<p>Global changes are forcing forest management toward more resilient and more structurally complex forests, thereby creating a more attractive habitat for their associated biodiversity. However, the assessment of forest structural complexity and its relation to biodiversity is challenging. In this work, we applied the structural complexity index (SCI), which is designed for forest managers to quickly and easily assess structural complexity. Studies comparing the predictive value of this index with taxonomic biodiversity monitoring are rare. Herein, we focus on wild pollinators, which could potentially benefit from this shift toward more structurally complex forests. We used elevated pan traps in 19 forest plots varying in structural complexity and dominant tree species to address the following aims: First, we investigated how predictive the SCI is for wild bee and syrphid abundance and diversity. Second, we studied their communities and how these could be shaped by the SCI. We found that the SCI was not predictive for either the abundance or diversity. We found that some tree species exhibit effects on abundance and diversity, stressing the importance of maintaining multiple tree species. However, no differences between wild pollinator communities among different forest types and SCI levels were observed. Our results show that tools such as the SCI, which allows forest managers to quickly assess the potential biodiversity of forest stands, are not necessarily predictive for each taxonomic group. However, combining collection methods across multiple years and taxonomic groups should provide additional insight for an overall assessment of the predictive value of the SCI for pollinators in forests.</p>