What problem does it solve?
It prevents flawed scientific research by enforcing methodological rigor across the full lifecycle, from forming a falsifiable hypothesis to designing controlled experiments and preparing analysis and peer-review materials.
Core Features & Use Cases
- Falsifiable hypothesis generation: Structures null/alternative hypotheses with explicit falsifiability and clear independent/dependent/controlled variables to reduce weak study design.
- Experimental design with safeguards: Specifies controls, variables, randomization/blinding approaches, and a sequential workflow that gates execution on power and preregistration readiness.
- Systematic literature review support: Guides PRISMA-style search structure, inclusion/exclusion criteria, and citation tracking so evidence is gathered and reported consistently.
- Ethics and submission preparation: Helps plan data collection protocols and manuscript/peer-review readiness, including ethical review board preparation.
Quick Start
Ask the AI to create a complete research methodology for your study by generating a falsifiable hypothesis, proposing a controlled experimental design, and drafting a preregistered analysis plan.