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What must travel with an innovation for it to scale?

Writer: Catherine Azzariti de Pinho
Catherine Azzariti de Pinho
Oct 1
2 min read

Early success provides an opportunity to learn what made adoption possible. Before expanding, leaders can examine how much of that success belongs to the solution itself and how much depends on the conditions around it.


A first implementation may benefit from an experienced local champion, close support from the development team or unusually strong relationships between departments. Those conditions can be valuable. The expansion plan needs to make their contribution explicit, especially when the next setting will have different people and resources.


A practical review separates what should remain consistent from what can adapt. The intended purpose, quality requirements and essential training may need a common approach. Scheduling, stakeholder engagement and service arrangements may require local choices. Making that distinction helps teams adapt without losing the elements that make the innovation useful.


The next step is to identify the support that must accompany each implementation. This could include onboarding materials, a process for resolving questions, clear responsibilities and a way to capture feedback. Each requirement has implications for capacity and cost. An expansion forecast should reflect them.


The second or third implementation can then become a deliberate test of repeatability. Does the approach work with less direct involvement from the original team? Which issues recur? Where does local adaptation improve the result, and where does it undermine the intended use?


That learning can change the pace or sequence of expansion. It may support further investment, a more focused market choice or additional work on the operating model.


For leaders, scale becomes easier to assess when the organization can explain what it knows how to repeat and what still depends on exceptional effort.


A question to take into the next review: What would the next team need to reproduce this result without relying on the people who made the first implementation work?


 
 
 

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