Effective experimentation should be integrated early into the product development process rather than being an afterthought post-launch, as it allows for meaningful learnings without the need for significant rewrites. By incorporating experimentation into the initial planning stages, teams can design features with multiple variants and align on success metrics from the start. This approach involves collaboration between engineers and product managers to ensure that experiments are treated as real sprint work, not extra tasks, facilitating better builds and more reliable data. Using tools like LaunchDarkly, teams can seamlessly implement feature flags and track metrics, thus making experimentation an essential part of sprint planning and enhancing visibility across the team. By shifting the focus from merely delivering features to learning from them, teams can foster a product-centric mindset that informs data-driven decision-making.