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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