Nice write up, and a good example of the kinds of best practices that data analysts should adopt from the world of software engineering. The main recommendation

Nice write up, and a good example of the kinds of best practices that data analysts should adopt from the world of software engineering. The main recommendations are: > Utilize design sprints to help focus your team’s efforts and remove the stress of the ticking clock > Don’t skip on prototyping, it’s a great way to fail early > Avoid machine learning (for first iterations) to avoid being slowed down by unnecessary complexity > Talk to your users so you can get a better sense of what problem they’re facing and what they need in a product It’s useful to consider these recommendations in the context of the AI Hierarchy of Needs [0]. You need to sort out the base of your pyramid as quickly as possible. [0] https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc007 https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc00...