Workshop Recap: Reflections on Qualitative Interviews in Practice

On March 19th, PhD researchers and postdocs from the WI, together with colleagues from partner institutions including DeZIM, FU Berlin, and WBZ, participated in a hands-on workshop on qualitative interviews as a method of data collection. With participants at different stages of their academic careers, the workshop offered a lively and collaborative space to reflect on both the practical challenges and methodological nuances of interview-based research.

The session began with short inputs from Zozan Baran (FU Berlin), Samuel Zewdie Hagos (DeZIM), and Georg von Richthofen (HIIG). Drawing on their own research experiences, they shared insights into what makes qualitative interviews both rewarding and demanding. Meaningful interviews are not only about asking the “right” questions, but also about building trust, remaining reflexive, and approaching the research process with care and attentiveness.

A recurring theme throughout the workshop was positionality: how researchers are perceived, how they position themselves, and how this shapes the interview situation. While shared language or similar backgrounds can help establish rapport, the speakers emphasized that these factors do not erase existing asymmetries. Instead, they highlighted the importance of continuously reflecting on expectations, power dynamics, and vulnerabilities on all sides of the interaction.

This kind of reflection, participants noted, starts well before entering the field. Engaging deeply with theory and existing literature was framed as essential preparation – captured in the idea of approaching interviews with “an open mind, but not an empty head.”

Beyond interview design, the workshop also explored the broader conditions under which interviews take place. Discussions addressed practical considerations such as the choice of setting (online vs. in person) and how each shapes the interaction. Ethical questions also played a central role, particularly when working with sensitive or potentially traumatic topics.

In the moderated discussion that followed, participants connected these themes to their own research projects. Conversations around locality, navigating difficult situations, and managing the emotional demands of working with vulnerable groups led to a rich exchange of perspectives and strategies.

Rather than offering a fixed set of rules, the workshop highlighted the iterative nature of qualitative interviewing: analyze, adapt, and refine. 

Tool Presentation: OpenQDA

OpenQDA is an accessible and easy-to-use alternative to the qualitative data analysis tool MAXQDA, which can often feel complicated, individualized, or expensive. It is being developed by our colleagues at ZeMKI at the University of Bremen. It offers functions similar to MAXQDA, but is free, open-source, web-based, and designed to support researchers through a flexible, collaborative workflow.

Although still in its early alpha phase, OpenQDA already supports core functions of qualitative coding and follows the REFI standard, making it possible to exchange projects with other programs. It enables collaborative workflows by allowing multiple researchers to work on shared projects from different locations, with versioning features that help track changes and maintain transparency. Users can further explore their data through basic visualizations, including distributions, frequencies, and configurable word clouds. In addition, a shared codebook library encourages researchers to exchange codebooks, ideas, and feedback within the growing OpenQDA community. An instructional overview video providing a brief guided tour of these features is available here, and detailed guidelines to using OpenQDA are provided here.

True to the open-source approach, the complete source code has been published on GitHub under the GNU Affero General Public License v3.0, where anyone can explore the project and follow its progress. For example, a recent issue with assigning documents to projects was resolved through close collaboration between users and the software developers, who discussed potential solutions together and then implemented the necessary changes. Other topics still under discussion, such as improving accessibility, are being addressed alongside the development roadmap, which outlines upcoming features and planned improvements.

OpenQDA is designed to support GDPR-compliant data handling, with users retaining full control over their data. As researchers adopt and test the platform, their feedback directly informs its ongoing development, particularly through planned and emerging plug-in mechanisms that extend functionality. Together, these principles position OpenQDA as a community-driven platform that supports qualitative data analysis while inviting researchers to co-create the tools shaping its future.