Every cohort rebuilds the same system. Badly, and alone.
Each incoming student assembles a research practice out of a reference manager, a notes app, a chat window, and advice from whoever is one year ahead. You end up with a different fragile system per student, and nobody sees the cracks until something goes wrong in year four. A department can settle this once.
Attrition is rarely a capability problem.
The students who leave are not, on the whole, the ones who could not do the work. They are the ones who lost momentum somewhere nobody was watching: a literature review that never became a synthesis, a question that drifted for a year, a stretch where the work stopped going anywhere and nothing existed to prove otherwise.
These failures share a property that makes them a program-level issue rather than an individual one, in that they are invisible from the inside, they surface late, and by the time they reach a supervision meeting they cost a lot to fix. Structure is the intervention that works, and structure is exactly what every student is currently improvising.
One practice, learned once.
A common structure across the cohort
Every project has the same spine: sources, notes, questions, models, references, and a record of what was done. Once your students share a vocabulary for their own work, methods teaching stops being retold one office hour at a time, and a second-year can actually help a first-year.
An AI policy you can publish
Most departments have either no position on AI or one nobody can enforce. Quester's boundaries are fixed and written down: no drafting of prose the student will submit, no citations outside their own library, no conclusions the data cannot support, no action without approval, which is something you can hand to a faculty meeting and defend.
Departments, roles, and a roster
Projects group under departments, people are invited with roles, and membership is managed per project. A workspace-level view shows what moved over a period and who was active, which is enough to administer a cohort and, by design, not enough to read anyone's work.
Something they keep
The practice does not expire at the defence and neither does the workspace, which is why Quester's longest-running users finished years ago. A program that hands students a durable research practice has given them more than a subscription.
The failure mode is mandating it.
Tools imposed on doctoral students get performed instead of used: a tidy workspace kept for inspection, and the real work somewhere else. Every program-wide rollout of anything runs that risk, and the way through it has not changed, which is to make the thing genuinely useful to the individual first.
So we would rather start narrow. A methods sequence, one cohort, or a single lab, with the students who opt in. If it holds for a term it spreads on its own and you have evidence instead of a policy, and if it does not hold, you have spent one term finding out.
Worth saying outright: privacy is what makes adoption possible. Students can see that supervisors cannot read their notes or their advisor conversations, and that is precisely why they put real work in. A department view that showed everything would produce a workspace with nothing in it worth seeing.
Flat packs, not seat reconciliation.
Cohorts churn every year, and per-seat accounting turns that into a standing administrative job for someone with better uses for the hour. Department pricing is a flat annual pack sized to a cohort, starting at $3,000/year, so the budget line stays predictable and nobody reconciles anything in March.
It is sales-assisted and not self-serve, because institutional purchases involve IT review, security questions and an approval cycle, and pretending otherwise would waste your time. Expect a conversation about cohort size, how your program advises, and what you would want to see at the end of a pilot term.
If the honest answer is that a handful of your students should just take the individual plan at $15/month, we will say so, because a department deal nobody adopts is worse for us than no deal.
Read what it actually does first.
The manual documents every surface of the product without marketing, including what each one refuses to do. The page for advisors covers what changes about supervision, and the manifesto sets out the position on AI in scholarly work that the whole product is built around.
If those three read like something your program would stand behind, the conversation will be a short one.
Start a conversation.
Department packs begin at $3,000/year. Tell us the size of your cohort and how you advise, and we will tell you honestly whether this fits.
Talk to us