Samplicus™
AI-assisted sample size guidance with methodology-ready justification
AI-Assisted. Researcher-Led.
Learn moreThis tool provides: structured sample size estimates with transparent assumptions, methodology options, supporting references, and a verification checklist — as a starting point for your own justification. Your role: verify all assumptions against your specific study context, consult your supervisor or statistician, and independently justify your final sample size decision in your methodology chapter. Always follow your institution’s AI-use and disclosure policies.
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Samplicus™ is available to paid Commacad learners. Log in to your portal to access this tool.
Go to Learner PortalHow It Works
Three steps to AI-assisted, structured sample size guidance — with transparent assumptions for you to evaluate and adapt.
01
Describe your study
Enter your research objective and select your study type and sampling approach — the three required fields. Samplicus™ uses this to infer your study context and sample size logic.
02
Refine with optional details
Optionally provide population size, response rate, number of groups or predictors, confidence level, margin of error, effect size, and previous study notes to improve recommendation precision.
03
Review your sample size guidance
Receive a structured report with a suggested sample size range, methodology options, assumptions table, justification paragraph, supporting references, and a researcher verification checklist — to adapt and justify in your own context.