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feat: 📊 Enhanced guidance on dashboard creation and data culture documentation
- Added a recommendation to integrate visualizations directly into tools where context exists, such as Slack, Jira, or HubSpot, for more impactful dashboards.
- Included a crucial question under Data Culture to emphasize the objective of improvement in data analysis efforts.
- Updated Public Speaking resources, replacing a generic link with specifically relevant resources for presentations, including the addition of Sli.dev.
These updates aim to improve the utility and clarity of our internal documentation on dashboards, data culture, and public speaking resources.
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Data/Dashboards.md
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Data/Dashboards.md
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- Answer three specific questions: [How, What, How](https://youtu.be/g2-dkJkZjiI)?
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- The data will move 1 of three directions; up, down or stay the same. Ahead of time, what will the stakeholder do in each case? Are all three answers the same?
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- Strive to create dashboards that are either standalone or include links to provide the relevant context. Without meaning, data is just digits.
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- Ideally, push visualizations to the tools that have the context (e.g. a chart in a Slack message, a chart in a Jira ticket, a chart in a HubsPot, etc).
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- [Add all the possible context into the dashboard](https://www.youtube.com/watch?v=Kub2bXrKmOE):
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- Instructions.
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- Purpose and explanation of the data being shown.
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Data/Data Culture.md
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Data/Data Culture.md
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- What already happened? Descriptive statistics.
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- What will happen? Predictive statistics.
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- What would happen if…? Scenario analysis.
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- Most importantly, What are we trying to improve?
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- [Stakeholders will always need more data and is hard to say no. Communicating technical complexity to non-technical colleagues can be tough. Some reasons the ask might be hard](https://twitter.com/RichardSwinbank/status/1671780316573310977).
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- You know if the data exists.
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- You know where it is.