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We have very little data currently in order to make prioritization decisions, track progress or to understand the pain points of our product. Therefore, I would like to create some dashboards/reports to clearly display this data and use going forward.

The outcome I have come up with is "We enable data driven decision making"

But I am not sure what to use for Key Results. I would like to know the quality of the data/dashboards and how much the data is being used to drive decisions.

How could I measure this?

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    A vision statement is not an outcome. What is it you expect "data driven decision making" to do for you, how did you decide you lack data, and how will you know when you have enough? – Todd A. Jacobs May 23 '19 at 11:38
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Some of the usual metrics for decision-making are time, errors, and cost.

So you can measure how often your projects hit deadlines (% compared to previous results) with your data-driven approach.

How often it resulted in an error (negative target metric).

And I don't think it's going to work for cost but it depends on the nature of what you're doing.

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You're focusing on the process ("data-driven decision making") and not on what you actually want to accomplish (a better product). You should try it the other way around.

Start by thinking about your vision for the product. Where do you want it to go? How do you want people/customers to think of it?

Then start thinking about how you might recognize whether your vision has actually happened: the degree to which the product has arrived at where you want it to be, how people think of it, what characteristics it needs to have, etc. Then start thinking about what sort of data you would want to collect in order to recognize all this, tempered by what sort of data you actually can collect.

Then go out and collect it. In other words, devise a data-collection strategy and implement it. That implementation should be your outcome, and your Key Results should relate to the successful collection of data.

Once you have enough data, and given that you know exactly how each piece of data relates to the vision/strategy, a dashboard/report becomes easy to design. Data-driven decision-making follows naturally.

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