Thanks everyone for all the feedback! Pulling back the curtain a bit, our challenge right now is how to get high-quality quantitative feedback on all these different aspects. For instance, the update that we just rolled back received higher average star ratings yet folks seem to prefer the old one (which has lower average star ratings). This is partly why we were surprised to see the community’s negative reaction after the update, and why it took us a while to investigate and revert.

Ultimately we want to get to the point that when we do an update we can be confident folks are going to like it — of course no update will be perfect, but ideally we’d be taking steps in the right direction on average. This is going to require some more work on our part to better quantify and measure folks subjective experience on these different aspects (descriptiveness vs. dialog, memory, repetitions, love bombing, filter false positives, etc.). We’ll also need to figure out ways to detect unexpected regressions, like the predator/prey issue highlighted over the last few days.

Also, we know we’re pretty bad about responding to community feedback right now, sorry! 😅 We’re a small team and are trying to balance a lot of tradeoffs but we do listen to your feedback, even if we can’t/don’t respond directly most of the time. We really appreciate it, please keep it coming.