Are you doing all that you can to enhance the productivity of your knowledge workers? It’s a simple question, but one that few senior executives can answer.
Their confusion isn’t for lack of trying. Organizations around the world struggle to crack the code for improving the effectiveness of managers, salespeople, scientists, and others whose jobs consist primarily of interactions—with other employees, customers, and suppliers—and complex decision making based on knowledge and judgment.1 The stakes are high: raising the productivity of these workers, who constitute a large and growing share of the workforce in developed economies, represents a major opportunity for companies, as well as for countries with low birthrates that hope to maintain GDP growth.
Nonetheless, many executives have a hazy understanding of what it takes to bolster productivity for knowledge workers. This lack of clarity is partly because knowledge work involves more diverse and amorphous tasks than do production or clerical positions, where the relatively clear-cut, predictable activities make jobs easier to automate or streamline. Likewise, performance metrics are hard to come by in knowledge work, making it challenging to manage improvement efforts (which often lack a clear owner in the first place). Against this backdrop, it’s perhaps unsurprising that many companies settle for scattershot investments in training and IT systems.