About Random & Control Lab
Exploring research-informed approaches to structured randomness in decision making
Exploring Decision-Making Through Structured Chance
Random & Control Lab was founded on the principle that randomness, when properly structured and constrained, can be a valuable tool for thoughtful decision making. We combine behavioral science with practical tools to support individuals and teams in embracing uncertainty while maintaining appropriate boundaries.
Our platform goes beyond simple random generators by incorporating guardrails, tracking psychological patterns, and providing insights that may help users understand their relationship with chance and luck.
Research-Informed Methodology
We believe that the perception of randomness is just as important as randomness itself. Our tools are designed to support users in making fair decisions while tracking how those decisions feel and perform over time. This dual approach—balancing objective randomness with subjective experience—informs our approach to the decision-making space.
Every feature we build draws from behavioral science research, with the goal of creating tools that feel intuitive to use and may support thoughtful decision-making approaches.
Understanding Structured Randomness
Pure randomness can lead to extreme outcomes that may feel unfair or counterproductive. Structured randomness applies constraints and weights to keep random outcomes within acceptable bounds while preserving potential benefits of chance-based decision making: fairness, creativity, and reduced decision fatigue.
Our research-informed approach aims to support users in maintaining trust in the process while exploring new possibilities and considering different decision-making approaches.
Privacy and Ethical Considerations
We understand that decision-making data is deeply personal. Our platform is built with privacy considerations in mind, aiming to keep your experiments, outcomes, and reflections secure and under your control. We do not sell user data or use it for purposes beyond improving our service.
Our ethical framework prioritizes user agency, transparency in our algorithms, and responsible use of behavioral insights to support rather than manipulate decision-making processes.