If one engineer at a startup tries Slack and says, 'I hate it. I am not going to use this,' that's it for us. We won't get evaluated.
Stewart ButterfieldRead
Hard numbers tell an important story; user stats and sales numbers will always be key metrics. But every day, your users are sharing a huge amount of qualitative data, too - and a lot of companies either don't know how or forget to act on it.
Interpretation
Quantitative data is essential, but qualitative insights from users are equally important and often overlooked.
Stewart Butterfield emphasizes the significance of both quantitative data, like user statistics and sales figures, and qualitative data, which includes user feedback and experiences. He notes that while companies may prioritize hard metrics, they often neglect the valuable insights that can be derived from the qualitative data shared by their users, leading to missed opportunities for improvement and connection.
In practice
In a meeting about user engagement, this quote can highlight the importance of both metrics and user feedback.
If one engineer at a startup tries Slack and says, 'I hate it. I am not going to use this,' that's it for us. We won't get evaluated.
When technological advancement can go up so exponentially, I do think there's a risk of losing sight of the fact that tech should serve humanity, not the other way around.
An algorithm must be seen to be believed.
With work increasingly invisible, it's much harder to grasp the human effects, the social contours, of the Internet economy.
Connectivity enables transparency for better government, education, and health.
Let us hope that the advent of a successful flying machine, now only dimly foreseen and nevertheless thought to be possible, will bring nothing but good into the world; that it shall abridge distance, make all parts of the globe accessible, bring men into closer relation with each other, advance civilization, and hasten the promised era in which there shall be nothing but peace and goodwill among all men.
The merger of globalization and the I.T. revolution means new products are being phased in and out so fast that companies cannot afford to wait until the end of the year to figure out whether a team leader is doing a good job.
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