Conflict Analysis in EasySLR

Conflict Analysis in EasySLR

The Conflict Analysis feature in EasySLR helps identify patterns in reviewer disagreements during the screening process. It provides data-driven suggestions to refine your protocol and improve consistency across decisions, ultimately reducing conflicts.

Why Use Conflict Analysis?
  • Understand why reviewers disagreed on certain studies
  • Detect ambiguous or loosely defined inclusion/exclusion criteria
  • Improve the clarity and precision of your protocol
  • Reduce the manual effort required to resolve conflicts
  • Strengthen agreement between human reviewers and AI (if used)
When Can I Run Conflict Analysis?
  • Conflict Analysis can be run at Title–Abstract (TiAb) or Full-Text (FT) stages
  • Both reviewers must have completed screening for the selected stage
  • Supports projects with:
    • Only human reviewers
    • AI as one of the reviewers
How to Use Conflict Analysis
  1. Go to your Project
  2. Navigate to the Tools section
  3. Select Conflict Analysis
  4. Click on New Conflict Analysis

  1. Choose the relevant stage: Title–Abstract or Full-Text



  2. Click Analyse Conflicts
The tool will process the records and generate a list of:
  • Results


  • Recommendations to improve protocol clarity and reduce future conflicts


  • Insights into reviewer disagreements


  • Actionables

What To Do Next
  • Review the protocol suggestions and insights
  • Make necessary updates to your Protocol
  • If using AI as a reviewer, rerun AI after making changes to the protocol
  • If reviewers still disagree after updates, discuss internally or escalate unresolved records to the Lead Reviewer

Note: If AI is being used as an assistant, use the AI Conflict Analysis feature to get recommendations on protocol refinements and improve AI performance.

Need Help?
Reach out via the Live Chat option in EasySLR or email us at support@easyslr.com.


    • Related Articles

    • Using Tags in EasySLR

      Tags in EasySLR are a powerful way to categorize, annotate, and organize studies, enabling quick filtering and efficient navigation throughout the review process. They work across screening stages, can be blinded between reviewers, and provide ...

    • Using the Conflict Filter to Resolve Reviewer Disagreements in EasySLR

      1. What is the Conflict Filter? The Conflict Filter helps you identify articles where your decisions differ from those of the other reviewer at either the Title-Abstract or Full-Text stage. It enables unblinding of decisions, allowing reviewers to ...

    • Protocol Text Review & AI Performance Analysis

      EasySLR is designed to help reviewers streamline their workflows and make evidence-based decisions faster. Two powerful features — Protocol Text Review and AI Performance Analysis —ensure your review protocol is aligned, AI-ready, and easy to ...

    • Mini Data Extraction in EasySLR

      The Mini Data Extraction feature in EasySLR allows teams to extract a focused set of predefined fields during the screening process. It's ideal when only high-level or limited data is required before full-scale data extraction begins. How to Set Up ...

    • How to track AI credits usage?

      The Usage feature offers a comprehensive solution for managing your AI credits. It enables you to track and Analyse your credit usage in real-time, providing valuable insights throughout the lifecycle of your projects. Understanding the AI Credit ...