View data skeptically by suggesting countermetrics. If the data is showing you what look like good results, ask yourself: “What else can I look at to convince me that these results aren’t as good as they seem?” These are called countermetrics, and every success metric should have some. (For example, don’t look at click-through rate without looking at the number of fast bounces back, don’t look at the sales numbers of a product without looking at how many returns or cancellations there are, etc.) It’s much better to be paranoid about interpreting data so you can quickly catch your mistakes and adjust your strategy. Don’t fall into the trap of confirmation bias where you’re just looking for signals that prove your intuitions are right.
Just like how you can eat too many jelly-filled donuts and give carbs a bad name, so too can metrics be used to justify poor decisions. This can happen because not everything you can measure is worth measuring or affecting. This can also happen because you don’t get the full story by looking at a single metric. Often, you need a suite of metrics to get a really good picture of what’s actually happening.
As mobile app builders know all too well, getting people to open an app and give it another chance is very hard. By comparison, reengagement with a Messenger bot is easy, because the most recent conversations are readily accessible, at the top of the list. Do you even remember where the last app you installed ended up?
The new header is more compact, with the goal of getting you to the writing more quickly. We removed the cover image, so you can actually see the post and interaction lists now, even on mobile. We also put a simpler list of associated publications directly under the bio.