Dr. Mario's 2nd 🧠

Designing & Building Metric Trees

2 min read

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Happens with everything! 🗞️ How to read self-help

…nothing we’re going to talk about today is that revolutionary, it’s not mind-blowing. What’s revolutionary is taking it seriously, what’s revolutionary is actually taking the implication seriously and orienting data teams and companies around this idea (View Highlight)

the value of data for 90% of companies it’s really just answering these four questions: what happened, why did it happen, what’s going to happen next and what should we do about it right or what should we do to bring it into effect (View Highlight)

Data team vision and mission . Also see How Duolingo Reignited User Growth:

how I position data teams, the raison d’etre for my data teams and my growth teams is your job is to help the company define, understand, evolve and operationalize your growth model (View Highlight)

how do you get domain context? I know of no better way to facilitate the transfer of domain context and to first express that tacit context into a metric tree (View Highlight)

Knowledge repos:

…one of ourstruggles was a struggle that probably many of you are familiar with which is we do all of this analysis, we do all this experimentation, we put into notebook and it never sees the light of day, right? no one ever talked about it again (…) the way we went about solving that problem was to actually shelve all the analyzes, all the experimentation behind a metric tree and to make the metric tree the primary interface (View Highlight)

✍️ Refusing to stand on the shoulders of giants:

Companies aren’t snowflakes (…) 90% of the dashboards at a company could be standardized.

when I joined flexboard there were 2700 dashboards and there were 600 people in the company so that’s a, you know, several dashboards per person (View Highlight)

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