Intervius

Intervius is a software platform designed to streamline the planning, execution, and analysis of interviews across research, journalism, and market intelligence. It aims to unify workflow from recruitment and scheduling to transcription, coding, and reporting, enabling teams to manage qualitative data in a centralized environment.

Development of Intervius traces back to collaborative efforts between researchers and software developers who sought to reduce friction in qualitative data collection. The platform emphasizes modular components, interoperability with external tools, and a strong focus on data governance to support ethical research practices.

Its core features include interview scheduling and invitation management, secure high-quality recording, automatic transcription and translation, time-stamped annotations, coding and searchable tagging, and visualizations for thematic analysis. It supports multi-user collaboration, role-based access, and audit trails to maintain data provenance.

Intervius is used by universities, think tanks, media organizations, and corporate research teams. It supports mixed-method approaches, including semi-structured interviews, focus groups, and longitudinal studies, and interoperates with data analysis platforms and content management systems through APIs and export formats.

Data privacy and compliance are central to the platform. Intervius provides consent management, anonymization options, configurable retention schedules, and configurable access controls to meet regulatory requirements such as GDPR and industry-specific guidelines.

While valued for its breadth and integration capabilities, users note that the platform can have a steep initial learning curve and varying costs depending on scale and features. Ongoing development focuses on improved automation, accessibility, and multilingual support.