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๐Ÿ”— Add theory of change note to data and metrics docs

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Data Culture.md
··· 37 37 - If data is the most precious asset in a company, does it make sense to have only one team responsible for it? 38 38 - [People talk about data as the new oil but for most companies it's a lot closer uranium](https://news.ycombinator.com/item?id=27781286). Hard to find people who can to handle or process it correctly, nontrivial security/liabilities if PII is involved, expensive to store and a generally underwhelming return on effort relative to the anticipated utility. 39 39 - The purpose of becoming data driven is to build a causal model of the business in your head. The purpose of doing all this work is that you want to understand how your business actually works and grows, not rely on superstitious beliefs about how your business works and grows. 40 + - Treat this as a theory of change: action -> output -> outcome -> impact, and test assumptions at each step. 40 41 - You become data driven by looking at the data and not that much by hiring/expanding the data team. You can't outsource it. 41 42 - [The pain in data teams come from needing to influence PMs/peers with having little control of them. Data teams need to become really great internal marketers/persuaders](http://web.archive.org/web/20210827235335/https://anchor.fm/census/episodes/The-evolution-of-the-data-industry--data-jobs-w-Avo-CEO-and-Co-founder-Stefania-Olafsdottir-e16hu1l). That said, it shouldn't be the data team job to convince the organization to be data driven. That's not an effective way of spending resources. 42 43 - Executives are expected to be data driven, even if they don't know what it means.
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Metrics.md
··· 29 29 3. Decision rule โ€” how will you decide if the thing you're measuring should be included in the count? 30 30 - A process is predictable if it just contains routine variation. It is unpredictable if it contains both routine and special variation. You can only improve a process if you first make it predictable. 31 31 - Metrics should help forming a working causal model of the business you're in so you know what interventions you can make and can predict the consequences. 32 + - A metric set should map to a theory of change: input, output, outcome, impact. 32 33 33 34 ## Good Metric Checklist 34 35