Design Metrics and Product Thinking
How to measure whether design work is actually working, tie it to business outcomes senior stakeholders care about, and defend it without either hiding behind numbers or ignoring them
Covers Google's HEART framework and its Goals-Signals-Metrics companion process, the business metric vocabulary designers need (conversion funnels, activation, retention/churn), North Star metrics and how they should shape design prioritization, reasoning about design quality vs. shipping velocity as a cost-of-being-wrong tradeoff, techniques for quantifying UX impact to win stakeholder buy-in, and the risk of over-optimizing for a metric that's a poor proxy for the real goal — including where that risk shades into manipulative, dark-pattern territory.
Practice questions (5)
-
View →
Defining a Metric for a Fuzzy Feature Request from Scratch
Advanced · Free -
View →
Defending a Funnel Metric Against a Skeptical Growth Lead
Advanced -
View →
A North Star Metric That Creates a Roadmap Conflict
Advanced -
View →
Ship-vs-Validate Tradeoff on a Payments Feature Under Deadline Pressure
Advanced -
View →
Diagnosing Whether an Engagement Win Is Real or a Dark Pattern
Advanced