Product Management: What is the user problem?
The start of a great product is knowing what problems your users face. Learn how to capture pains and gains your customer experiences when trying to get their jobs done.
The start of a great product is knowing what problems your users face. Learn how to capture pains and gains your customer experiences when trying to get their jobs done.
Don't underestimate the question of who is the customer for your product. Go deep and understand the four-part checklist you need to profile your customer correctly.
Crafting a simple and inspiring story for your product idea is essential. That's the story that will engage customers and potential employees alike. Learn how to share your product idea.
Design Thinking, Rapid Prototyping, Lean Startup, Agile Software Development, and Growth Marketing are the skills required of product people. Discover how they all come together as a BottomUp way of working.
Lean startup brings some much need rigour to the art of product discovery. Let's see how it works together with other practices such as design thinking and agile software development.
A lean startup pivot is a change in strategy without a vision change. Learn how to measure and change your venture hypothesis and try a new that may yield better results.
Growth is a central idea for any new product or company. Using Lean Startup, you can explore different growth engines that work best for your product. Let's go deep into three types of growth; sticky, viral and paid.
There are three types of fit that you will be testing over the lifetime of a product. Discover how you can find problem-solution fit, product-market fit, and distribution-conversion fit.
Building a Minimum Viable Product (MVP) is a great way to test your product idea. Discover all the ways you can learn test: surveys, prototypes, and many different types of feature-driven products.
A completed lean product is made up of hundreds of small tests. Let's decode the scientific method to continually testing your hypothesis through the data-informed experiments.