How Qualzy is exploring its AI feature future with qualitative research clients
For developers of research technology platforms like Qualzy, there is a bit of a dilemma. Do you dive in and AI enable everything possible, or deploy AI with care to ensure that it speaks directly to the needs of researchers?
Qualzy’s AI features are designed to support and aid users at every step and stage of the qualitative research process:
Designing projects swiftly by moving rapidly from general topic areas to smart introduction content
Building project activities faster with survey starters or structured questions and steps
Moderating more easily via ready-to-tune responsive questions and interaction suggestions
Analysing with support from automating tagging and parsing of responses and references
Reporting with less stress by delivering summaries, suggestions, and ready-to-use research outtakes
Walking through the AI features of our research technology platform
If you want to learn more or see what this looks like, why not watch Paul Kingsley-Smith as he walks a group of qualitative research professionals through each stage. See how he shows on screen just how smart these features are in supporting the research project design and management process and responds to questions from these research tech users.
In it you’ll hear how Qualzy has pioneered AI in research technology but with care – including ensuring data security and compliance with GDPR, being selective in which version of Chat GPT to utilise where, and of course in actively testing whether AI can actually help human researchers, instead of just… well, guessing.