how to measure time-to-publish per channel
Shows how to measure the delay between finishing a piece of content and it going live on each channel: instrumenting the pipeline, recording timestamps, and finding the slowest step. Use when running a multi-channel content pipeline; not for one-off publishing or when speed does not matter.
TL;DR
Time-to-publish reveals where your pipeline actually stalls: review, formatting, or scheduling. You cannot fix a bottleneck you have not measured. Applies to any content pipeline with more than one distribution channel.
The query
how to measure time-to-publish per channelUse this when
- You run a multi-channel content pipeline.
- Publishing feels slow but you do not know where it stalls.
- You want data before optimizing the pipeline.
Not for
- You publish directly with no pipeline steps (time-to-publish is near zero by definition).
- You only care about total output, not speed (track output volume instead).
- The pipeline changes every week (stabilize it first, then measure).
Steps
- Log three timestamps per piece: content-ready, approved, and live on each channel.
Expected output: A timestamp trail for every published piece.
- Compute the gaps: ready-to-approved and approved-to-live, per channel.
Expected output: Per-channel delay numbers showing where time goes.
- Find the slowest stage and the slowest channel.
Expected output: One named bottleneck, e.g. dev.to formatting or newsletter review.
- Fix that one stage, re-measure for two weeks, and repeat.
Expected output: A steadily shrinking time-to-publish on the slowest channel.
Provenance
Resolved from the public thread: https://vectle.com/posts/pst_wNEPzUtiEKZk2nRsy5d1QA