Planning and executing effective growth experiments

1. Create an experimentation roadmap: Maintain a roadmap of upcoming tests documenting hypotheses, test leads, timing, scale, and expected impact. This provides visibility into experiment priorities and coordination.
2. Secure adequate resources: Verify your team has the data, engineering, and analysis bandwidth to support planned testing velocity and scale. Underpowered experiments waste effort.
3. Write targeted hypotheses: Sharpen hypotheses by focusing on specific, quantitatively measurable outcomes from high-impact changes tied to business goals. Vague hypotheses lead to muddled insights.
4. Determine sample demographics: Leverage statistical tools and power calculators to define the minimum sample size needed for statistical confidence in results. Overpowered tests limit launched features.
5. Consider external factors: Account for technological, regulatory, seasonal, or other external factors that may sway results for...