We're trailing a new AI assistant trained on the full Research Accelerator content library — courses, masterclasses, Q&A archive, and conference/retreat sessions. It's here to help you find answers to your questions and point you to the right courses and resources.
What it can help with
The chatbot can help with questions about qualitative research, mixed methods, statistics, academic writing, productivity, NVivo (and other research software) and AI in research
It's trained to recommend specific Research Accelerator courses based on what you're working on and will point you to relevant masterclasses, retreat sessions, and Live Q&A recordings.
What it isn't
The assistant won't replace personalised support. For specific feedback on your research, thesis, analysis, or anything that needs a real conversation, please contact Lyn directly.
It's also not a substitute for the courses themselves — think of it as a guide to what's available rather than a replacement for the content. Having said that it will provide some short answers to your question (drawn from the video content) and that might be enough for you, without proceeding to the videos.
Privacy and your data
The assistant is built on Chatbase, a third-party AI chatbot platform, and your conversations are processed through their AI systems.
As part of the trial, Lyn may view your interactions with the chatbot — this will help her finetune how the bot responds. Chats are anonymous unless you provide your name.
To protect your privacy and your participants' privacy:
- Don't share anything confidential or private — treat the assistant the same way you'd treat any cloud-based AI tool.
- Don't share identifiable research data — participant quotes, transcripts, names, or anything else that could identify a person.
A note about accuracy
This is a trial version, and we're still refining how the assistant performs. It may occasionally:
- Miss a relevant resource that exists in the library
- Get something slightly wrong e.g. links to courses in the library that don't exist
- Need a clarifying question to give you the best answer
If you spot anything that doesn't look right — a course that doesn't quite fit, a broken link, or an unhelpful answer — please email Lyn at [email protected] so we can improve it. Your feedback directly shapes the final version.
Treat the assistant's answers as a useful starting point rather than the final word, and always sense-check anything important against the actual course content or your own research judgement.
Have a play, ask anything you're curious about, and let us know how you go!