Sorry for the confusion. I left off the axis labels because the graph was merely a conceptual contrast to the tired hockey stick curve.The idea of its iterative shape, relative to a hockey stick, is the important point.
But I actually like your point because its interesting (a little) to think about what the axes have to be for those shapes to work.
There is probably no confusion around the y axis representing traction - whatever metric is meaningful for the business at that stage. It could be users, or revenue, or engagement, etc.
That pesky x axis is the issue. In the second graph, it cannot be time, as many have pointed out. And that's confusing because the x axis in the first graph of the hockey stick shape is usually time. The x axis in the second graph could instead be a measure of learning, or perhaps product development as one commenter suggested. It probably works best as degree of product/market fit. As prod/mkt fit increases with iterations, so does traction.
Back when you did the initial validation with the first two MVP's, did you measure clickthrough rate? If so, how did it compare with the 4% conversion in the real product? (we're looking at ways to design MVP's to predict actual market performance.)
But I actually like your point because its interesting (a little) to think about what the axes have to be for those shapes to work.
There is probably no confusion around the y axis representing traction - whatever metric is meaningful for the business at that stage. It could be users, or revenue, or engagement, etc.
That pesky x axis is the issue. In the second graph, it cannot be time, as many have pointed out. And that's confusing because the x axis in the first graph of the hockey stick shape is usually time. The x axis in the second graph could instead be a measure of learning, or perhaps product development as one commenter suggested. It probably works best as degree of product/market fit. As prod/mkt fit increases with iterations, so does traction.