一句话：提出正在构建的 Next Level 成熟度模型，以绩效指标支持按需软件开发团队的可度量演化。
本文介绍一项博士研究的初期阶段，提出 Next Level 成熟度模型，旨在通过绩效指标支持软件团队演化。模型源于 FPFtech 的实际需求：在按需软件开发环境中，以情境化、可度量的方式理解团队如何演化，并平衡敏捷、业务价值与技术可持续性。人员与流程分析师通过结合定性反思与定量结构的工作坊协作构建指标，将其归入业务/效能、流程/效率、文化/人员、技术/质量四个维度。数据收集借鉴 Spotify Squad Health Check，并适配组织的社会技术情境。与 CMMI、MPS.Br 等规范性框架不同，Next Level 不追求认证，而提供基于可度量结果的演化路径。模型已应用于 14 个软件团队，形成整合仪表盘和周期性监控的行动计划。当前研究目标是从理论上巩固经验、与现有框架比较，并为其更广泛推广（包括人工智能的使用）建立科学基础。
This paper presents the initial stages of a doctoral research project that proposes Next Level, a maturity model under development aimed at supporting the evolution of software teams through performance-based indicators. The model emerged from a practical need identified at Fundação Paulo Feitoza (FPFtech): to understand, in a contextual and measurable way, how teams evolve in an on-demand software development environment—distinct from digital product companies—while balancing agility, business value, and technical sustainability. The model was collaboratively constructed by People and Process (PP) analysts through workshops that combined qualitative reflection and quantitative structure. The resulting indicators were grouped into four dimensions: Business/Efficacy, Process/Efficiency, Culture/People, and Technical/Quality. Data collection followed a dynamic inspired by the Spotify Squad Health Check but adapted to the organization’s socio-technical context. Unlike prescriptive frameworks such as CMMI and MPS.Br, Next Level does not aim at certification; instead, it provides an evolutionary path grounded in measurable outcomes. The model was applied to 14 software teams, producing consolidated dashboards and action plans monitored cyclically. The current research goal is to consolidate this experience theoretically, compare it with existing frameworks, and establish a scientific foundation for its broader generalization, including the use of artificial intelligence.