ResearchOps: Specialized Research Project Management Service
A white-glove research operations service where a dedicated research coordinator (hired and trained by ResearchOps) is embedded part-time with a lab or research group. The coordinator owns organizing papers, tracking submissions, consolidating feedback, managing deadlines, and running weekly sync meetings. Researchers pay a monthly fee; ResearchOps hires, trains, and manages the coordinator. Unlike hiring a full-time admin, labs get fractional (10-20 hrs/week) expert support at lower cost, and ResearchOps handles all HR/training.
28 weeks • 70% confidence
Value Proposition
Removes the cognitive load of project management from researchers entirely. A trained coordinator who understands academic workflows (revision cycles, journal timelines, co-author coordination) handles all the fragmentation. Labs see fewer missed deadlines, faster paper turnaround, and researchers reclaim 3-5 hours/week. No tool adoption friction—the coordinator uses whatever tools exist and creates the system.
Target Audience
Research labs with 4-12 active researchers (PhD students + postdocs + PI); labs with 5+ concurrent papers in flight; PIs who can afford $2-3k/month for operational support
Key Features
- Dedicated research coordinator assigned to lab (10-20 hrs/week)
- Weekly lab sync meeting facilitated by coordinator (agenda, notes, action items)
- Centralized submission tracker (coordinator maintains, lab views via shared doc/dashboard)
- And more, with full implementation detail...
Tech Stack
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Sign up freeOriginal Problem
Researchers struggle to organize and manage multiple concurrent research projects, papers, and deadlines without losing track of progressPhD and MSc researchers juggling multiple papers, experiments, and submissions lack a centralized system to track versions, deadlines, collaborator feedback, and project status. Current solutions (email, spreadsheets, generic project tools) don't understand academic workflows, forcing researchers to waste hours context-switching and manually consolidating information across fragmented tools.
Score: 19.2% • 1 demand signal