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Our Approach

Because we see innovation as a function of understanding the story of your organization, our holistic, mixed methods approach to examining your organization's needs for innovation draws from the methods of archaeology.

Archaeologists learn about a civilization from its artifacts by:

  • Conducting a site survey

  • Performing focused excavations

  • Analyzing the find

  • Interpreting findings in terms of the civilization under study

The final result is a story about the civilization that helps us understand what its goals were and how the people worked towards those goals.​

When it comes to your organization's needs for innovation, Johnston Analytics brings a holistic, mixed-methods approach to the "dig" for significant data to tell your "civilization's" story and make recommendations for innovation. We help you identify where, when, and how to implement and sustain organizational and workflow innovation.

We look at the whole organization to understand how your business processes and workflow work together (or not!) to support performance and other outcome goals.  Mixed methods approaches allow us to look at data and people to inform ideas about what type of innovations would be effective in your organization, where to innovate, how to implement innovative practices of all kinds, how to measure their effectiveness, and how to sustain innovative changes.

 

We use our expertise to help you create a holistic  picture of your business processes and identify organizational and individual performance goals. We examine that picture using easy to understand models and simulations, qualitative and quantitative analytics to generate potential pathways towards meaningful solutions. Insights gleaned from this approach can inform the identification of performance priorities, development of comprehensive implementation plans, and methods to evaluate the effectiveness and sustainability of these plans.

 

An archaeological dig site
Systems dynamics model of a notional business

Notional Systems View of an Organization 

Systems Model
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