Team Collaboration
Create randomized subsets, divide the workload, and coordinate your review team —
all from within Rayyan's collaborative screening platform.
No credit card required · Free forever for basic use
From randomized subsets to structured team coordination, Rayyan gives you every tool to manage collaborative screening at scale.
Create randomized samples of any size from your dataset to distribute among your review team. Set a percentage or exact article count, and Rayyan generates unbiased subsets — ensuring every collaborator works on a fair, representative portion of the literature.
Divide the workload across your review team using Rayyan's flexible assignment methods. Whether you use sampling, decision filters, or search-based assignments, every team member knows exactly which references to screen — keeping your review on track and on schedule.
Rayyan's decision-based filtering lets each team member focus on articles that still need attention. Filter by 'At Most 1' to see references awaiting a first or second decision, or combine filters to target exactly the right subset — preventing duplicate effort and ensuring complete coverage.
Upload your references as separate search files and assign each file to specific team members. Rayyan lists all uploaded searches under the Search Methods filter, letting collaborators select their assigned file and screen only those references — ideal for large, multi-database reviews.
Use Data Sampling to create training sets that improve Rayyan's prediction classifier. By screening a representative, randomized sample first, you help the AI learn your inclusion criteria faster — resulting in more accurate Compute Ratings across your entire dataset.
Divide and conquer — distribute work efficiently so your team screens in parallel.
Randomized sampling ensures fair, unbiased distribution of references.
Coordinate any number of reviewers with structured assignment methods.
Choose the division method that fits your review protocol and team size.
Strategic sampling improves prediction accuracy across your dataset.
Data Sampling helps your team screen faster, reduce bias, and stay coordinated — no matter how large the dataset.
No credit card required · Free forever for basic use
