VoxDiscover gives research institutions a scalable, structured way to conduct voice-based qualitative research — across student populations, communities, and study participants — without the logistical overhead of manual interviews.
From student experience research to longitudinal social studies — VoxDiscover scales naturally to academic research needs.
Collect structured voice feedback from hundreds of students simultaneously at key learning milestones. Go beyond ratings to understand the why.
Deploy structured interview protocols at scale. Consistent delivery, automatic transcription, and AI-coded themes — reducing weeks of manual analysis to hours.
Reach alumni, community members, and stakeholders for longitudinal research without the scheduling burden. Voice interviews achieve higher response rates than surveys.
Conduct sensitive, consent-driven voice interviews with patient populations. Multi-language support and adaptive conversation flows maintain research validity.
Identify where students struggle, what motivates them, and what drives dropout — with the depth that changes how institutions design learning.
Internal research for institutional strategy. Understand faculty needs, departmental challenges, and organizational culture — confidentially and at scale.
Work from your existing interview guide or build one with our team. Goal-based flows maintain consistency while allowing natural branching.
Distribute via your student portal, email, LMS, or SMS. Participants engage on any device, on their own schedule.
Each interview adapts to responses — probing for depth where relevant, maintaining protocol consistency across all participants.
Full transcripts, AI-coded themes, sentiment analysis, and structured exports ready for NVivo, ATLAS.ti, SPSS, or your tool of choice.
Every participant receives the same structured protocol — eliminating interviewer bias that affects qualitative research validity.
Industry-leading speech-to-text accuracy across 20+ languages — so your transcripts are research-ready without manual correction.
NLP automatically identifies themes, categories, and sentiment patterns across all interviews — giving you a starting point for deeper analysis.
Export transcripts, coded data, and sentiment scores in formats compatible with standard qualitative and quantitative research tools.
Built with the consent, transparency, and data protection requirements of institutional research ethics boards in mind.
Every interview begins with transparent AI disclosure and explicit consent capture. Opt-out is always available. Consent records are stored and exportable for ethics review.
EU data residency options for European institutions. Full Data Processing Agreements, right to access/deletion/portability, and privacy-by-design architecture.
End-to-end encryption (TLS 1.3) in transit and AES-256 at rest. No voice data used for model training without explicit consent. Regular penetration testing.
AI generates insights and flags themes — but does not make final research determinations. All AI-generated content is clearly labeled and designed to support researcher judgment.
Academic and research pricing available. Contact us to discuss grant-funded packages and multi-department licensing.
Whether you're running a single study or managing institution-wide research — VoxDiscover scales to your methodology, not the other way around.