Enhancing Strategies Through RCT Analysis
Generating Trustworthy Insights from Randomized Controlled Trials
By adopting rigorous experimental design and statistical analysis as the basis of their RCTs they can derive actionable intelligence from experimental results. This allows them to measure the efficacy of their strategies, programs, or features, while providing—confident, informed—business decisions.
Statswork is a professional provider of RCTs, providing a full complement of trial design, implementation, and reporting on RCT studies. We work with organizations to ensure they capture accurate and high-quality data and credibly translate that data into usable insights to inform evidence-based decision making and measure improvements in outcomes.
Parallel RCTs
Randomized controlled trials where we assign participants to different groups who receive different interventions at the same time to compare between groups on outcomes.
Crossover RCTs
Trials we develop in which participants receive multiple interventions in some type of order, or sequence, allowing each participant to be their own control group.
Cluster RCTs
Trials we conduct by randomizing groups of people to (e.g. schools, clinics, or communities) instead of individuals and allow us to evaluate interventions at a population level.
Factorial RCTs
We can test multiple interventions at the same time in the same trial, while testing both individually, and together on the outcome.
Adaptive RCTs
We use trial designs that are adaptive, which allows for the trial design to change while in trial based on interim findings – thus increasing the value and efficiency of the trial findings.
Industries
Data collection allows sectors to train computer vision models, improve automation, improve diagnostics, ensure safety, and spur innovation via AI applications.
1. Establish Objectives
We clarify the objectives of the study while specifying the interventions and outcomes measured.
2. Design Study
We design a clear study which includes factors including randomization, control groups, and sample selection to produce unconfounded results.
3. Conduct Experiment
We conduct the study by assigning participants to treatment and control groups and systematically following the outcomes over time.
4. Examine Data
We perform statistical analysis to establish the impact of the interventions and significance of differences between groups.
5. Provide Actionable Insights
We offer actionable insights and recommendations to support evidence-based changes to products, marketing, and operations.
An RCT is a scientific study design that randomly assigns participants to treatment and control groups to measure the causal effect of interventions. It provides unbiased, evidence-based results for decision-making.
RCTs help identify which interventions or strategies truly work by providing measurable, reliable insights. This allows for informed decisions in product development, marketing, and operational strategies.
We offer Parallel, Crossover, Cluster, Factorial, and Adaptive RCTs, depending on your research objectives and project requirements.
The timeline varies based on the complexity of the study, sample size, and type of RCT. We provide a detailed timeline during project scoping to ensure clear expectations.
Yes. RCTs are highly effective for testing marketing campaigns, product features, UX changes, or any intervention to understand its real-world impact.
We follow strict protocols for randomization, data collection, and statistical analysis. Each dataset undergoes validation and quality checks to ensure accuracy and reliability.
Absolutely. Our team delivers a detailed report with analysis, interpretation, and actionable recommendations that can directly inform business strategies and decisions.
Yes. We maintain strict confidentiality protocols and ensure that all client data is secure throughout the trial process.
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