Your cart is empty.
All Materials
Category
Product managers constantly face more feature requests and innovative ideas than available resources can accommodate. These comprehensive study materials explore structured decision-making models to determine what to build first. You will examine practical frameworks to evaluate customer value, strategic alignment, implementation effort, timeline constraints, and operational risks. The material also addresses managing competing stakeholder demands, handling urgent requests, and communicating trade-offs with transparency and confidence. Built for self-paced study, these modules equip you with analytical tools to replace subjective opinions with clear data, ensuring your team allocates time and resources toward initiatives that drive measurable impact.
Select Skill LevelWhy priority by loudest voice fails, simple frameworks for comparing unlike things, separating urgent from important, and recording a decision so it does not get relitigated next week.
An introduction for people facing more requests than capacity for the first time, where everything has been marked urgent.
You come away able to compare requests that have nothing in common, explain why one was chosen over another, and make a decision hold rather than reopening it at the next meeting.
Scoring models and where they break down, estimating value before anything has been built, factoring in effort and risk, deciding with incomplete information, and making the reasoning visible.
For readers whose prioritisation decisions are now challenged by people with more authority than they have.
You can defend a prioritisation decision to someone who outranks you, use a scoring model without hiding behind it, and decide without waiting for information that is not coming.
Comparing investments with different risk profiles, opportunity cost made explicit, second-order effects of a choice, deciding under political pressure, and revisiting a decision without appearing to waver.
Written for people deciding across competing portfolios, where each option has a credible advocate and a real cost.
You can weigh options whose risks are not comparable, state plainly what is being given up, and change a decision when circumstances change without losing authority.
Deciding when every option is poor, the biases that survive a good process, why groups decide worse than individuals in some conditions, and accounting for a decision that turned out wrong.
The most demanding level, dealing with decisions that cannot be made well, only made responsibly.
By the end of this level you can decide when no option is good and explain the reasoning afterwards, design a decision process that resists the usual biases, and account for an outcome without rewriting the history of the choice.