3 ms·
Here’s a (perhaps weak) alternative explanation for the headline and chart of the graph: suppose there is some UX quality number representing how good an averag
by dan-robertson 6y ago
Here’s a (perhaps weak) alternative explanation for the headline and chart of the graph: suppose there is some UX quality number representing how good an average app will be if it is updated. Now suppose this number increases at 10% a year. If you update your ux every year, you might therefore observe a 10% improvement each time you update. If you update your app only every 5 years, you would instead see a 60% improvement.
So my question is: how does this study compensate for changes to the frequency of updates?
- maneesh 6y agoDoes the rule of 72 apply here? If there are 10% improvements annually, and you wait 7.2 years, you’d see a 100% improvement?
- dan-robertson 6y agoYeah in the hypothetical world where things improve by 10% each year. But I don’t really see how it’s relevant. The way to compensate would be to say something like “average growth rate := growth ^ (1/#years since last update)”