Product Metrics & Analytics Flashcards
6 cards from real Product Management Certification Program 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 & Analytics flashcards as text
What is 'session duration' as a product metric and what can it indicate?
Answer: The average time users spend in the product per visit; it can indicate engagement or friction depending on context
Session duration measures how long users interact with the product in a single visit — long duration can signal deep engagement in entertainment apps or friction/confusion in task-based apps.
What is an 'OKR' and how is it used in product management?
Answer: Objectives and Key Results — a goal-setting framework linking qualitative objectives to measurable outcomes
OKRs (Objectives and Key Results) align product teams around ambitious qualitative objectives supported by measurable, time-bound key results to track progress toward those goals.
What is 'page load time' and why do product managers track it?
Answer: How long it takes a page to become usable in the browser; slow load times directly hurt conversion and retention
Page load time is a performance metric directly linked to user experience — studies show even a 1-second delay in page load can reduce conversions by up to 7%.
What is a 'product health dashboard' used for?
Answer: Providing a real-time view of key metrics (errors, latency, usage, conversions) to detect issues and track product performance
A product health dashboard aggregates critical metrics in one place, enabling PMs and engineers to monitor the product's performance, catch anomalies, and make data-informed decisions quickly.
What does 'error rate' measure in product analytics?
Answer: The proportion of user interactions or requests that result in an error or failure
Error rate tracks how often users encounter failures (crashes, failed API calls, form errors) during their interactions, serving as a key quality and reliability indicator.
What is the difference between a 'leading indicator' and a 'lagging indicator' in product metrics?
Answer: Leading indicators predict future outcomes and can be acted on; lagging indicators confirm past results after the fact
Leading indicators (like user activation rate or weekly engagement) can be influenced now to steer future outcomes, while lagging indicators (like annual revenue) confirm what already happened.