Abstract: 【Purpose/significance】It is of great significance to explore the evaluation method of data storytelling interpretation effect based on interpretability theory to expand interpretability methods and promote the application of data storytelling.【Method/process】 On the basis of reviewing the interpretability theory, the explanatory role of data storytelling and the evaluation of interpretation effect, a data storytelling interpretation model and a formulaic expression and evaluation index system combined with interpretability results were constructed. Through empirical analysis, semi-quantitative analysis based on questionnaire survey method and quantitative analysis method based on index parameters, this study validates the proposed evaluation scheme, and clarifies the role of data storytell⁃ ing in enhancing the interpretability of results.【Result/conclusion】The results show that presenting the interpretability results in the form of data stories can significantly improve the user′s comprehension and acceptance. This study not only enriches the research in the field of interpretability theory and data storytelling, but also provides valuable guidance for evaluating the effectiveness of model in⁃ terpretation in practice.【Innovation/limitation】The evaluation of the data storytelling interpretation effect provides a new perspective and scheme for measuring indicators such as interpretability and comprehensibility, but the improvement and optimization strategies of the evaluation model need to be further studied.