Why the unimportant, urgent stuff gets done first

Posted on Posted in Analytics Strategy, Data Driven Culture, Marketing Science, Technology

Why does it seem like all the unimportant, easy stuff gets done first? Look up The Urgency Bias. Employing simplified games and real-life consequential choices, we provide evidence for “urgency bias”, showing that people prefer working on urgent (vs. important) tasks that have shorter (vs. longer) completion window however involving smaller (vs. bigger) outcomes, even […]

How Data Driven Cultures Tackle CAC

Posted on Posted in Analytics Strategy, Business, Data Driven Culture, Marketing Science, SaaS

Assume that you’re a founder of a tech startup. Assume that you’ve achieved product-market-solution fit. You’ve nailed it. Time to scale. Many founders are great at sales. But not all founders are great at marketing. And that’s a bit of a problem because of three letters: CAC. The Customer Acquisition Cost CAC is the ratio […]

The Data Driven Culture: Startups

Posted on Posted in Analytics Strategy

In this post: Data Driven Cultures in startups should discover product-solution-market fit more reliably than Ego Driven Cultures Data Driven Cultures Carl Anderson, 2015 (Data Scientist at Warby Parker) defines a data driven culture as: Is continuously testing; Has a continuous improvement mindset; Is involved in predictive modeling and model improvement; Chooses among actions using […]

The Data Driven Culture: Strategy

Posted on Posted in Analytics Strategy, Business, Data Driven Culture

Consider the statement: The strategies generated by data driven cultures are likely to produce sustainable competitive advantages. Data Driven Cultures Carl Anderson, 2015 (Data Scientist at Warby Parker) defines a data driven culture: Is continuously testing; Has a continuous improvement mindset; Is involved in predictive modeling and model improvement; Chooses among actions using a suite of weighted […]

Storytelling versus Bullet Points

Posted on Posted in Analytics Strategy

There’s a tension between two modes of communication – comms by storytelling and comms by bullet point. They each have pros and cons. In this post, I’ll summarize the differences. There is no verdict. The bullet point Some speak in bullet points. They’re being the golden threes be’s: Be Brief. Be Brilliant. Be Gone. Their […]

Usability, Numeracy and Empowerment in Analytics Product Development

Posted on Posted in Analytics, Analytics Strategy

There are three important, reinforcing concepts in analytics product development. These are usability, numeracy, and empowerment. Usability is an important goal to pursue in analytics product development, but is no antidote for poor numeracy and empowerment. Usability is particularly important for analytics product development. Good usability enables the non-specialist, the data civilian, or the casual business […]

How to build an Experimentation and Testing Bench

Posted on Posted in Analytics Strategy, Data Science, RecSys, Technology

How do you, and those around you, deal with failure? Because if the answer is anything but “well” or “every fail has a lesson”, then progressive, iterative, experimentation and AB testing really, really isn’t for you. Go away. Stop reading. It’s not everyone. The way to build an experimentation and testing bench is entirely by […]