Your IT support coverage is not what the rota says. It is what the rota says minus every public holiday in every country your agents sit in, and those holidays cluster in ways nobody plans for until a Tuesday in May when three of your six markets are closed.
TL;DR
- A distributed support team has holidays in several calendars, and the gaps overlap in clusters rather than spreading evenly.
- The worst days are the ones where two markets are closed and the third is on a skeleton rota.
- Build one combined calendar at the start of the year. It takes an hour and surfaces every gap at once.
- Coverage holes are not the only problem. Volume spikes the day after a holiday, in the market that had it.
- Publish the exceptions in advance rather than discovering them. Employees plan around a known gap.
- Half-day and regional holidays are the ones that catch people out, because they do not appear on national lists.
Why the gaps cluster
Public holidays are not randomly distributed. Large parts of the world share dates around the start of January, around Easter, around the start of May and around the end of December. If your support team sits in several countries, those are the periods where multiple agents are off simultaneously.
This is the opposite of what a distributed team intuitively expects. The assumption is that spreading staff across countries spreads the risk, and for sickness and annual leave it does. For public holidays it concentrates it, because the calendars correlate.
The result is a handful of days each year with genuinely thin coverage, and they are knowable twelve months in advance.
The combined calendar
One sheet, one hour, done in January. A row per working day and a column per country where you have support staff, marked closed or open.
Then add a column counting how many of your support markets are closed on each day. Sort by that column and the whole year’s risk appears on one screen, usually as between four and ten days that need a decision rather than a general sense that holidays are awkward.
Add a second sheet with a column per country where you have employees rather than agents, because that tells you the demand side. A day where a market is closed is a day it generates no tickets, which sometimes cancels out the coverage loss and sometimes makes it worse.
A worked example
A support team of seven sat across three countries, with employees in six. The team had never built a combined calendar and handled holidays as they arrived.
When somebody finally produced one, it showed nine days in the year where two of the three support markets were closed, and two days where all three were. On those two days the desk was staffed by one person on a half day, serving six markets, four of which were working normally. Both days had historically produced the year’s worst response times, and nobody had connected the two facts because the incidents were eleven months apart.
The fix cost almost nothing: two pre-arranged cover days swapped with staff who did not observe those holidays, and a published notice to the four working markets a fortnight ahead.
The day after is the busy one
Coverage is only half the problem. The other half is that a market which has been closed generates a concentrated burst of tickets when it reopens, because two days of problems arrive at once alongside the normal volume.
The worst configuration is a holiday in a large employee market that is not a holiday in your support market. Your agents work through a quiet day with low volume, then face double volume the next day with the same staffing. Teams frequently take the quiet day as an opportunity to schedule maintenance or training, which makes the following day worse.
Plan staffing against the day after a large market’s holiday rather than against the holiday itself.
What to actually do
What to do:
- Build the combined calendar in January, with one column per support market and one per employee market.
- Count closures per day and sort. Act on the days where two or more support markets are closed.
- Arrange cover for those days by swapping with staff who do not observe them, agreed months ahead.
- Check for regional and half-day holidays, which do not appear on national lists and catch people out.
- Publish the known exceptions to employees a fortnight ahead, in their own languages.
- Staff the day after a large market’s holiday more heavily than the holiday itself.
The regional holiday check is worth doing properly. Several countries have holidays observed in some areas and not others, and a national list will tell you the office is open when half your staff in that market are not.
Telling people in advance
A known gap that has been announced is a minor inconvenience. The same gap discovered by submitting a ticket into silence is a service failure, and the difference is entirely in the communication.
Publish the dates, in the languages your staff work in, with the expected response time for those days and a named route for anything that genuinely cannot wait. Express the dates with the timezone attached, because a notice saying support is reduced on a given date is ambiguous across a distributed company by exactly the margin that matters.
Self-service matters more on these days than on any other, since the repeatable majority of tickets can be answered from documentation without anybody on shift. Our multilingual IT support comparison covers the tools that do this in the requester’s own language.
Final thoughts
This is the cheapest problem in distributed IT support to fix and one of the most commonly ignored, because each individual instance looks like bad luck rather than a pattern. Spreading a team across countries does not spread holiday risk, it concentrates it, and the concentration is entirely predictable.
Build the combined calendar once in January, act on the handful of days where coverage is genuinely thin, remember that the day after a holiday is the busy one, and tell people in advance in their own language. An hour of work removes the year’s worst response times.
Frequently asked questions
Why do public holidays hurt a distributed support team more than expected?
Because holiday calendars correlate rather than spreading evenly, so large parts of the world share dates around early January, Easter, early May and late December. Spreading a team across countries genuinely does spread the risk of sickness and annual leave, but for public holidays it concentrates it, producing a handful of days where several agents are off simultaneously. Those days are knowable a year ahead, which is what makes this cheap to fix.
How do we build a combined holiday calendar?
One sheet with a row per working day and a column per country where you have support staff, marked open or closed, plus a column counting how many of your support markets are closed each day. Sorting by that count puts the whole year’s risk on one screen, typically as between four and ten days needing a decision. Add a second sheet covering countries where you have employees rather than agents, since that tells you the demand side and sometimes cancels out a coverage loss.
Which holidays are most likely to be missed?
Regional and half-day holidays, because they do not appear on the national lists most people use. Several countries observe holidays in some areas and not others, so a national calendar will tell you a market is open when a substantial part of your staff there are not, and half days produce a market that is technically staffed and effectively unavailable from lunchtime. Check these specifically with somebody local rather than relying on a published list.
Is the holiday itself the busiest problem?
No, the day after is, and this catches teams out repeatedly. A market that has been closed generates a concentrated burst of tickets when it reopens, since two days of problems arrive alongside the normal volume, and the worst configuration is a holiday in a large employee market that your support market does not observe. Agents work through an unusually quiet day and then face double volume with the same staffing, which is made worse if the quiet day was used for maintenance or training.
How should we communicate reduced coverage?
Publish the specific dates a fortnight ahead, in the languages your staff actually work in, with the response time you expect to achieve on those days and a named route for anything genuinely urgent. Express every date with its timezone attached, because a notice stating that support is reduced on a given day is ambiguous across a distributed company by precisely the margin that matters. A gap that has been announced is a minor inconvenience, while the same gap discovered by submitting a ticket into silence reads as a service failure.
What is the cheapest way to cover the thin days?
Swap cover with staff who do not observe those particular holidays, agreed months in advance rather than negotiated in the week. Because the clusters are predictable, a team spread across countries usually contains somebody working normally on any given date, and a planned swap costs nothing beyond the arrangement itself. Combine that with document-based self-service, which carries the repeatable majority of tickets without anybody on shift and matters more on these days than on any other.
