Experiment Design overview

On-demand development workflow that takes a scientific hypothesis through the full design process before any wet-lab or computational work begins. Research engineers and computational scientists formulate the research question, conduct a literature review to situate the study, and select the methodology — whether observational, interventional, or in-silico. Statistical power calculations determine sample sizes and analysis plans are pre-registered to prevent outcome bias. Experimental protocols are documented in lab notebooks and reviewed by a domain expert for feasibility and safety. The resulting design package is approved before resource allocation and execution begin, ensuring scientific rigor and reproducibility from the outset.