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Lessons from Slack on decision making, product-led growth, and taking big swings — Noah Desai Weiss

In Depth

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The Importance of Data-Driven or Quantitative Thinking in Product Development

Slack CEO Slack says the company's feature work is 75% data-driven, 25% "taster-of-in" Work on new features begins by articulating which customers it wants to solve for and what impact they think that will have. The next level of thought is why do you think this approach would actually help them? And then there's a third bit: What impact do you expect this to have, whether measurable or immeasurable? Depending on that impactyou can decide if something should be tested as eye-pauphasis or not.

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