Project success requires eliminating guesswork and biased decision-making to acquire a deep understanding of your organization’s ability to deliver results. Nature gives an example of how gathering and organizing real-time data across an enterprise takes any initiative to the next level or beyond your imagination.
A key component of measuring execution capability is the application of swarm intelligence, or hive mind, which was developed in 1989 by Jing Wang, for Cellular Robotic Systems. This concept involves using a swarm platform, such as a REM score, as a network of distributed users contributing real-time feedback, as revealed by Louis Rosenberg, PhD.
Such real-time systems enable groups of people to behave as a unified collective intelligence that works as a single entity to make predictions, answer questions, and evoke opinions. It has been referred to as artificial swarm intelligence, or the brand name Swarm AI, which proves to amplify human intelligence significantly and has resulted in a string of high-profile predictions of extreme accuracy.
Famously, human swarming was used in 2016 to correctly predict the Kentucky Derby superfecta against 541 to one odds in response to a challenge from reporters.
By tapping into the collective intelligence resident in your organization, you will have the ability to identify which initiatives can be delivered and what vulnerabilities they possess. Fourteen key domains outline execution capability metrics on an ongoing basis.
For example, if you have 10,000 people working for you, you have 10,000 perspectives just waiting to be leveraged as a hive mind. In the process, you acquire data about the nimbleness of your organization, your ability to adapt and move forward and identify any bottlenecks or roadblocks.
Ultimately, an execution capability score is a data collection system. You are harvesting data about your adaptability out of your own business daily.
With the power of a hive mind, you will no longer have to rely on opinions. Assumption and guesswork will be replaced by hard facts and clear data. When you start collecting data, the patterns will begin to emerge, revealing which functions or units prevent you from moving forward. You now have something quantifiable to add to your decision-making process.