A comprehensive platform for managing randomized controlled trial field operations.
From study design and power calculations through randomization, data collection monitoring, quality control, analysis, and reporting — all in one integrated web-based platform.
Access the ToolkitRCT Field Flow provides intuitive interfaces and automated workflows that maintain research rigor while streamlining operations from initial design through final analysis.
Seed-based randomization with downloadable replication code, complete audit trails, and Python/Stata code generation ready for pre-registration and publication.
Modules work seamlessly together with automatic data flow from planning through field operations to final analysis and reporting.
Built on best practices from the Abdul Latif Jameel Poverty Action Lab, ensuring rigorous research methods accessible to all.
Nine integrated modules covering every phase of your RCT field operations.
Study planning hub for documenting research design, intervention logic, and preparation for power calculations and randomization.
Statistical power analysis and sample size determination for continuous and binary outcomes. Support for individual and cluster randomization with ICC calculations and interactive power curves.
Treatment assignment with complete transparency using simple random, stratified, cluster, or stratified-cluster methods. Includes balance diagnostics and rerandomization optimization.
Distribute survey cases to enumerator teams with configurable rules, stratified assignment, quota management, and direct SurveyCTO API upload.
Automated high-frequency data quality validation including outlier detection, duration checks, duplicate identification, and intervention fidelity verification for real-time fieldwork monitoring.
Real-time field operations tracking with submissions per enumerator, survey duration metrics, progress by treatment arm, and timeline projections with supervisor roll-ups.
Sample cases for quality verification using stratified random sampling with risk scoring, high-risk quota oversampling, and visual risk distributions.
Statistical analysis of RCT outcomes including treatment effects, heterogeneity analysis with forest plots, balance verification, and attrition analysis.
Automated summary reports combining monitoring and quality data with treatment arm progress, quality issue summaries, timeline projections, and key metrics dashboards.
Modules connect seamlessly to support your entire RCT lifecycle.
RCT Design + Power Calculations determine study requirements and sample size needs.
Randomization assigns treatments, then Case Assignment distributes work to field teams.
Monitoring Dashboard tracks progress while Quality Checks flag issues in real-time.
Analysis & Results for findings, Report Generation for comprehensive documentation.
Built for researchers, by researchers — with a focus on rigor, transparency, and usability.
Every operation is documented with complete transparency. Seed-based randomization ensures exact reproducibility, and downloadable Python and Stata code makes all procedures replicable for pre-registration and publication.
Direct API integration with SurveyCTO for seamless data flow. Upload case assignments, pull real-time survey data for monitoring, and automate quality checks without manual data transfers.
Choose between interactive UI forms with validation (recommended for most users) or YAML configuration files for automation pipelines and batch processing.
Built-in explanations of power concepts, randomization methods, and quality control approaches help teams understand not just how to use the tools, but why specific methods are appropriate.
Experience the RCT Field Flow toolkit firsthand with our interactive web application.
Access the full toolkit to explore all modules, run power calculations, design randomization schemes, and manage your RCT field operations.
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