Work Smarter webinar: How experimentation-driven strategies transform results

Introduction to experimentation-driven development


The session begins with an overview of shifting from traditional feature development to experimentation-driven development, where each feature is tested before launch to improve decision-making and outcomes.


Data-informed decisions & continuous learning


Embracing experimentation enables us to gather valuable data on the performance of new features, offering insights previously unavailable. This data helps make informed decisions about whether to continue or halt development and foster continuous learning and adaptability throughout the process.


Addressing uncertainty in traditional development


Traditional development often involves making changes without knowing their true impact on conversion rates or revenue. Polly will expose the limitations of this approach, emphasising the unpredictability of outcomes and the need for experimentation to make more informed choices.


Real-world examples from diverse industries


The talk will showcase real examples from brands in various industries, demonstrating how experimentation really impacts the development process. Examples include:

• Unexpected outcomes: Situations where expected results didn’t occur, leading to meaningful new insights.
• Surprising results: Experiments where minor changes led to unexpectedly positive or negative outcomes.
• Avoiding mistakes: Cases where testing prevented costly rollouts of underperforming features.
• Successful wins: Highlighting wins to balance the picture, while reinforcing that the focus is not solely on finding winners.


The importance of embracing failure for faster improvement


Polly will challenge the "show me the winners" mentality and emphasise the value of learning from failures and getting better fasters as a result. Failures often provide the most significant insights, helping to drive improvements and enhance the value of our work.