Go-live is not the finish line
Most transformation programmes measure success at go-live. The system is live, the cutover checklist is complete, the steering committee celebrates. The programme team begins to wind down. The systems integrator moves its people to the next engagement.
Ninety days later, adoption is at 40% of target. Key users have found workarounds. The finance team is running parallel processes in Excel. The programme sponsor is fielding complaints from business unit heads. The board is asking why the benefits case has not materialised.
The six signals
This pattern is so common it has a name in change management circles: the adoption cliff. It is not caused by poor technology. It is caused by programmes that treat go-live as the end rather than the beginning of adoption.
The first signal is training that stops at go-live. When user training is scheduled in the weeks before cutover, delivered in classroom sessions, and not reinforced afterward, retention collapses within days. Users who encountered edge cases in the first week after go-live and could not get help revert to old processes — and rarely return to the new system voluntarily.
The second signal is no named adoption owner after go-live. When the change management workstream closes at cutover, nobody is accountable for adoption metrics. The programme team is demobilised. The business-as-usual team is not yet resourced to own adoption. The gap is where adoption goes to die.
The third signal is benefits tracking disconnected from adoption. When the benefits case says '£2M efficiency gain from process automation' but nobody measures whether the automated process is actually being used, the benefit becomes theoretical. When adoption is low, the benefit is not realised — but nobody knows because nobody measured.
The fourth signal is no feedback loop from users. When users encounter problems after go-live and have no visible mechanism to report them, the problems persist, confidence in the system falls, and workarounds proliferate. A simple triage process — issue reported, acknowledged within 24 hours, resolved or escalated within 5 days — is the difference between a system that users trust and one they route around.
The fifth signal is senior sponsor disengagement after go-live. When the programme sponsor stops attending adoption reviews, the signal to the organisation is that adoption is no longer a priority. Middle management reads that signal accurately and responds accordingly.
The sixth signal is hypercare resourced as a skeleton crew. Hypercare — the intensive support period immediately after go-live — is routinely under-resourced because it comes at the end of the programme budget. When hypercare is staffed with two people instead of ten, issues take longer to resolve, user frustration compounds, and adoption stalls.
What good hypercare looks like
Good hypercare looks like a dedicated team with clear triage protocols, daily adoption metrics reviewed by a named owner, and a direct escalation path to the programme sponsor for systemic issues. It runs for 60–90 days post go-live, not two weeks.
Beyond hypercare, sustaining adoption requires embedding it into business-as-usual governance. Monthly adoption reviews in the business unit leadership team, a named business change owner who is accountable for adoption targets, and a mechanism for reporting issues that people actually use.
The programmes that realise their benefits cases have one thing in common: they treat the 90 days after go-live as the most important phase of the programme, not the most disposable. They resource it accordingly, they measure it relentlessly, and they do not close the programme until adoption is at target — not until the technology is live.