crisai-research-methodology

Root cause analysis for an experimental flag requires a systematic approach to identify and validate underlying issues. This methodology guides you through defect decomposition and live failure sessions to ensure thorough investigation before proposing a fix.

Hypothesis testing requires predicting outcomes before running tests, focusing on trace events and gate outcomes. You can structure predictions and validate experimental flags against live sessions to ensure reliable results.

Managing an idea lifecycle involves stages like live failure sessions, defect decomposition, and ADR creation. This process transforms a hunch into an accepted result by enforcing structured workflow modes and evidence bar standards.

Validation and retirement of an experiment flag are needed after testing across all execution modes. Experiments should end with flips or documented retirements to ensure new behaviors introduced via opt-in switches are properly concluded.

Using this research methodology requires adherence to structured workflow modes and evidence bar standards within crisAI. Familiarity with hypothesis testing, trace events, and ADR creation is necessary to effectively validate experimental flags.