The measure of how much high-value decision-making an organization can process per unit of time, accounting for both human and machine intelligence.
Most companies measure output in widgets or lines of code. You should be measuring cognitive throughput. It is the speed at which your organization can ingest information, synthesize it, and execute a decision.
In an era of information overload, the bottleneck is not data. It is the human brain's ability to process it. By offloading routine analysis to AI, you increase your organization's cognitive throughput, allowing your best people to focus on the decisions that actually move the needle.
A firm used AI to synthesize market research, increasing their cognitive throughput by 3x. They could now pitch clients with data-backed insights in hours instead of days.
As a CPO, I realized my team was drowning in data. We used AI to filter the noise, which allowed us to focus our cognitive throughput on product strategy.
Before, our legal team spent weeks on document review. After automating the initial pass, we increased our throughput, allowing us to handle double the caseload.
A firm tried to increase throughput by adding more AI tools without a strategy. The result was more data, more confusion, and slower decisions.
