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