groups, the Simple Scenarios Technique is a valuable tool to elicit scenarios and is often employed in defence and security settings. Focusing on completeness, plausibility, relevance, coherence, and transparency as the key evaluation criteria, this work portrays the differences in quality among types of scenarios generated (i.e., best-case, worst-case, and baseline). Relationships with generation order, numbers of drivers used in scenario generation, and the indicators flagged for monitoring are explored. Findings highlight the importance of evaluating scenario quality in building an evidence-based approach to supporting futures thinking and foresight practice.
Original languageEnglish
Title of host publicationImproving and Enhancing Scenario Planning
Subtitle of host publicationFutures Thinking
EditorsMegan M. Crawford, George Wright
Place of PublicationCheltenham
PublisherEdward Elgar
Chapter21
Pages436-458
Number of pages23
Edition1st
ISBN (Electronic)9781035310586
ISBN (Print)9781035310579
DOIs
Publication statusPublished - 13 Feb 2025

Keywords

  • Scenario generation
  • Simple scenarios
  • Scenario quality
  • Intelligence analysis
  • Futures
  • Foresight

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