How Do We Design Better Experiments?

A hands-on guide to experimental design covering variables, controls, sampling, randomization, power, pre-registration, and clear success criteria.

How Do We Design Better Experiments?
Checklist

Pre-experiment readiness checklist. Walk this checklist with your team right before data collection. Each item prevents a common failure mode. Clear primary question: Primary hypothesis and outcome are written and understood by everyone collecting data. Outcome defined exactly: Units, measurement timing, instruments...

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Checklist

Quick experiment design checklist (use right before data collection). Primary hypothesis & outcome written: Primary outcome defined with unit and timing. Success criteria clear: Decision rule or threshold recorded. Sample size considered: Planned sample size and justification noted (or plan to compute it)...

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Assessment

{ "FormType": "InteractiveForm", "Title": "Reproducibility Risk Assessment — Experiment", "IntroductionHtml": " Quick, scored assessment to identify reproducibility risks in your experimental plan. For each item select how well the experiment meets the criterion. Lower total score indicates lower reproducibility risk...

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Checklist

Experiment design and setup checklist

An interactive checklist to confirm an experiment is designed to produce interpretable, reproducible results. Walk through hypothesis, endpoints, controls, sampling and power, protocols, pre-registration, data capture and QC, stopping rules, analysis plans, and compliance. Save answers and notes to record readiness and next steps.

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Checklist

Experiment design & pre-registration checklist

Interactive checklist to design, document, and pre-register robust experiments. Captures the research question, hypothesis, design choices, randomization and blinding, sample-size and power details, analysis plan, success criteria, reproducibility and data-sharing plans, ethics and preregistration status, and sign-off — stored for repeatable organizational memory.

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