Compare Studies in an Evidence Matrix
Compare selected papers in an evidence matrix, inspect the source behind each finding, and draft a literature review with citations kept beside the manuscript.
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Rivul AI can turn selected library papers into an evidence matrix and a draft, while keeping the underlying records available for your review.
Why Compare Papers Before Drafting
Useful literature review software should preserve the path from paper to finding to claim to citation. A one-shot generated summary hides that path. Rivul AI separates collection, comparison, synthesis, and writing so you can inspect the evidence before accepting the prose.
Compare papers consistently
Use an evidence matrix to place findings, methods, and measures beside each other instead of relying on memory across open tabs.
See gaps before drafting
Group claims and sources to reveal missing evidence, conflicting results, and areas where the library is too thin to support a conclusion.
Draft with traceability
Create a Related Work starting point from selected papers, then inspect and revise it with the references still attached.
Workflow
Start with the assignment
Turn the brief into a focused question. Check the required source types, length, citation style, and your course's AI rules, then collect relevant papers.
Compare and outline
Record methods, findings, limitations, and source passages in an evidence matrix. Group related findings into themes and use those themes as your outline.
Compose and check
Build each paragraph around a point, compare the relevant studies, and explain what the evidence means for your question. Verify the citations and revise the wording yourself.
How does a source become a review paragraph?
Start with a focused review question and an explicit set of papers. Complete one evidence row at a time before asking for a synthesis. Recording what is missing is as useful as recording a finding: a blank sample size should remain unknown until you check the methods section.
Illustrative walkthrough · prompts and review checklist, not a live AI answer
Build an evidence row
For each selected paper, record the method, sample, main finding, limitation, and the passage that supports each entry. Mark information that is not reported.
Use the same fields for every paper so differences in method and evidence remain visible.
Keep the evidence traceable
- Record the paper’s title, year, and DOI or stable identifier.
- Pair each finding with its page or section and exact wording.
- Keep author-reported limitations separate from your assessment.
- Group comparable studies by claim before drafting a paragraph.
Turn the matrix into an outline
Name a theme for each group of comparable findings. Under each theme, note agreement, differences in methods, and unresolved questions. Draft around those comparisons rather than writing one summary per paper. Recheck every citation after revising the argument; a reference can be correctly formatted while supporting a different claim.
Use the Research notebook findings table to follow the method. Formal systematic reviews also need an appropriate protocol, screening process, and reporting standard; see the PRISMA reporting guidance.
A Generated Review Is Not a Systematic Review
Rivul AI does not replace a documented search strategy, screening protocol, risk-of-bias assessment, or human interpretation. It helps with the working materials and writing layer; formal review methods still need to be designed and reported by the researcher.
Frequently Asked Questions
Can undergraduates use Rivul AI for a literature review?
Yes. You can use it to find papers, understand sources, and organize evidence for coursework, a dissertation, or a final-year project. Follow your assignment brief and your instructor's rules on AI assistance. Manuscript writing, citations, and export are included free.
How do I structure my first literature review?
Introduce the question and scope, organize the body around themes or disagreements across studies, and finish with what the evidence establishes and what remains unresolved. Use your course's required structure where one is provided. The linked evidence matrix guide includes a starter outline and a paragraph example.
Can AI write a literature review?
AI can help organize sources and draft a starting point, but a defensible literature review requires a researcher to choose the corpus, evaluate study quality, resolve disagreements, and verify every claim.
How does Rivul AI help compare studies?
Rivul AI can build an evidence matrix from selected papers so methods, findings, and measures can be reviewed side by side.
What should literature review software help with?
The right tool depends on the stage. Discovery tools help expand a corpus, systematic-review platforms manage screening and review governance, reference managers organize citations, and Rivul AI focuses on comparing selected papers, tracing evidence, and drafting the manuscript.
Is Rivul AI systematic review software?
No. Rivul AI can support reading, evidence organization, and writing, but it does not replace protocol registration, database-specific search reporting, independent dual screening, formal risk-of-bias assessment, or meta-analysis.
How does Rivul AI compare to tools like Elicit, SciSpace, or Consensus?
Elicit, SciSpace, and Consensus each focus on search, extraction, or answer summaries (check each tool for its current features); Rivul AI focuses on the evidence matrix and the manuscript. You can compare claim, method, and limitation sentences across studies in an evidence matrix and draft literature reviews with citations resolved from scholarly records, exported to Word or LaTeX.
Can I export the literature review?
Yes. Every account can export the manuscript to Word, LaTeX, or Markdown with its bibliography, at no cost.