<p>To improve the scientific basis and rationality of equipment selection and deployment in the slope monitoring schemes, this study proposes a monitoring scheme development framework based on a local slope-stability analysis model, examines the relationship between overall and local slope stability, and evaluates the feasibility and reliability of the resulting scheme. First, a fault tree for slope instability was constructed to prioritize the monitoring variables, and the key monitoring area was then identified by combining the risk-analysis results with the site conditions. Next, a local stability analysis model was developed to assess both the overall stability of the slope and the stability of the key monitoring area; Monitoring equipment was selected through performance, cost-effectiveness, and measurement-repeatability evaluations and was deployed in accordance with the relevant technical standards. Finally, the feasibility and reliability of the proposed scheme were evaluated by comparing it with a conventional experience-based monitoring scheme in an engineering case study. The study shows that: (1) slope risk fault tree analysis allows for rapid identification of priority monitoring areas; (2) Local stability analysis determined that the stability coefficient for the key monitoring area is 0.90, a 22% decrease compared to the overall slope stability coefficient of 1.15; (3) Compared with traditional monitoring schemes, this process-based scheme involves a 66.7% increase in the number of monitoring devices deployed. The comprehensive performance scores of the selected devices all exceed 60% of the total score, with benefit-to-cost ratios all greater than 1.0. The scheme meets accuracy requirements and offers broader monitoring coverage and greater specificity; (4) The results of the study can provide important technical ideas for the development of slope monitoring schemes.</p>