Most distributed-team scheduling problems are structural, not personal. These essays diagnose where the structures pull, and what teams can do about them, usually without new tooling.
Doodle, Calendly, When2meet, World Time Buddy and Google Calendar each solve a different scheduling problem, and mostly do not compete with each other. Which one you want depends on whether you are booking a stranger, polling a group, converting time zones, or rotating a recurring meeting fairly. Includes where we are not the right answer.
The overlap window method: convert everyone’s working hours into one reference zone, take the latest start and the earliest finish, and read off the result. What to do when the overlap is empty, which it usually is past about a ten-hour spread, and how to keep a recurring meeting from settling on whoever complains least.
Four questions that separate a real-time discussion from a written update with a calendar invite. Worth asking before you spend scarce overlap on a meeting that did not need it, and honest about the fact that going async reduces the scheduling problem rather than removing it.
A diagnostic essay on the drift that lands rotating meetings on the same one or two people every time. It isn't favouritism, it isn't a scheduling-tool bug, and it almost never gets noticed until someone quits. Five structural reasons it happens, the four properties a real fix has to have, and the five-minute retro exercise that catches most of the drift without any new tool.
A 6-person team on a 6-week rotation looks fair on paper. Then you actually count what each person absorbed, and one of them did roughly twice the work. Why weeks-of-rotation is the wrong unit, what to measure instead (out-of-hours minutes per quarter), why follow-the-sun isn't a fix, and the four operational moves that hold.
An explainer of the four-dimension model that powers FairlyRemote: accommodation, flexibility, social time, and rest quality. Why scheduling tools that don't model sleep produce unfair meeting times, what monthly accommodation budgets do, how the decay function keeps last year's history from haunting this year's votes, and what the score explicitly does not predict.