Growth Insights & Strategy

Use data to identify and prioritize the key paths for growth

Strategy is more about what you choose not to do than what you choose to do - data helps prioritize and create focus for those decisions

For the past 20+ years, our leaders have been helping companies design, build and deploy growth strategies. Over this time, we've come to learn that strategy has different meanings in different organizations. For some, it means "plan" (the specific actions we will take to move from A to B), for others it means "hope" (the vision we aspire to get to) and for the rest it means "choice" (the proactive decision about what we choose to do and what we don't choose to do).

In our experience, strategy really is all about decision making and choice architecture. It's about understanding the different options that exist and making deliberate choices to invest and execute a select number of those options while making a deliberate choice to stop doing other things. It's about understanding the implications of "Choice A" vs. "Choice B". Make no mistake, choosing to ignore decisions about what not to stop is still a choice - one that uses valuable resources for growth.

Failures in strategy are often the result of not understanding this choice architecture and the different implications of starting and stopping activities. Failures result from resources being spread too thin across too many initiatives or from being overly focused on a single element of the strategy that the rest of the organization gets strangled.

Having a deep understanding of the revenue model and using data to inform the implications of choice can help leaders make better strategic decisions.

USING DATA TO DEVELOP A STRATEGY FOR ADDRESSING TURNOVER

Over the past few years, the labor market in healthcare has been extremely tight, especially for frontline workers. The challenge with high turnover though is that it can have a direct impact on clinical care - so managing turnover is a key strategic issue for most care providers. To do this is not a simple, one-size-fits-all approach. Turnover is a multi-factor issue in most companies and different solutions are needed to holistically address the issue. This is where data can come in. Using internal data, we helped this large autism company identify new insights with regards to turnover and develop a targeted set of solutions that's directly reducing turnover today.

Read the Case Study