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#241 Data Product Success Metrics - A Kinda Deep Dive - Mesh Musings 51
Episode 24120th July 2023 • Data Mesh Radio • Data as a Product Podcast Network
00:00:00 00:17:30

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Key summary points:

  • At the start, it's more important to start measuring than it is to measure the right things. Do NOT let analysis paralysis hold you back.
  • Similarly, your success metric measurement framework will probably suck to start. Oh well, get to measuring.
  • Create a framework and tooling/platform capabilities - where necessary/useful - to make measuring and reporting against success metrics simple. That framework should be about defining the metrics and especially how to measure, not what success looks like for individual data products.
  • Use fitness functions
  • Good metrics to consider in order of usefulness: user satisfaction, user value, data quality, time to business decision, delivery to expectations, time to update (can be squishy), and usage

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