This paper addresses the question: How can mission effectiveness be systematically defined or approximated in the absence of customer requirements? Legacy requirements engineering frameworks presuppose customer input to define specifications but leave a gap in the process when stakeholder input is ill-defined or missing. Rapid build and development programs (such as military acquisition, space assets, infrastructure projects, etc.) often see requirement and objective evolutions throughout the proposal process, so a more adaptive method is needed. To address this gap, a structured approach is proposed that decomposes mission intent into mission context, functions, constraints, critical dimensions, effectiveness attributes, and architecture alternatives. This method conducts a mission feasibility assessment, prioritizes mission-critical dimensions using Best-Worst Scaling, and introduces a mission complexity factor to quantitatively understand the impacts of external mission difficulties, technology maturity, evidence and confidence standards, and mission utility. The resulting method provides a traceable basis for deriving Tier 1 and 2 requirements. The approach is structured to support future Unified Architecture Framework (UAF) and Systems Modeling Language (SysML) artifact integration. The proposed framework is demonstrated using a notional close air support mission example.

翻译：本文探讨以下问题：在缺乏客户需求的情况下，如何系统性地定义或近似任务有效性？传统需求工程框架预设客户输入以定义规格，但在利益相关方输入不明确或缺失时，流程中会出现空白。快速构建与开发项目（如军事采办、空间资产、基础设施工程等）在方案论证过程中常面临需求与目标的演变，因此需要更具适应性的方法。为填补这一空白，本文提出一种结构化方法，将任务意图分解为任务背景、功能、约束条件、关键维度、有效性属性及架构备选方案。该方法通过任务可行性评估，运用最佳-最差标度法对任务关键维度进行优先级排序，并引入任务复杂度因子，以量化理解外部任务难度、技术成熟度、证据与置信度标准及任务效用的影响。最终方法为推导第一级与第二级需求提供了可追溯的基础。该结构化设计支持未来与统一架构框架及系统建模语言工件的集成。本文通过一个虚构的近距空中支援任务案例对所提框架进行了验证。