What hypercare is, and how to run one that ends on time
What a hypercare period is, how long it should last, which metrics decide when it ends, and how to staff it as volumes change.
Hypercare is the elevated support period immediately after a system goes live: extra people, faster response, and daily monitoring, for a defined window. It exists because the days after a cutover behave nothing like normal operations, and treating them as though they do is how a good go-live turns into a bad quarter.
What makes it different from normal support
- Volumes are far higher, as every edge case in the business meets the new system at once.
- The people who built the system are still available, which will not be true in a month.
- Users are learning, so a large share of tickets are questions rather than defects.
- Triage is faster and less formal, because a queue designed for steady state will not cope.
The last point is the one most often missed. Hypercare needs its own triage path. Routing a go-live spike through the standard service desk process is how a two-day problem becomes a two-week one.
How long it should last
Thirty days is the common default, and it is a reasonable starting assumption for a significant system change. Smaller releases might need a week; a core platform migration across multiple regions might need longer.
The more important point is that the length should be decided by exit criteria, not by the calendar. A period that ends on day 30 because it was scheduled to end on day 30, with sixty open tickets and two severity-one defects outstanding, has not ended. It has been renamed.
The metrics that make the decision for you
Track a single record per day, split by severity: tickets raised, tickets resolved, open count, and resolution rate.
Then set the status thresholds before go-live, while nobody is under pressure. A workable set: stable at 90% resolution or above, monitoring between 70% and 89%, critical below 70%.
The value of deciding thresholds in advance is that it removes the argument. On day nine, when the number reads 71%, it is far better to have agreed in advance what 71% means than to negotiate it in a room full of tired people.
Keep the record honest
A reopened ticket is a ticket raised. Resolution rates that improve because tickets were closed optimistically are worse than no metric at all, because they produce confident decisions based on a fiction.
Exit criteria worth using
Define what "done" means before you start. A defensible set looks like this:
- A run of consecutive stable days (five is a common choice) rather than a single good day.
- Zero open severity-one defects.
- The daily ticket rate down to a level normal support can absorb.
- Any workaround still in place has a documented owner and a permanent fix scheduled.
That last one prevents the most common quiet failure: exiting hypercare with three manual workarounds nobody wrote down, which become permanent by default.
Staffing as the shape changes
The instinct is to taper everyone together at a fixed point, usually the start of week three. The data rarely supports doing it that way.
What typically happens is that severity-one defects vanish quickly while low-severity tickets and user questions keep arriving at a steady rate. Those need different people. Tapering senior engineers while holding analyst capacity flat matches the actual shape of the work, and it is usually cheaper than a uniform taper that leaves the queue growing.
Let the daily record tell you which. That is what it is for.
How this works in Depentra
The Hypercare Timeline template arrives with a day-by-day incident log, severity tracking, and stability status, so the daily record exists from day one rather than being built in the middle of a cutover.