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The purpose of data is *knowledge*. We shall define knowledge as “theories or models that allow you to predict the outcomes of your business actions.”
Becoming Data Driven, From First Principles
Commoncog
Next, agree upon metrics of success. Eric Ries is great at this, so read his books The Lean Startup and The Startup Way to learn his in-depth methods for what he calls “Innovation Accounting.” But in short, the small team needs a set of metrics to define what a successful experimental outcome looks like. Note, these aren’t long-term business metrics; these are short-term experimental outcomes. Eric calls it validating your blind-faith assumptions.
Ask Your Developer
Jeff Lawson
Don’t Jump Straight to Your Conclusions When preparing for a meeting with stakeholders, we tend to focus on our conclusions—our roadmap, our release plan, our prioritized backlog. More often than not, this is exactly what our stakeholders are asking us to share. Even in companies that espouse a focus on outcomes, we still tend to spend most of our time talking about outputs. The challenge with this approach is that our stakeholders often have their own conclusions. It’s easy to have an opinion about outputs. We all have our own preferences about how a product or service should work. When we anchor the conversation in the solution space, we encourage our stakeholders to share their own preferences. However, these preferences aren’t always grounded in good discovery. After all, it’s our job to do discovery, not our stakeholders’.
Continuous Discovery Habits
Teresa Torres
...catch up on these, and many more highlights
Readwise