Guides ยท Business
A/B Test Sample Size Basics
Plan tests with enough power
Planning A/B tests means estimating baseline metrics, choosing a meaningful detectable effect, and setting significance/power to compute required samples/duration, avoiding peeking and underpowered tests.
- a/b testing
- sample size
- power
- significance
- mde
Define Inputs
Baseline, MDE, alpha, and power; choose primary metric.
Calculate
Use calculators or stats libs; adjust for variance and traffic.
Run Properly
Avoid peeking; ensure duration covers cycles/seasonality.
Keep Exploring
Guides
API SLA Basics
Set clear availability and response SLAs, measure them, and communicate exceptions.
Guides
Budget Variance Analysis Basics
Variance analysis compares budgeted vs actual results to find drivers and actions.
Guides
Cloud Billing Alerts Basics
Create budgets and alerts to catch cloud cost spikes early.
Guides
Cloud Tagging Standards Basics
Define a short tag schema for ownership, cost, and environment across cloud resources.