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Slack's First Product Manager on How to Make a Firehose of Feedback Useful

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First Round Review
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Tips for sifting through massive amounts of qualitative and quantitative data

Pursue goals, not numbers

  • Focus narrowly and doggedly on your company’s top-line goals (everyone needs to know why they're doing what they’re doing)
  • Regularly revise your goals
  • Be consistent about sharing your priorities internally

Smarter hypotheses yield smarter insights

  • Remain aware of the big picture, and know when to adjust your theory accordingly.

Know your biases to keep them in check

  • Biases are unavoidable, so be explicit about how you’ll control the most common sources of bias (Selection Bias, Confirmation or observer bias, Reporting bias)

Combining qualitative and quantitative data

  • Quantitative data can tell you if something is wrong, and qualitative can tell you why. Combine both data types to get a better understanding.

Gather the right data

  • Getting actionable qualitative data is often a matter of going out and finding it.
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