From draft to completion —
a structured research proposal workflow
SRP D&M Assistant helps students write stronger proposals, reviewers evaluate faster with rubric support, administrators monitor pipeline health, and lecturers find suitable matches.
For Students
- Write structured proposals with section guidance
- Receive AI pre-review before submission
- Track proposal status through the workflow
- View reviewer feedback and rubric scores
For Reviewers
- Triage proposals with AI risk indicators
- Evaluate using 8-criterion rubric
- Make accountable decisions with required comments
- Track review queue and deadlines
For Administrators
- Monitor full workflow pipeline health
- Detect bottlenecks and capacity risks
- Manage supervisor assignments
- Access complete system audit log
For Lecturers
- View assigned and suggested proposals
- See explainable match scores with breakdown
- Track supervision load and milestones
- Indicate interest in potential matches
The Challenge
Research proposals need structure, not just templates.
Students struggle to frame clear research problems, align methodology with objectives, and present feasible plans. Reviewers lack structured criteria and spend excessive time on poorly formatted proposals.
SRP D&M Assistant integrates drafting, AI-assisted pre-review, rubric-based human evaluation, explainable supervisor matching, and workflow tracking into a single academic platform.
Platform capabilities
Everything you need to manage research proposals
Proposal Drafting Workspace
Structured 11-section editor with academic guidance, character targets, and inline health checks for each section.
AI Pre-review
Automated advisory analysis of proposal completeness, strengths, and areas for improvement. AI suggests — humans decide.
Rubric-based Human Review
Reviewers evaluate proposals against 8 academic criteria with transparent scoring, AI observations, and reviewer comments.
Explainable Supervisor Matching
Multi-factor matching (topic, expertise, capacity, prior supervision) with transparent score breakdowns and admin approval.
Academic Workflow Tracking
10-stage pipeline from draft through completion with clear stage ownership, transition rules, and milestone tracking.
Admin Operations Dashboard
Real-time view of proposal pipeline, bottlenecks, reviewer workload, lecturer capacity, and system audit log.
Design principles
Built for academic integrity
AI Advisory Only
AI provides suggestions and analysis. It never approves, rejects, or assigns.
Human Final Decision
Every decision requires a named human reviewer with a recorded comment.
Transparent Rubric
All criteria scores and reviewer comments visible to students and administrators.
Audit-friendly Workflow
Every status change and decision is recorded with timestamp and user identity.