A Data-Informed Culture

01/28/2022 Collected and organized by Valmeek Kudesia

Focus on truth-seeking, impact, measurement

  • Data is primary vehicle for decision-making & learning; intuition & experience is context; compassion sets destination

  • Align on unifying metric

  • Cultivate [[high-expectation-customers]] for internal analytics products

  • Appreciation of [[campbells-law]] and [[conways-law]]

  • Must have [[appreciation-of-organization-as-system]]

  • Must cultivate [[system-of-profound-knowledge]], [[systems-thinking]]

  • Must progress steps to data-informed culture

Expansive use of analytics products & team

Not just a service, everyone who need to use

  • Analytics informs goals, roadmaps, strategies, product design

  • Democratized access to data and zero-latency self-service delivery

  • Sees analytics teams as guides/teacher NOT rate-limiting step

Culture of learning and experimentation

  • Is a learning organization, has implemented [[steps-to-data-informed-culture]]

  • High data fluency/literacy, appreciates [[use-of-data-at-a-data-informed-org]]

  • Maximizes experiments and re-designs; enables [[learning-requires-metacognition]

  • Aim to [[remove-causes-failure-better-job-with-less-effort]]

Efficient roadmap process

Make future state happen

  • Identify with intuition and data

  • Treat with design and execution

  • Continuous virtuous product cycle, not quarterly/annual

  • Draws upon [[constancy-of-purpose]]

  • Traverses [[virtual-value-stream]] and enables [[progression-up-virtual-value-stream]]

References

inspired by https://articles.sequoiacap.com/building-products-using-data