RCT Toolkit
Plan, power, and randomize field experiments—with explicit assumptions and reproducible outputs.
RCT design
Build a portable RCT design record that keeps assumptions, implementation decisions, and reproducibility commitments together.
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00 Meta / cover EssentialRationale · 0/7
Identify the study, team, geography, and delivery partners.
01 Problem & policy relevance EssentialRationale · 0/4
State the decision problem and why credible causal evidence is needed.
03 Intervention & implementation EssentialIntervention · 0/7
Describe what is delivered, by whom, to whom, and at what intensity.
04 Study population & sampling EssentialIntervention · 0/5
Define the population, frame, eligibility, and unit of assignment.
05 Outcomes & measurement EssentialIntervention · 0/6
Pre-specify outcomes, timing, instruments, and construction rules.
06 Randomization design EssentialDesign · 0/8
Document assignment, concealment, balance, and contamination safeguards.
07 Power & sample size EssentialDesign · 0/10
Record numeric assumptions and the evidence behind them.
09 Analysis plan EssentialDesign · 0/7
Define estimands, models, missing data, and multiplicity before outcomes are seen.
10 Ethics, risks & approvals EssentialOperations · 0/6
Protect participants and assign ownership for foreseeable risks.
15 Compliance EssentialOutputs · 0/4
Record commitments that make the study auditable and reproducible.
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{
"version": "2.0.0",
"power_sample_size": {
"numeric": {
"alpha": 0.05,
"power": 0.8
}
}
}Methodological reference: the original RCT Field Flow implementation. Validate final study decisions with a statistician and the study protocol.