designing-experiments

To design experiments for a hypothesis, you need to plan 1–3 executable tests that verify or falsify it, considering available tools like code, math, and data, and document clear success criteria for each test.

The best way to structure experiment plans is to append them directly to your hypothesis file in a clear, publishable format, ensuring each test aligns with the refined hypothesis and states defined success criteria.

Yes, you can use code, math, and data tools when planning experiments. The experiment design process explicitly considers these available tools to verify or falsify the defined hypothesis.

Yes, designing experiments requires a pre-existing hypothesis file. The process reads your defined hypothesis, designs 1–3 aligned experiments, and appends the resulting plans back into that same file.

Appending experiment plans to the hypothesis file maintains a cohesive research workflow, keeping the refined hypothesis and its 1–3 verification tests with defined success criteria together in one publishable record.