Learn product management using two key Lean Startup methods! This course will walk you through the Lean Product Process and other key tools derived from Lean methodologies.

The Lean Product Process walks you through the steps required to achieve product-market fit:

♦ Determine your target customers
♦ Identify underserved customer needs
♦ Create a winning product strategy
♦ Define your minimum viable product (MVP)
♦ Design your MVP prototype
♦ Test your MVP with customers
♦ Iterate rapidly to achieve product-market fit
♦ Learn how to implement the Lean Product Process with
♦ Value Proposition Canvas
♦ Creating User Journey Maps


About the instructor

Admin

Data 360 Labs

Data 360 utilizes a unique data modeling, reporting and messaging solution powered by AI and machine learning to reduce the operations costs of our clients by up to 90%. Our customers use our platform as a service to augment or replace their existing SaaS, web, mobile or social media systems to save costs. We are solving for the high costs of acquiring and managing customers, employees and community manually or with older software paradigms or web-based technologies. We use the data from the internet genome about the users along with AI and machine learning to gain very detailed insights on millions of users at a time that are not otherwise possible from existing self-service systems like Google, Salesforce and Facebook. Those insights are used to develop highly personalized and targeted workflows, user interfaces, communication strategies, imagery and SaaS systems. Only 1% of businesses ever have the chance to get venture capital and so many businesses struggle with obtaining customers and employees. As much as 75% of a businesses expenses can go to acquiring customers and employees and building community. Big data with AI and machine learning have the change to reduce that to 90% of its normal cost. Our solution is so much more than a game changer.

Course Curriculum

Join this course to get a leg up in your career by learning product management!

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