Connect the dots between this content and their actual job.
Contextualise takes whatever the learner is currently viewing and explains how it actually applies to their specific role, so training stops feeling generic and starts feeling relevant.
Trusted by scaling L&D teams
Three steps. Zero manual mapping.
Admins don't need to tag every piece of content against every role for this to work.
Learner views content
Any piece of content in the library, viewed as normal, no special setup required.
Tap Contextualise
One click asks how this specific content connects to the learner's actual job role.
See the real connection
Thirst AI explains the relevance in terms of what the learner actually does day to day.
Generic training is easy to ignore. Relevant training isn't.
The fastest way to lose a learner is content that feels like it's for someone else's job. Contextualise closes that gap without admins having to manually map every piece of content to every role.
- Uses the learner's actual job role, not a guess
- Explains relevance in terms of real day-to-day tasks
- Works on existing content, nothing needs rewriting
- ✅ Flagged that this learner occasionally covers warehouse shifts
- ✅ Explained the relevance for those specific shifts, not the whole module
- 💡 Reassured them the desk-based parts of the module can be skimmed
Built for learners, makes every admin's content feel personal
Learners
Understand why something matters to your job, not just that you're required to complete it.
Managers
Less pushback on 'why do I need to do this training' from your team.
Admins
Publish once for everyone, Contextualise handles making it feel relevant per role.
"People aren't just being trained anymore — they're taking ownership of their learning. They log into Thirst, explore what's available, and even share what they know with others."
Common questions
Does this require tagging content by role in advance? +
No, it works out the connection at the point the learner asks, using their role on file.
What if someone's role changes? +
It always uses the learner's current role, so the explanation updates automatically.
Can it get someone's role wrong? +
It relies on the role recorded on their profile, if that's out of date, the explanation may be too. Keeping profiles current avoids this.
Does this work for every content type? +
It works best on text and video content where relevance can be explained in context.
Make every piece of content feel like it was written for them
Turn 'why do I need this' into 'oh, that's why', automatically.
