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Advance Product Management

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Advance Product Management

Advance Product Management

Duration
45 Hours

Course Description


            Develop and justify a business case to support product recommendations. Present product recommendations using data insights and data visualisation techniques. Investigate and suggest a process to generate ideas, gather feedback and ideate product solutions with stakeholders ...

Course Outline For Advance Product Management

1. Product leadership and strategy

  • Defining and articulating a compelling product vision and mission: This involves understanding how the product fits into the overall business strategy and how to inspire teams around a shared goal.
  • Developing and executing product strategy: This includes market research and analysis to identify opportunities and threats, as well as developing a roadmap that outlines major initiatives and timelines.
  • Aligning product strategy with overall business objectives: This ensures that product development efforts support the company's long-term goals and contribute to its financial success.
  • Leading product organizations and building a product culture: This involves fostering collaboration across teams, providing mentorship and guidance, and creating an environment that encourages innovation and continuous learning. 

2. Advanced product lifecycle management

  • Deep understanding of the product lifecycle stages: This includes conceptualization, development, introduction, growth, maturity, and decline.
  • Strategic management of product lines and portfolios: This involves evaluating the performance of multiple products, prioritizing investments, and making decisions about product development, enhancement, and retirement.
  • Handling challenges across the lifecycle: This includes identifying and mitigating risks, managing change orders effectively, and optimizing product performance at each stage. 

3. Data-driven decision-making and analytics

  • Leveraging data and analytics for strategic decision-making: This includes using key performance indicators (KPIs) and Objectives and Key Results (OKRs) to measure product success and track progress towards goals.
  • Understanding user behavior and market trends through data analysis: This involves interpreting data from various sources, such as user research, market analysis, and product usage metrics.
  • Applying data-driven insights to refine product offerings and optimize performance: This includes using data to identify areas for improvement, prioritize features, and make informed decisions about product direction. 

4. Cross-functional collaboration and leadership

  • Building strong relationships and collaborating effectively with stakeholders: This involves working with engineering, design, marketing, sales, and other teams to ensure alignment and achieve shared objectives.
  • Influencing without direct authority: This requires strong communication skills, the ability to build trust, and the capacity to motivate and guide teams towards a common goal.
  • Fostering innovation and teamwork: This includes creating an environment where ideas are freely exchanged and teams work together to solve problems and develop creative solutions. 

5. Emerging technologies and trends

  • Understanding the impact of AI, Machine Learning, and other emerging technologies on product management: This includes leveraging these technologies to automate tasks, gain insights, personalize experiences, and optimize product performance.
  • Staying up-to-date with the latest trends and best practices in product management: This involves continuous learning and adapting to the evolving landscape of product development.
  • Focusing on sustainability and ethical considerations in product development: This involves designing products that are environmentally responsible and considering the societal impact of new technologies. 
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