Children with autism spectrum disorder (ASD) frequently encounter challenges during routine hearing assessments, particularly in early childhood when behavioral methods such as play audiometry are commonly used. These methods often rely on verbal instructions, sustained attention, and predictable behavioral responses, which may not align with the sensory and communication profiles of children with ASD. As a result, pediatric audiologists must often adapt standard procedures, yet there is limited systematic knowledge regarding the barriers they face and the strategies they employ. This study aims to explore pediatric audiologists’ experiences of testing children with ASD, with a particular focus on identifying challenges, facilitators, and current adaptations in clinical practice. This qualitative sub-study is part of a larger mixed-methods project and focuses on semi-structured interviews with licensed audiologists working in pediatric settings across Sweden. Participants are recruited through professional networks, including the Swedish Audiologist Association and clinical contacts. The study targets audiologists with experience assessing children aged approximately 3.5 to 6 years, an age group typically undergoing play audiometry. Interviews are conducted via secure video conferencing and audio recorded with participant consent. The interview guide is designed to capture in-depth reflections on clinical experiences, including perceived barriers related to communication, attention, sensory sensitivities, and variability in behavioral responses among children with ASD. Participants are also asked to describe strategies and adaptations used to facilitate testing, such as modifications to test protocols, environmental adjustments, and collaboration with caregivers. Additionally, audiologists are invited to reflect on structural and organizational factors that may influence testing outcomes, including time constraints, access to resources, and training. Interviews will be held with 10-15 audiologists. Interviews will be 45-60 minutes long. All interviews will be transcribed using an automatic speech recognition tool, specifically a version of OpenAI's Whisper trained on extensive Swedish-language data. The use of Whisper enables efficient and high-quality transcription while maintaining strict data security. Importantly, the transcription tool is deployed via a secure server and does not upload or share audio data externally, ensuring that sensitive research data are not used for further model training or stored on third-party servers. This approach aligns with ethical requirements for confidentiality and secure data handling in clinical research. Following transcription, qualitative data are analyzed using a combination of inductive and deductive content analysis. Multiple researchers independently code the data to identify key categories and themes, which are then discussed collaboratively until consensus is reached. The analysis focuses on both common patterns and variations in experiences, with particular attention to identifying effective and ineffective strategies for hearing assessment in this population. The findings of this study are expected to provide valuable insights into current clinical practices and highlight areas where existing audiological methods may be insufficient for children with ASD. By systematically documenting audiologists’ experiences and the adaptations they employ, this study will contribute to the development of more inclusive and effective hearing assessment approaches. Ethical approval has been granted for this project (Dr. #2025-02688-01).