This paper aims to provide a comprehensive prediction of the future development of small entities, organizations, regions, countries, and other complex systems. It employs a multi-indicator predictive analysis grounded in a thorough evaluation of the historical development of the subject system, thereby offering data support for forecasting its future trajectory. Given the inherent uncertainty surrounding future developments, we categorize potential outcomes into five scenarios: "super optimistic," "optimistic," "average," "pessimistic," and "super pessimistic." These scenarios serve as a foundation for predicting short-term developmental prospects and for constructing a corresponding evaluation method. To assign weights to the indicators, we propose a design methodology that prioritizes the overall future development of the system. Recognizing the uncertain nature of future developments, we integrate a stochastic aggregation method into the prediction model, utilizing a probabilistic ranking approach to characterize the potential future developmental levels of the evaluated entity. Finally, we apply this methodology to assess the future development potential of middle managers within organizations. The effectiveness of our approach is validated through comparative analysis with existing methods, highlighting the distinctive features of our proposed technique. This study offers methodological support for the comprehensive prediction of future developments in complex systems and provides actionable insights, grounded in historical data, for system planning and resource allocation.