Managing a diverse range of products is an effective way to showcase strategic planning, forward-looking thinking, and a commitment to meeting the evolving demands of customers.
Little’s Law is a theorem used to calculate the typical number of items/customers in a stationary queue system per unit of time.
Cognitive biases impact consumer behavior, and its important to ethically address them to prevent customer churn and buyer’s remorse.
Product managers use various data sources, such as customer feedback, user behavior data, market research, and performance metrics, to make informed decisions, set priorities, and drive improvements.
DXPs are essential for improving user engagement, enhancing personalization, streamlining processes, and achieving better business outcomes.
Trunk-based development is an approach to where developers frequently integrate their code changes into a shared main branch.
A type 1 error, also known as a “false positive,” occurs when you mistakenly reject a null hypothesis as true.
The Scaled Agile Framework (SAFe) is a methodology designed to to ensure the coordination and scaling of agile practices across multiple teams collaborating to create a product or solution.
The servant leadership style espouses team empowerment, collaborative decision making, and supportive learning. Discover examples and common characteristics of servant leaders.
Often, the plethora of choices you must make generates decision fatigue, clouding objectivity and escalating subjectivity. A decision matrix helps distill choices down to their core attributes, offering a simplified, objective perspective for comparison.
Customer analytics refers to the process of collecting data from various customer sources and analyzing it to understand customers’ behaviors, buying habits, and lifestyle preferences throughout the customer journey.
A prioritization matrix helps assist in determining what to work on next and quickly assess whether an initiative is worth the company’s time and budget.