Product Management Topics
Product leadership, vision articulation, roadmap development, and feature prioritization. Focuses on product strategy and business alignment.
Requirements Gathering and Analysis
Describe methods for eliciting, documenting, validating, and managing requirements across business and technical stakeholders. Discuss elicitation techniques such as one on one interviews, facilitated workshops, observation, prototyping, and surveys. Explain how to distinguish functional requirements from non functional requirements, write clear and testable acceptance criteria, perform gap analysis, maintain traceability, prioritize requirements with explicit criteria, and reconcile conflicting stakeholder needs. Cover facilitation practices for workshops, artifacts such as user stories, use cases, process flows, and requirement specifications, and ways to collaborate with engineering to validate technical constraints and ensure requirements are verifiable by testing.
Technical Requirements and Specifications
Covers the end to end practice of translating product vision and business goals into clear, actionable technical requirements and specifications that engineering teams can implement. Includes writing product requirement documents and technical specifications with problem statements, success metrics, user and developer personas, API contracts and interfaces, data and schema considerations, functional requirements, and non functional requirements such as performance targets, latency and throughput expectations, scalability goals, reliability targets and service level objectives, security and privacy constraints, backward compatibility, and rollout and migration strategies. Encompasses requirements gathering techniques such as stakeholder identification, discovery conversations, clarifying questions, scoping, constraint identification for budget and timeline, defining measurable acceptance criteria, traceability to business objectives, and documenting assumptions and open questions. Also covers communicating requirements effectively to engineering and cross functional partners, knowing how to be specific without over constraining implementation, iterating requirements as learning emerges, and involving engineers early so they provide technical input and ownership.
Problem Definition and Framing
Covers the skills and practices used to clarify, diagnose, and scope ambiguous business or product problems into actionable problem statements before proposing solutions. Candidates should demonstrate structured and insightful clarifying questions to understand business context, current and desired states, target users and user needs, success metrics and desired outcomes, constraints such as budget, timeline, technical dependencies, and compliance, stakeholder perspectives, and existing performance baselines. Includes separating symptoms from root causes, surfacing and testing hypotheses, identifying data to collect and analyze, performing root cause analysis, breaking complex problems into prioritized subproblems, and defining acceptance criteria and next steps or experiments to reduce uncertainty. Encompasses discovery techniques and basic user research to surface user pain points and opportunities, requirements scoping including scope boundaries, risks and trade offs, and the ability to write a concise problem statement in your own words. At senior levels also assess strategic framing, avoiding premature solutions, aligning stakeholders, and presenting an executive narrative that links diagnosis to measurable outcomes and implementation trade offs; for junior candidates emphasize curiosity, systematic thinking, and the ability to prioritize information needs rather than jumping to implementation.
Defining and Using Success Metrics
Learn to propose metrics that directly tie to business or product goals. Understand primary metrics (direct measure of success, like feature adoption rate or API call volume) versus secondary metrics (supporting indicators like latency, error rates, or user satisfaction). Practice proposing 2-3 realistic metrics for different scenarios. At entry-level, you don't need statistical sophistication, but you should understand how to measure whether something worked and why certain metrics matter.
Customer and User Obsession
Demonstrating a deep commitment to understanding and advocating for customers and end users. Candidates should show how they prioritize user needs in decision making, even when it conflicts with other priorities, and provide concrete examples of advocating for users internally. Topics include using qualitative and quantitative research to surface user pain points, validating assumptions with user evidence, designing or improving experiences to solve real problems, maintaining ongoing connection to users through feedback loops, and influencing stakeholders to keep the organization user focused. Examples may range from entry level empathy and direct customer learning to strategic changes driven by user insight.
Metrics and Success Measurement
Defining meaningful program and product metrics, translating business objectives into measurable outcomes, selecting and tracking key performance indicators such as adoption, quality, and stakeholder satisfaction, and establishing measurement plans and reporting cadence. Assess the candidate's ability to choose actionable metrics, set targets, instrument and interpret data, and use metrics to drive decisions and transparency.
Roadmap Planning and Sequencing
Designing and sequencing a multi year product roadmap to translate strategy into phased deliverables that balance strategic bets with near term revenue drivers and ongoing optimization. This topic assesses approaches to prioritization, trade off analysis between short term fixes and long term investments, dependency mapping, milestone and release planning, and resource allocation across products and platforms. Candidates should describe scoring and prioritization frameworks such as weighted scoring, impact versus effort analysis, opportunity sizing and confidence estimates, and explain how they choose a minimum viable release to establish market presence. They should show how to sequence work across years and segments, manage dependency chains, balance long term strategic bets with near term commercial drivers, and reallocate resources as information and outcomes change. Include plans for experimental validation and learning using controlled experiments, pilots and staged launches, and explain how success will be measured using key performance indicators and leading metrics. Finally, candidates should describe stakeholder communication and alignment strategies for engineering, design, commercial and executive partners and cover go to market sequencing and launch considerations for each phase.
Prioritization and Stakeholder Alignment
Covers frameworks and practices for prioritizing work, aligning stakeholders, and allocating limited resources across features projects and operational needs. Topics include impact versus effort and weighted scoring models, RICE and similar frameworks, sequencing dependent work, handling competing or conflicting priorities, negotiating trade offs with business and engineering partners, creating governance and escalation paths, communicating deprioritization decisions, and measuring outcomes to validate prioritization. Senior assessments include strategic resource allocation across teams and portfolios and techniques for building cross functional consensus.
Customer and User Focus
Demonstrating user centric thinking and long term customer focus. Candidates should explain who the end user is for a given effort, what problem is being solved, which user segment matters most, and how decisions balance short term metrics against long term customer benefit. Answers should show empathy for users, describe how user needs translate into product or operational priorities, and provide examples or frameworks for aligning customer outcomes with business objectives.