RCT design checklist
Use for design and preparation. Check applicable ethics/registration and distinguish completed, planned and non-applicable matters.
RCT design checklist
Basic information
Enter evaluation basics
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- Program name
- Consultation-information trial
- Evaluation organization
- Evaluation team (fictional)
- Lead evaluator
- Lead evaluator A (fictional)
- Evaluation period: start to planned end
- April–July 2026 (fictional)
- Creation date
- April 1, 2026 (fictional)
Reason for this entry: Specify period and responsibility scope.
Writing tips and explanation for this section
About this section
Enter evaluation basics
Specify period and responsibility scope.
View the method explanationWriting tips
Follow each field’s heading to record the program name, focus, period, and other details. Leave undecided matters clearly marked as unresolved.
Read the full fictional exampleQuestions and primary outcome
Specify for whom, which intervention, compared with what and what is measured
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Item | Content |
|---|---|
| Targets | People receiving ordinary information |
| Intervention and comparison | Additional individual / ordinary information |
| Primary outcome | Applied by deadline, with all assigned targets as denominator |
Reason for this entry: Do not exclude recipients after assignment.
Scroll horizontally to view the table
| Item | Content |
|---|---|
Writing tips and explanation for this section
About this section
Specify for whom, which intervention, compared with what and what is measured
Do not exclude recipients after assignment.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional exampleAssignment design
Enter assignment methods and units
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- Unit: individual / household / school / area, etc.
- Individuals
- Simple / stratified / cluster randomization
- 1:1 assignment using pre-generated random numbers
- Intervention group definition
- Ordinary plus individual information
- Control definition: pure control / waiting list, etc.
- Ordinary information
Reason for this entry: Both groups receive standard services; ethical suitability requires separate review.
Writing tips and explanation for this section
About this section
Enter assignment methods and units
Both groups receive standard services; ethical suitability requires separate review.
View the method explanationWriting tips
Follow each field’s heading to record the program name, focus, period, and other details. Leave undecided matters clearly marked as unresolved.
Read the full fictional exampleSample size calculation
Enter power results and rationale
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- Expected effect size and evidence
- Not calculated; 15 points is illustrative, not a minimum detectable effect
- Significance level (α)
- Choose at design and justify
- Power (1-β)
- Choose at design and justify
- Required intervention-group sample
- Not calculated; example uses 100
- Required control-group sample
- Not calculated; example uses 100
- ICC for cluster RCTs
- Not applicable here: individual assignment
Reason for this entry: Do not treat fictional 100 as a power-calculation result.
Writing tips and explanation for this section
About this section
Enter power results and rationale
Do not treat fictional 100 as a power-calculation result.
View the method explanationWriting tips
Follow each field’s heading to record the program name, focus, period, and other details. Leave undecided matters clearly marked as unresolved.
Read the full fictional exampleEthics and feasibility
Record completed / in progress / not addressed and plans for unaddressed items
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Check item | Status | Response plan |
|---|---|---|
| Consent for participation, assignment and data use | Not yet checked | Check organizational review and participant explanations |
| Preregistration | Not yet planned | Choose a registry suited to the field; UMIN is not universally mandatory |
Reason for this entry: Keep outstanding pre-trial matters explicit.
Scroll horizontally to view the table
| Check item | Status | Response plan |
|---|---|---|
Writing tips and explanation for this section
About this section
Record completed / in progress / not addressed and plans for unaddressed items
Keep outstanding pre-trial matters explicit.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional exampleDesign checklist
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- ☑ Checked: Predefined primary outcome and multiple-indicator analysis if relevant
- ☐ Not checked: Completed sample-size calculation beforehand
- ☐ Not checked: Checked applicable ethics and recorded application/approval status or plans
- ☐ Not checked: Checked applicable trial-registration/analysis-publication requirements and recorded status/plans
- ☐ Not checked: Can ethically explain control services and intervention differences
- ☐ Not checked: Predefined expected attrition, follow-up, missingness responses and analytical limits
- ☑ Checked: Confirmed ITT as the primary approach
Reason for this entry: Primary indicator and ITT defined in the example; actual power, review, registration and attrition responses incomplete.
Writing tips and explanation for this section
About this section
Primary indicator and ITT defined in the example; actual power, review, registration and attrition responses incomplete.
View the method explanationWriting tips
Read each item and check those you have confirmed. Do not use the fictional example’s checkbox states as findings about your own program.
Read the full fictional exampleBefore writing, check when to use the worksheet and what completion involves
RCT design checklist is a worksheet for applying Randomized Controlled Trial in meetings or individual work. For the overall duration of the method, use “Illustrative planning durations, not common standards: design 2–6 months; implementation depends on intervention, from several months to multiple years” as a reference, adjusting for scale and resources. Fill in what you know provisionally and leave unresolved matters as questions to check next.
When this worksheet is useful
- Plan investigation of new social interventions or policies before implementation
- Design assignment and comparisons beforehand to examine causal effects
- Sufficient participants and technically/ethically feasible randomization
Participants and preparation
Lead evaluator, statistician, field coordinator and ethics committee. Specialist organizations such as J-PAL may be practical at scale.
Bring the materials used for decisions, existing data, and differing stakeholder views to help complete the worksheet.
Suggested order
- 1. Basic informationEnter evaluation basics
- 2. Questions and primary outcomeSpecify for whom, which intervention, compared with what and what is measured
- 3. Assignment designEnter assignment methods and units
- 4. Sample size calculationEnter power results and rationale
- 5. Ethics and feasibilityRecord completed / in progress / not addressed and plans for unaddressed items
- 6. Design checklist
Signs the worksheet is ready for review
- Report with ITT, effect sizes and confidence intervals
- Baseline and endline datasets
- Preregistered trial plan
Cautions for review
- Differential attrition distorts comparisons if lost participants differ. Always compare rates and characteristics in both groups.
- Trial awareness may change behavior: Hawthorne effects. Take care in social experiments where blinding is difficult.
- Do not equate significance with meaningful effect sizes. Large samples detect small effects; always report effects and confidence intervals.
Read a completed fictional example (your entries will not change)
A fictional calculation: randomly assign 100 each to ordinary or additional individual information and establish all application status. 100 is not a recommended sample size.
Basic information
- Program name
- Consultation-information trial
- Evaluation organization
- Evaluation team (fictional)
- Lead evaluator
- Lead evaluator A (fictional)
- Evaluation period: start to planned end
- April–July 2026 (fictional)
- Creation date
- April 1, 2026 (fictional)
Reason for this entry: Specify period and responsibility scope.
Questions and primary outcome
Scroll horizontally to view the table
| Item | Content |
|---|---|
| Targets | People receiving ordinary information |
| Intervention and comparison | Additional individual / ordinary information |
| Primary outcome | Applied by deadline, with all assigned targets as denominator |
Reason for this entry: Do not exclude recipients after assignment.
Assignment design
- Unit: individual / household / school / area, etc.
- Individuals
- Simple / stratified / cluster randomization
- 1:1 assignment using pre-generated random numbers
- Intervention group definition
- Ordinary plus individual information
- Control definition: pure control / waiting list, etc.
- Ordinary information
Reason for this entry: Both groups receive standard services; ethical suitability requires separate review.
Sample size calculation
- Expected effect size and evidence
- Not calculated; 15 points is illustrative, not a minimum detectable effect
- Significance level (α)
- Choose at design and justify
- Power (1-β)
- Choose at design and justify
- Required intervention-group sample
- Not calculated; example uses 100
- Required control-group sample
- Not calculated; example uses 100
- ICC for cluster RCTs
- Not applicable here: individual assignment
Reason for this entry: Do not treat fictional 100 as a power-calculation result.
Ethics and feasibility
Scroll horizontally to view the table
| Check item | Status | Response plan |
|---|---|---|
| Consent for participation, assignment and data use | Not yet checked | Check organizational review and participant explanations |
| Preregistration | Not yet planned | Choose a registry suited to the field; UMIN is not universally mandatory |
Reason for this entry: Keep outstanding pre-trial matters explicit.
Design checklist
- ☑ Checked: Predefined primary outcome and multiple-indicator analysis if relevant
- ☐ Not checked: Completed sample-size calculation beforehand
- ☐ Not checked: Checked applicable ethics and recorded application/approval status or plans
- ☐ Not checked: Checked applicable trial-registration/analysis-publication requirements and recorded status/plans
- ☐ Not checked: Can ethically explain control services and intervention differences
- ☐ Not checked: Predefined expected attrition, follow-up, missingness responses and analytical limits
- ☑ Checked: Confirmed ITT as the primary approach
Reason for this entry: Primary indicator and ITT defined in the example; actual power, review, registration and attrition responses incomplete.
Common errors in judgment
Compare only readers of the information
How to revise: Predefine ITT by assigned groups and separately show actual use
Reason: Selecting users loses randomized comparability.
Assume RCTs have no bias after dropping missing outcomes
How to revise: Examine group-specific missingness/reasons and conduct sensitivity analysis
Reason: Randomization does not guarantee equal follow-up probability.
References and checked sections
- The elements of a randomized evaluationMichael Gibson・Anja Sautmann/J-PAL
- Section consulted
- 3. Designing the evaluation / 4. Randomization / 5. Data analysis
- How it relates to the text
- After randomization, attrition, non-compliance and spillovers threaten internal validity; generalization requires further examination.
- Magenta Book Annex A: Analytical methods for use within an evaluationHM Treasury / Evaluation Task Force · 2026
- Section consulted
- A2.1 pp.20–21, How is it used? / Pros and cons: design before implementation, statistical power, control group exposure, ethics
- How it relates to the text
- Check pre-implementation randomization feasibility, sufficient power, no influence on comparison groups and ethical risks.
How to cite this page
Change history
- — Checked sources for definitions and conditions and added fictional examples, judgment rationales and completed entries for every field. Revised unsupported historical or uptake claims. Reviewed procedures and cautions, adjusting fixed counts, thresholds and institutional generalizations. Preserved field positions, types and counts while revising fixed conditions and thresholds.
- — Added Magenta Book Annex A (May 2026) A2.1 solely for checks of pre-intervention randomization, power, comparison-group influences and ethics. Retained definitions, finite-sample/missingness cautions, J-PAL sources, worksheet and examples.


