Most adoption problems are not caused by the model. They come from how the work is introduced, supported, and governed once people start using it.
Below are the most common mistakes, written as questions teams ask in practice, with practical fixes that stay consistent with the Step 7 themes.
This usually happens when the effort is treated as a technical project instead of a workflow change.
If the workflow does not change, people do not change. A tool sitting next to the work is easy to ignore.
What to do instead
Start with one or two workflows where the outcome is clear and the value is easy to notice. Make the workflow the unit of delivery, not the model or the tool.
Most teams underestimate enablement and support. People need to know what “good usage” looks like, what the system can and cannot do, and what to do when it fails.
What to do instead
Provide short, targeted guidance tied to the real workflow. Make it easy to ask for help, and make support visible so people do not feel they are experimenting alone.
Adoption does not happen just because something is available. People adopt when there is a reason to change, a safe way to change, and proof that using it will not backfire.
Hesitation often shows up when outputs vary, when scope is unclear, or when people do not know whether they will be blamed for mistakes.
What to do instead
Make the scope explicit and give a clear escalation path. Normalize reporting failures early, and treat those reports as signals to improve the system.
This happens when feedback is not captured in a structured way, or when it is not routed back to the team that can fix the underlying issue.
What to do instead
Use feedback loops to improve the parts of the system that drive day-to-day reliability: