Product Metrics and ROI Flashcards
6 cards from real PSPO practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Product Metrics and ROI flashcards as text
What is the Objectives and Key Results (OKR) framework and how can a Product Owner use it?
Answer: A goal-setting framework pairing qualitative objectives with measurable key results to drive product focus
OKRs help the Product Owner set ambitious, measurable goals that align product work with strategic outcomes, complementing the Scrum Product Goal.
What is the relationship between product metrics and Product Backlog prioritization?
Answer: Metrics provide empirical evidence that informs ordering decisions, ensuring high-value work is prioritized
Product metrics make value visible, enabling the Product Owner to order the backlog based on evidence rather than opinion, assumption, or politics.
What is a product health dashboard and how should a Product Owner use it?
Answer: A real-time view of key product metrics used to inspect product performance and identify improvement opportunities
A product health dashboard gives the Product Owner continuous visibility into how well the product is performing against its goals, supporting timely decisions.
How does customer churn rate inform a Product Owner's backlog priorities?
Answer: High churn signals unmet user needs or product problems that may warrant prioritizing retention improvements over new features
High churn indicates the product is failing to sustain user value, often signaling that addressing retention issues should take priority over new feature development.
Why is it important for a Product Owner to set baseline metrics before a release?
Answer: To enable meaningful before-and-after comparison that validates whether the release achieved its intended value
Baseline metrics establish a benchmark, allowing the Product Owner to objectively assess whether a release achieved its value hypothesis after deployment.
How should a Product Owner respond when metrics show a feature is not delivering expected value?
Answer: Treat it as validated learning, pivot or remove the feature, and redirect investment toward higher-value opportunities
Metrics revealing low feature value are empirical feedback; the Product Owner should use this learning to adapt the backlog and redirect effort toward higher-value work.