Relevance. The issues of municipal governance efficiency are becoming especially important in the context of increasing institutional and demographic polarization of Russian regions. Sociological surveys organized on a regular basis provide a unique empirical basis for monitoring and analyzing public assessment of the work of regional and local government bodies. The research problem is to develop and test tools that allow identifying stable vectors of population dissatisfaction as indicators of regional governance based on long-term sociological measurement data. Methods. The study is based on the author's methodology for vector assessment of dissatisfaction, which includes a dynamic analysis of a representative database of annual surveys of the population of the Chelyabinsk region for 2017-2024. The methods of data normalization, visualization using radar diagrams, hierarchical clustering of municipalities and analysis of changes in the vector of public priorities were applied. Analytical processing was carried out in the Python environment using the pandas, matplotlib, scikit-learn libraries. Research results. The dominant areas of population dissatisfaction were established. These areas had remained consistent over an eight-year period and included housing and communal services, healthcare and transport accessibility. Periods of aggravation of social expectations associated with specific management cycles and crises were also identified. As a result of cluster analysis, types of municipalities by the level and structure of dissatisfaction were identified, including persistently problematic territories and territories with positive dynamics of public assessment. Conclusions. The methodology presented in the article allows us to identify territorial and typological differences in the public assessment of the effectiveness of regional and local governance, as well as the dynamics of social expectations that are transformed under the influence of management decisions. Vectors of population dissatisfaction can be interpreted as sensitive indicators of local development applicable in the system of sociological support of regional governance.