Every Important Decision Depends on Trustworthy Evidence.
High-quality qualitative evidence does not begin during analysis—it begins with the quality of every interview.
QualiVoice is an AI-assisted Qualitative Data Quality Assurance (QDQA) platform designed to help research teams strengthen interview quality through structured quality assurance, evidence-informed assessment, and human-centred decision support. By combining established qualitative research principles with responsible AI, QualiVoice helps organisations build greater confidence in the evidence that informs programmes, policies, and research.
Qualitative interviews play a vital role in public health research, programme evaluations, implementation science, social research, and policy development. Yet one of the most important determinants of evidence quality—the quality of the interview itself—often receives far less systematic attention than transcription, coding, or thematic analysis.
The Overlooked StageAn insightful analysis cannot compensate for an interview that failed to establish rapport, explore key themes, probe effectively, or adhere to the intended research protocol.
QualiVoice was conceived to address this overlooked stage of the qualitative research process by introducing structured, evidence-informed quality assurance into qualitative data collection.
QualiVoice is built on a simple principle: technology should enhance professional judgement, not substitute for it.
Rather than automating qualitative research, QualiVoice assists researchers by identifying potential quality concerns and highlighting opportunities for improvement.
Every assessment provides structured evidence to support informed human review, rather than replacing professional judgement.
Every assessment is designed to strengthen consistency, transparency, and continuous learning while ensuring experienced researchers remain at the centre of every important decision.
QualiVoice helps strengthen one of its most critical stages.
Better interviews create better evidence. Better evidence creates better decisions.
Support systematic, evidence-informed assessment of interview quality across studies, interviewers, and geographical locations.
Encourage greater consistency in qualitative data collection while recognising the flexibility that qualitative research requires.
Provide structured feedback that assists interviewers, supervisors, and quality reviewers in continuous improvement.
Strengthen confidence in qualitative findings through documented quality assurance processes and evidence-informed review.
Identify recurring strengths, challenges, and learning opportunities across interviews to support mentoring, training, and institutional capacity development.
Contribute to more reliable qualitative evidence for research, programme evaluation, implementation science, and policy development.
QualiVoice combines established qualitative research principles with responsible AI to identify potential quality concerns and highlight opportunities for improvement, without ever removing the researcher from the decision.
QualiVoice is designed for organisations where high-quality qualitative evidence matters.
Support methodological rigour across student and faculty research.
Strengthen the qualitative evidence base behind policy development.
Improve the trustworthiness of formative and evaluative research.
Build confidence in evidence that informs programme design.
Strengthen interview quality across field-based research teams.
Promote consistent quality standards across client engagements.
Document quality assurance processes for greater accountability.
Strengthen evidence supporting implementation decisions.
Support rigorous, evidence-informed behavioural insight.
Whether conducting ten interviews or ten thousand, QualiVoice aims to promote consistent quality standards while respecting the expertise of qualitative researchers.
QualiVoice is currently under active development as part of the Rohitah Solutions portfolio. The platform is evolving through an iterative, evidence-informed process that combines practical implementation experience, methodological research, and responsible application of artificial intelligence.
Future development will expand reporting capabilities, collaborative quality review, interoperability with existing qualitative research ecosystems, and continuous organisational learning.
QualiVoice is one of a growing family of solutions developed under Rohitah Solutions. Rohitah Solutions develops Evidence Systems, powered by responsible AI and practical implementation experience, to strengthen data quality, evidence generation, and decision support across research, public health, and development programmes. Every Rohitah Solution is guided by three simple principles:
No. QualiVoice focuses on Qualitative Data Quality Assurance (QDQA). While it may integrate with transcription and qualitative analysis tools, its primary purpose is to strengthen the quality and trustworthiness of qualitative interviews.
No. QualiVoice supports researchers through AI-assisted quality assessment and structured decision support. Human expertise remains central to interpretation, quality review, and final decision-making.
QualiVoice is under active development. The platform is being refined through iterative design, methodological validation, and collaborative engagement with research and implementation partners.
Qualitative interviews are more than conversations. They are the foundation upon which research findings, programme decisions, and public policies are built. QualiVoice exists to help ensure that this foundation is as rigorous, consistent, and trustworthy as possible.
Explore QualiVoiceRohitah Solutions is an Innovation Lab for Evidence Intelligence, developing evidence systems that strengthen data quality, evidence generation, evidence integration, and decision support across research, public health, and development. Powered by responsible AI and grounded in practical implementation experience, each solution addresses a specific challenge while contributing to a shared vision of better evidence and better decisions.