Built for supervising academics

Take the weight off research supervision.

MentorFeed gives lecturers and teaching fellows an AI workspace to review proposals, chapters, ethics applications and theses in minutes — so a heavy supervision load stops taking over the week.

Hours back every week Any discipline Private & self-hosted
Chapter 3 · Methodology
Streaming
Priority 1
State the sampling frame explicitly — who is eligible, and how many you aim to recruit.
Priority 1
Justify thematic analysis over alternatives, given your research questions.
Priority 2
Define abbreviations on first use (RQ, IRB) for the examiner.
feedback_ch3.docxSaved to history

One workspace for every research discipline

Business & ITChemistrySociologyComputer ScienceLawPublic HealthEducationEngineering

From registration to feedback, automatically.

Set each supervisee up once. After that, their drafts flow in from Google Drive and come back as structured feedback — no re-uploading, no copy-paste, no late nights.

01
Set up

Add your supervisees

Add the students you supervise with their field, degree level and thesis title. That's all MentorFeed needs to adapt to each discipline — students never log in here.

02
Connect

Connect their Drive

Point MentorFeed at each student's shared Google Drive folder — read-only. Drafts and cited PDFs sync into their library automatically.

03
Review

MentorFeed reviews

It reads the draft against the student's own sources and the standards of their field — proposal, chapter, ethics form or full thesis.

04
Return

Return the feedback

Prioritised, actionable notes stream in live, download as a formatted Word report, and are saved to the student's progress history.

Hours back

every week, off your plate

Minutes

from draft to structured feedback

Whole cohort

tracked from one dashboard

Every stage of the research journey

One tool from first proposal to final defense — reviewing in each student's own discipline.

Proposals

Aims, questions, methods and gaps — sharpened before the project locks in.

Weekly chapters

Section-by-section feedback on drafts, ranked P1 / P2 so students know what to fix first.

Ethics applications

Consent, data handling and safeguards checked against requirements before submission.

Full thesis

A rubric-based evaluation of the completed thesis, rendered as a table and a report.

Ethics application check

Before a student submits to the ethics committee, MentorFeed flags the gaps reviewers always catch — so the application clears in one pass, not three.

Consent form omits a data-retention period — required; add how long data is kept and when it's destroyed.
No safeguarding plan for the under-18 cohort — describe supervision and withdrawal procedures.
Risk assessment and anonymisation approach are clearly stated.
Evidence-grounded

Citations that are actually supported.

MentorFeed pulls every in-text citation and the claim it's attached to, matches it against the student's own reference library, and checks whether the source really backs the claim — then suggests stronger citations to add.

  • 1 Extract in-text citations and their claims
  • 2 Verify each against the cited source and the literature
  • 3 Flag claims the source doesn't support
  • 4 Suggest citations to add — with the feedback to fix it
Citation check · Literature Review
“Remote work raised productivity by 13% (Bloom, 2015).”
Supported — Bloom (2015) reports a 13% performance gain.
“Gamification always improves learning (Lee, 2019).”
Not supported — Lee (2019) found mixed effects. Soften “always”.
Suggested addition
Hamari et al. (2014) — meta-analysis on when gamification works.
Subject-aware recommendations

Feedback that speaks each field's language.

A methodology chapter in Chemistry is judged on reproducibility and controls; in Law, on doctrinal reasoning; in Business/IT, on constructs and validity. MentorFeed sets the persona and rubric from the student's registered discipline — no prompt engineering required.

Chemistry
Reproducibility, controls, instrumentation
Law
Doctrinal reasoning, authority, structure
Business / IT
Constructs, validity, sampling
Sociology
Positionality, coding, saturation

Made for departments with heavy supervision loads

Small and mid-sized universities use MentorFeed to help their lecturers and teaching fellows supervise more students well — without the workload spiralling.

Roles & privacy

Supervisors see only their own students; admins see the whole department. Every review is logged.

Consistent standards

Every proposal, chapter and thesis is held to the same rubric — new supervisors included.

Faster turnaround

Students iterate in days, not months — freeing supervisors for the mentoring that matters.

Private by design

Your students' data never leaves your walls.

MentorFeed runs entirely on infrastructure you control — so unpublished research and student records stay inside the university, never on someone else's cloud. Nothing to explain to a data-protection committee.

Runs on your hardware

MentorFeed installs on a machine you control. The database and every document live on your infrastructure — not a third-party SaaS.

Private AI option

Pair it with a self-hosted model, so student drafts and feedback are never sent to any external AI provider.

Nothing else exposed

Only the application is reachable, over an encrypted connection. The database is never on the open internet.

You own the data

Full control of records and backups — export or delete anytime. Built to support your GDPR / FERPA obligations.

Supervise more students, without the overload.

Add a supervisee, connect their Drive, and let MentorFeed handle the mechanics of feedback — so you can spend your time on the mentoring that matters.

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