The method's improvement cycle has four steps. The team plans around a focus metric, builds the prioritized work, learns from the data, and passes what it learned to other teams.
Suppose a company sells compliance software to mid-size manufacturers. Sales reports that on first calls, prospects keep asking whether the product covers a particular audit standard. The product page doesn't say. The team can't tell whether that gap is costing inquiries or only costing sales ten minutes on each call.
So the next cycle adds a section to the product page that answers the question. A month later the team looks at two things: whether demo requests from that page changed, and whether sales still gets asked.
Suppose requests are flat, and sales reports that the question has stopped coming up on first calls. A before-and-after reading like this isn't a controlled test, so the team records both as observations. The request count didn't move over that month, and sales stopped hearing the question. The team keeps the section because sales finds it useful, and it picks a different question for the next cycle.
That choice is made with two observations on record where there had been a guess. Which measures suit this kind of reading is the subject of what metrics to track in growth-driven design.