August 27, 2019

In the digital world,

you have to change the decision-making cadence of your business

The frequency and pace of change from digital disruption necessitates that companies can no longer rely on traditional planning and decision-making models. Simply put, they are too slow, too rigid and too process driven to adapt to the new speed of business.

  • A recent research study by Bain & Company found that decision making effectiveness drives 95 % of business performance
  • The UK Institute for Employment found that decision making practices impact 50% of employee engagement

Early adopters of digital transformation initiatives have embraced a just-in-time decision making cadence as the new competitive imperative. It allows them to adapt, adjust and when necessary pivot in real time.

Part of this change involves moving from a traditional hierarchical vertically structured operating model to a cross functional, cross business horizontally structured operating model. The new customer revenue value chain is cross industry, cross category, cross channel, cross device and cross brand which is completely changing how companies make money. Companies must now align how they make decisions with the new way their customers make decisions.

Finding a new decision-making rhythm

In a recent McKinsey study, they asked 1500 executives how frequently they carry out 10 different decision-making practices:

As you can see from the chart above, in all 10 decision making practices, top performing companies increased the frequency and repetition of each one. In doing so, they are acknowledging the necessity to adjust and accelerate their businesses’ decision-making cadence.

All decisions are not created equal

In too many organizations, decision making authority is determined by the hierarchical management structure that supports a silo-based business unit operating model not by the type of decision that needs to be made. This approach favors short term operating performance decisions over long term business growth decisions.

In some cases, most if not all of the information needed to make a decision is available and it’s a choice of picking the best option to deliver the desired outcome. In other cases, there is little or no clear-cut data that suggests one approach vs. another. These different cases necessitate different decision-making models and skills as shown on the chart below:

In all cases, it’s critical that you match the right decision-making process to the type of decision that needs to be made. To achieve the right alignment you need to develop, implement and communicate a clear and concise decision-making governance model. This model identifies and delegates decision making rights and accountability throughout the entire organization. It’s built on transparency and trust and is designed to equate decision making accountability with business outcome accountability.

This governance model should also extend to your data management process so it can expedite getting the right data to the right person depending on the specific decision criteria. Achieving operational excellence with both these models and processes should be at the top of your critical priorities list.

Push more decisions to the edge

The speed and complexity of change from disruptive technologies puts an even greater pressure on the need to change the decision-making cadence of your company. The risks of taking too long to make a decision in many cases outweigh the risk of making the wrong decision, especially if you can learn from it and quickly make a new and better decision.

The good news is that there is still a lot more we don’t know than we do know about what it will take to effectively compete as a digital enterprise. While it’s tempting to point at Amazon, Facebook, Google, Netflix and Uber as the models for success, the latter two still haven’t generated a single dollar of profit and the other three are facing major legal and regulatory hurdles that could dramatically change the way they have to do business.

What does seem to be emerging as a faster and more nimble process is to push as many decisions as you can as close to the customer as possible. I think it can be said that edge computing will foster the need for edge decision making.

Some decision-making lessons to be learned

While we are still early in this new decision-making journey, I think there are some early lessons to be learned:

  • Decision making effectiveness drives business performance and employee engagement
  • Top performing companies significantly increased the frequency and repetition across all major decision-making practices
  • Hierarchical management structures and silo based operating models create decision making bottlenecks and roadblocks
  • Good decision-making governance identifies and delegates decision making rights and accountability throughout the entire organization
  • Edge computing will necessitate the need for edge decision making
  • Most decisions should prioritize progress over perfection and quickly share the learning and insights from early experiments or mistakes
  • It’s critical to differentiate short term performance decisions from long term business growth decisions

If you have additional lessons you think can and should be learned, please send them to me. As I said, these are still early days in the world of digital decision making so anything you’re willing to share would be much appreciated.

As always, I am interested in your comments, feedback and perspectives on the ideas put forth in this blog. Please e-mail them to me here. And, if this content could be useful to someone you know please share it here: