Product Management Topics
Product leadership, vision articulation, roadmap development, and feature prioritization. Focuses on product strategy and business alignment.
Product and Engineering Collaboration
The working partnership between product and engineering: assessing technical feasibility with engineers, negotiating scope and timelines against technical constraints, and balancing feature delivery against reliability, security and maintenance work when the two functions disagree. Covers making sure engineers understand the why behind work, bringing engineers into discovery, joint planning, estimation and capacity, pushing back on or accepting product requests with engineering risk, holding the line on quality or launch dates when sales or senior leadership press for commitments, making engineering concerns visible and winning funding for technical investment, mediating release, migration and downtime disputes, rebuilding trust and running blameless post-incident conversations after rushed releases or outages, agreeing scope, baselines and what done means up front, and building shared ownership of outcomes. Assesses how a candidate works with the other side of the product-engineering line, not how they rank a backlog or measure debt in the abstract. Prioritization frameworks, technical debt measurement and reduction, and service-level objective mechanics are covered elsewhere.
Customer and User Obsession
Reasoning from the customer or end user inward when making decisions in any role: building empathy for users, including buyers who are not the people who use the product; identifying and prioritizing customer pain points and workarounds; collecting and acting on customer feedback, including how representative it is, how it compares with usage data or satisfaction scores, and how it reaches the people who can act; bringing the voice of the customer into roadmap and technical trade-offs; advocating for users against internal or deadline pressure; and balancing customer needs against business goals and engineering constraints, such as a large account's bespoke request, power users versus everyday users, or retiring a feature. Includes stories of changing course because of customers or recovering after letting one down. Assesses whether a candidate starts from the customer's problem rather than from features or technology. Study design and fieldwork, research synthesis, personas and journey maps, analytics and experimentation mechanics, reliability engineering, customer-success operations, market and competitive research methods, and live handling of angry customers are covered elsewhere.