Research Iteration

Research iteration is the rhythm of good behavioral investigation: you start with a question or hypothesis, design an experiment to test it, analyze the results, and then use what you learned to sharpen your next question or redesign your approach. In practice, this cycle might be tight and fast — a prompt experiment that runs and produces results in hours — or slow and resource-intensive, like a training run that takes weeks. What matters is that each cycle produces learning that genuinely informs the next, rather than repeating the same tests in slightly different forms without cumulative progress. For behavior architects, maintaining a record of what was tried, what worked, and what was learned from what didn’t is what makes iteration cumulative rather than circular.