Working effectively with large, existing software systems requires strong comprehension skills, yet most graduates enter the industry with little preparation for this challenge. We report early results from a pilot intervention integrated into a SaaS company's onboarding program: a five-session course introducing systems thinking and Labelled Transition System (LTS) modelling. Participants articulated their understanding of product behaviour using a structured template and completed matched pre- and post-assessments. Of 35 new hires, 31 provided paired records for analysis. Across the full cohort, gains were small and not statistically significant. However, participants below the median on the pre-test improved by 15 percentage points on average (statistically significant), while those above the median regressed slightly (not statistically significant). Course feedback indicated high engagement and perceived applicability. These results suggest that short, modelling-focused onboarding interventions can accelerate comprehension for less-prepared new hires. At the same time, they point to the need for differentiated pathways for stronger participants, and to the potential for companies to adopt such interventions at scale as a low-cost complement to existing onboarding.

翻译：高效处理大型现有软件系统需要强大的理解能力，然而大多数毕业生进入行业时对此挑战准备不足。我们报告了一项融入SaaS公司入职培训的试点干预措施的初步结果：这是一个包含五个课时的课程，介绍了系统思维和标记转移系统（LTS）建模。参与者使用结构化模板阐述他们对产品行为的理解，并完成了匹配的前后测评。在35名新员工中，有31人提供了配对记录用于分析。在整个队列中，能力提升幅度较小且未达到统计显著性。然而，前测成绩低于中位数的参与者平均提高了15个百分点（具有统计显著性），而高于中位数的参与者则略有退步（未达到统计显著性）。课程反馈显示出较高的参与度和感知适用性。这些结果表明，短期、以建模为重点的入职干预措施可以加速准备不足的新员工的理解能力提升。同时，它们也指出了为能力较强的参与者提供差异化培养路径的必要性，以及企业大规模采用此类干预措施作为现有入职培训低成本补充的潜力。