How Do We Design Better Experiments?

Design experiments that teach — not just prove. Most experiments fail to deliver useful learning because they mix unclear goals, weak measurements, and wishful analysis. This resource helps teams design experiments that produce interpretable, reproducible conclusions you can act on — even when time, samples, or budget...

Case study: two small experiments, two different decisions. Here are short, realistic scenarios showing how design choices change with context. Bench lab — limited reagents, high cost per run. Hunger: Decide whether changing buffer composition produces a meaningful activity improvement worth further development...