Productivity claims like '40% more productive' are often misleading because they optimize a small slice of total work time. Using a data scientist as an example, if model parameter selection takes only 4% of total work time, a 20% improvement there yields less than 1% overall gain. Marketing reframes narrow improvements as global productivity boosts. A more honest and useful metric is cognitive load reduction, which may not speed up tasks but preserves mental energy for sustained effective work.

5m read timeFrom towardsdatascience.com
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Introduction: False promises?Lies, lies, and marketingA better way? Focus on cognitive load rather than productivity
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