EXPERIMENTAL DESIGNS

We help researchers plan and optimize experiments so they generate meaningful, reproducible results. This includes writing or refining Standard Operating Procedures (SOPs), defining sample sizes, selecting proper controls, and implementing quality control protocols. The goal is to improve the reliability and efficiency of scientific experiments.

OUR SUPPORT

Why it matters:
Well-structured experimental design reduces the number of required trials, saves time, and minimizes failed studies. Companies that implement proper DOE (design of experiments) see up to 35% faster validation and more reliable regulatory approval outcomes.
Also, 80% of irreproducibility in preclinical studies can be traced to poor experimental planning.

Source: NIH, Improving Reproducibility in Biomedical Research, 2020

WHAT WE DO

A great experiment begins long before the data collection. We work with clients to design scientifically sound, statistically powered experiments that deliver meaningful and reproducible results.

Whether you’re developing a new product, testing a hypothesis, or validating a prototype, we help you refine your objectives, control for confounding variables, and select the right methods.

Our expertise ensures that every experiment answers a real question and produces results you can trust — saving time, reducing cost, and improving credibility.

WHERE WE WORK


Our design support is widely used across MedTech (e.g. validation studies for diagnostics and wearables), BioTech(screening assays and pilot tests), Sport Sciences (performance trials and injury prevention studies), and Physics-based Modelling (simulation validation and calibration).

Whatever the domain, a solid experimental foundation is critical — and we’re here to build it with you.