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Research and QDA
Beyond Metrics: Practical Qualitative Workflows that Scale
Join Fiona Wiltshier, MA (Hons), MSc, NVivo Platinum Certified Trainer at Lumivero, for a practical session on moving from raw qualitative data to clear, defensible insight in collaborative settings. You'll learn how teams organize, code, and compare data at scale while maintaining consistency and transparency across contributors—critical for those operating in regulated or high-stakes contexts.
Webinar speaker
Fiona Wiltshier, MA (Hons), MSc
NVivo Platinum Certified Trainer
Fiona Wiltshier is an experienced qualitative researcher and NVivo expert with over 20 years of experience supporting research across academic, government, and commercial settings. She previously spent nearly a decade at QSR International, the original developer of NVivo, where she helped establish global training programs and consultancy services, and now works as an NVivo consultant with Lumivero through her own company, ConcorsCo.
Fiona has trained thousands of researchers across more than 20 countries, helping them deepen their NVivo knowledge and strengthen project insights. Through ConcorsCo, she delivers NVivo training and coaching to researchers worldwide.
Fiona is currently one of only around 20 NVivo Platinum Certified Trainers globally.
In this webinar, you’ll learn how to:
Structure and manage large volumes of qualitative data across multiple contributors
Track analytical decisions to keep findings credible and actionable across stakeholders
Use NVivo's coding, querying, collaboration, and reporting tools to move efficiently from data to insight—without sacrificing rigor
Lumivero software solutions
Interactive decision visualization for understanding risk dependencies, trade-offs, and impact.
Manage placements, assess outcomes, and ensure student and program success institution-wide.
Analyze and code qualitative data, run queries, and uncover mixed-methods insights with AI-enhanced efficiency.
Code and visualize text, audio, and images with intuitive, collaborative, AI-enhanced analysis tools.
Organize and find references, summarize literature, and outline papers with AI-powered knowledge management.
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