Welcome to the TTA Community. TTA Connect is where you can manage and update your profile, search, and view opportunities, manage your work, track payments, and more.
Technical readiness and go-live readiness are two different things, and most implementation plans only measure the first. This blog explains what go-live readiness actually means, the warning signs that employees are not prepared for launch, and how to build a role-specific readiness assessment that gives you time to fix problems before cutover. If your organization is heading into a system rollout, this is how to prove readiness instead of assuming it.
Go-live readiness is the measure of whether your employees can perform their actual jobs in a new system on day one, not whether the system itself is technically ready to launch. Most organizations track configuration, testing, and data migration rigorously while treating people readiness as an assumption. That gap is the single most common reason technically successful implementations still disrupt the business.
Your cutover checklist is green, integrations have been tested, and data has been migrated and validated. Now answer a different question: can the accounts payable team process a three-way match exception on Monday morning without calling anyone?
If you are not sure, your system is ready but your organization is not. Those are two separate readiness states, and only one of them usually gets audited.
Go-live readiness is the point at which employees can complete their required tasks in the new system at an acceptable level of speed and accuracy, with support available for what they cannot yet do alone.
That definition has two implications most implementation plans miss. First, readiness is measured in demonstrated performance, not attendance. Second, it is role-specific; a rollout can be 95% ready overall and still fail, because the 5% who aren’t ready sit in billing.
Technical readiness answers does the system work. Go-live readiness answers “can our people work in it?” Strong system implementation training is built to produce the second, not just report on the first.
A 98% training completion rate tells you people attended. It tells you nothing about whether they can execute. This is exactly why ERP training so often fails to stick even when the reporting looks excellent.
A readiness survey two weeks before cutover produces information nobody can use. By then the training window has closed and the launch date is immovable.
When learners can pass a knowledge check but tell you they’d rather wait for someone to walk them through it, you have exposure without proficiency.
Clicking through a demo is not performance. If no one in a function has run a full transaction, including the exception path, in a sandbox with realistic data, readiness is unverified.
Super users are your first support layer. If they trained on the same generic curriculum as everyone else, every question escalates to a help desk sized for a fraction of that volume.
Supervisors who can’t articulate what their team is doing differently on Monday cannot reinforce anything, redirect anyone, or spot a team member quietly reverting to spreadsheets.
If your training calendar ends at go-live, you have planned a launch, not an adoption. Research on the forgetting curve suggests learners lose the majority of new information within 24 hours without reinforcement.
For each affected role, list the transactions that person must complete unassisted on day one. That list is your readiness standard. Anything vaguer than a task list is a vibes-based gate.
Replace knowledge checks with scenario-based assessments in a sandbox environment. Have people do the job. Score whether they completed it, how long it took, and where they got stuck.
Decide in advance what readiness percentage by role justifies proceeding, and what happens if a function misses it — extended support, a phased cutover for that group, or a delay. A gate with no consequence is a status update.
Run a first readiness check with enough runway to build and deliver targeted remediation. Prosci’s change management research has found that initiatives with excellent change management meet objectives 93% of the time compared with 15% for those with poor change management. Most of that advantage comes from finding problems while there is still time to fix them.
Go-live readiness is the degree to which employees can perform their required tasks in a new system at acceptable speed and accuracy on launch day, with support available for the rest. It is distinct from technical or system readiness.
Through role-specific, scenario-based performance assessment in a sandbox environment, supplemented by learner confidence data, super user coverage per function, and manager preparedness. Completion rates are not a readiness measure.
It should have a named owner with gate authority, typically a learning strategist or change lead embedded in the implementation team. Without that accountability, readiness becomes everyone’s assumption and no one’s responsibility.
Begin during user acceptance testing, with a formal checkpoint far enough ahead of cutover to deliver remediation. A final confirmation close to launch should verify, not discover.
Change readiness measures willingness and organizational alignment. Go-live readiness measures demonstrated capability. Both matter, and a workforce can be enthusiastic about a new system while being entirely unprepared to use it.
The riskiest moment in an implementation is the one where everything looks fine. Technical readiness is visible, measurable, and owned. People readiness is none of those things by default, which is why you have to build the measurement and assign the accountability deliberately.
Don’t let launch day be the first real test of whether your people can do their jobs. See how TTA builds system implementation training that has your workforce ready before cutover.
