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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
  1. What is the difference between leading and lagging indicators for a Product Owner?

    Answer: Leading indicators predict future outcomes; lagging indicators confirm past results

    Leading indicators like trial sign-ups predict future success, while lagging indicators like quarterly revenue confirm past performance — both are useful for different decisions.

  2. How can A/B testing support a Product Owner's decision-making?

    Answer: By providing empirical evidence about which product variation delivers more value to users

    A/B testing provides empirical data about user behavior and preference, enabling evidence-based product decisions rather than relying on assumptions or opinions.

  3. What is user retention rate and why does it matter to a Product Owner?

    Answer: The percentage of users who continue using the product over time, indicating whether it delivers sustained value

    Retention rate reveals whether users find lasting value in the product; low retention signals that the product is not meeting user needs over time.

  4. What is the concept of 'cost of delay' and how should a Product Owner apply it?

    Answer: The value lost by not delivering a feature sooner, used to prioritize high-urgency, high-value items

    Cost of delay quantifies the opportunity cost of deferring a feature, helping the Product Owner prioritize items where delay creates the most significant value loss.

  5. What does 'actionable metric' mean for a Product Owner?

    Answer: A metric that directly informs a decision or triggers a specific response when it changes

    Actionable metrics are ones where a change in the number tells the Product Owner what to do next, unlike vanity metrics that inform no specific action.

  6. How should a Product Owner measure the success of a newly released feature?

    Answer: By tracking adoption, usage, and outcome metrics against pre-defined success criteria

    Feature success should be measured against pre-defined outcome metrics like adoption rate, user behavior change, or business impact — not activity metrics.