Mastering Assumptions in Product Development
Learn how to identify, prioritise, and test assumptions in product development using hypothesis-driven methods, experimentation, and critical analysis …
Using hypothesis-driven approaches to test ideas and validate assumptions in agile workflows.
Experimentation is a critical practice in agile workflows, centred on using hypothesis-driven approaches to test ideas and validate assumptions. This concept empowers teams to systematically explore uncertainties, allowing them to make informed decisions based on empirical evidence rather than intuition alone. By fostering a culture of experimentation, organisations can enhance their ability to innovate, adapt, and respond to changing market demands.
The significance of experimentation lies in its capacity to enable teams to deliver value predictably and sustainably. It encourages a mindset where failure is viewed as a learning opportunity, promoting continuous improvement and resilience. Through iterative testing and feedback loops, teams can refine their products and processes, ensuring alignment with customer needs and organisational goals.
Experimentation also supports long-term, systemic change by embedding a scientific approach into the organisational culture. This approach not only enhances collaboration across cross-functional teams but also drives engagement and motivation, as team members see the tangible impact of their contributions. By prioritising experimentation, organisations can cultivate an environment that values learning and adaptability, ultimately leading to more effective and innovative product development. This practice is not merely a tactic but a foundational element that shapes how teams operate and evolve in a complex, fast-paced landscape.
Learn how to identify, prioritise, and test assumptions in product development using hypothesis-driven methods, experimentation, and critical analysis …
Explains how evidence-based portfolio management helps organisations extend agile practices beyond teams, enabling greater responsiveness and improved …
Explains how audience-based deployment and testing in production enable faster feedback, safer rollouts, and higher software quality by targeting real …
Using experimentation and validated learning to drive product decisions.
Transform legacy engineering with a proven, step-by-step approach—learn how to automate, adapt, and build a resilient, modern DevOps culture.
Explores how hypothesis-driven engineering helps teams maximise product value by testing ideas, measuring outcomes, and learning from failure to guide …
Learn how using empirical, data-driven methods can improve decision-making, foster continuous improvement, and build trust through transparent, …
Explains how product goals serve as intermediate strategic goals, guiding agile organisations through uncertainty using experimentation, outcomes, and …
Explains why validating product features is essential, highlighting hypothesis-driven development, data collection, and evidence-based decisions to …
Learn to identify, prioritise, and test assumptions in product development by turning them into hypotheses, managing experimentation costs, and making …
Building the Minimum Viable Product to test ideas and validate market assumptions quickly.
Applying Lean principles to rapidly test and validate business ideas with minimal risk.
Testing product ideas with real users to ensure market fit and customer value.
The most important aspect of Scrum is empiricism—using transparency, inspection, and adaptation to navigate complexity and drive effective product …
Minimising waste while maximising learning in product creation.
Explains how identifying and validating unrealised value, understanding user needs, and rapid feedback loops can enhance product development and …
Learn to integrate modern UX practices into Scrum, enhance team collaboration, and manage user-centric work, with certification included for …
Gain practical skills in product discovery and validation, including experimentation, hypothesis testing, data analysis, and risk control for …
We partner with businesses across diverse industries, including finance, insurance, healthcare, pharmaceuticals, technology, engineering, transportation, hospitality, entertainment, legal, government, and military sectors.
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NIT A/S
Brandes Investment Partners L.P.
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