- Tags:: 🗞️Articles , Data Analysis
- Author:: Robert Yi
- Link:: Should we be more persuasive - Substack
- Source date:: 2023-08-15
- Finished date:: 2023-08-23
This may sound obvious, but the lesson to take away here is simple: you should have a recommendation. Data teams are not responsible for simply exposing data — our charter is to maximize the impact of organizations through data.
No Work Without Knowing Why Improve Roi
So enter the messy fray. Ask why, give recommendations, and argue with your stakeholders until you can get to a better representation of what’s true.
We should understand the decision space that our stakeholders are in, then help them to optimally bring the key points of your analysis into it. Your analysis isn’t everything, after all, stop acting like it is.
The tenuous assumption behind everything I’ve written so far is that stakeholders are willing to engage in an intellectually honest discussion with you, which certainly may not always be the case. Your stakeholders might be looking for numbers they like, rather than the truth of the matter. And all I can say in those instances: try to double down and spelunk into your stakeholder’s brains