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We curate most relevant posts about Digital Products & Services on LinkedIn and regularly share key take aways.
This edition provides an extensive overview of modern Product Management practices, with a strong emphasis on the necessity of moving from managing outputs (features) to focusing on measurable business outcomes and value creation. A recurring theme is the implementation and scaling of the Product Operating Model and Product Operations (Product Ops) to formalise systems for strategy, discovery, and execution, ensuring teams work intentionally and are aligned with company goals. Significant attention is paid to the rise of AI in product development, with experts stressing the need for specialised AI product sense, cautioning against relying on AI shortcuts, and advocating for its use to enhance cognitive tasks rather than just automate basic product work. Furthermore, the texts highlight the importance of foundational elements like rigorous product discovery, data-driven decision-making, prioritising technical quality (stability and performance), and effective stakeholder and team management as essential ingredients for long-term product success.
This podcast was created via Google Notebook LM.
By Thomas AllgeyerWe curate most relevant posts about Digital Products & Services on LinkedIn and regularly share key take aways.
This edition provides an extensive overview of modern Product Management practices, with a strong emphasis on the necessity of moving from managing outputs (features) to focusing on measurable business outcomes and value creation. A recurring theme is the implementation and scaling of the Product Operating Model and Product Operations (Product Ops) to formalise systems for strategy, discovery, and execution, ensuring teams work intentionally and are aligned with company goals. Significant attention is paid to the rise of AI in product development, with experts stressing the need for specialised AI product sense, cautioning against relying on AI shortcuts, and advocating for its use to enhance cognitive tasks rather than just automate basic product work. Furthermore, the texts highlight the importance of foundational elements like rigorous product discovery, data-driven decision-making, prioritising technical quality (stability and performance), and effective stakeholder and team management as essential ingredients for long-term product success.
This podcast was created via Google Notebook LM.