We respect your research. Anything you submit through the Null Hypothesis Compass remains entirely yours — we do not claim ownership, copyright, publish without permission, or upload your work to public cloud platforms.
Our system only processes your submission to extract structured metadata that helps classify your study and recommend potential publication pathways. This metadata supports our mission to improve the visibility and value of rigorous, unpublished research.
We hope using the Compass will inspire you to further your null results towards publication, and get more visibility for your results.
Answer a series of questions about your study's methodology, design, findings, and context. Our questionnaire adapts based on your responses to gather the most relevant information about your research.
Our privately hosted AI system, based on Meta LLAMA3, analyzes your research using CBMRT's 4-tier classification framework to categorize your findings and recommend an optimized publication strategy.
Our tiered classification framework categorizes negative research findings into four distinct classes, from "Definitive Evidence Benchmarks" (Class 1) to "Preliminary Efforts Requiring Reconstruction" (Class 4).
View Full Classification FrameworkReceive a comprehensive analysis including your study's classification, publication targets, and a draft abstract optimized for negative findings.
Successfully publish your work using our recommendations and submit your DOI to enter our monthly microgrant program.