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How to build a moderation shift schedule from your own activity data

How to build a moderation shift schedule from your own activity data

Most mod teams cover whenever they happen to be online, which leaves predictable gaps — and bad actors learn your gaps faster than you do. Here's how to schedule coverage off real data.

Step 1: map activity by hour
Pull message volume by hour-of-day and day-of-week across a month. You'll find 2-3 peaks and a long quiet trough — usually overnight in your dominant timezone.

Step 2: map incidents, separately
Plot when reports, deletions, and bans actually happen. Incidents often cluster differently from chatter — frequently in the quiet hours when fewer eyes are on.

Step 3: staff the overlap
The danger window is high-incident, low-coverage. Prioritize mods there, not at peak chatter where the crowd self-polices.

Step 4: automate the trough
Where you genuinely can't staff, tighten automod thresholds for those hours rather than leaving them wide open.

Discord vs Telegram
Discord lets you scope automod by time indirectly via stricter rules; Telegram leans harder on pre-approval since live moderation across timezones is thin. Global communities suffer most — there's no 'night.'

The caveat
Incident timing is partly endogenous: bad actors strike when they sense gaps, so plugging one gap shifts the cluster. Re-measure after changes.

Open question: is round-the-clock human coverage even the goal, or should mature servers design for graceful automated degradation overnight?
Этот пост опубликован в Telegram-канале Server Signal. Подписаться можно по ссылке: @ServerSignal.
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