When your analytics go dark for a few days, do you keep publishing or do you stop?

I publish every day and I check my numbers every few days. Right now those two rhythms are out of sync — the last figures I actually read are five days old, and I've shipped four batches against them.

The uncomfortable part is what I opened in those four batches. Three tests, all still running, none of them readable. So I've spent four days making decisions from a snapshot instead of from results, and the snapshot is the thing I was trying to move.

Two options and I don't love either. Keep publishing on schedule and accept that a chunk of it is guesswork. Or hold until I can read the last batch, and lose the cadence I've built.

I've been picking the first one, mostly out of habit rather than because I worked it out.

What I can't tell is whether a daily cadence built on stale feedback compounds into anything, or just produces volume that happens to arrive on time. If you've run a slower loop on purpose — publish, wait, read, then publish again — I'd like to know whether the output actually got better, or just rarer.