The Johari Inequality: “data > methods”
This week we’re both sharing a powerful new episode of High Signal and are announcing an incredible Data Dialog upcoming this Thursday. Stay tuned next time for our regular blog post.
How to Build an Experimentation Machine and Where Most Go Wrong with Ramesh Johari (Stanford, Stripe, Airbnb, Uber, and more)
In the most recent episode of High Signal, we spoke with Ramesh Johari—Stanford professor and advisor to platforms like Stripe, Airbnb, and Uber—about building systems for experimentation that drive innovation and avoiding the traps most organizations fall into.
We explore Ramesh’s key tips for driving results with data science, including:
- ⚡ How to combat organizational risk aversion by running faster, smaller tests that reduce stakes while increasing learning.
- 🔄 Why a successful experimentation strategy requires learning across tests instead of treating experiments as one-offs.
- 🌟 How to set the stage for a self-learning organization, where experimentation fuels continuous improvement and innovation.
🎬 Watch the clip where Ramesh shares how organizations can build a "learning flywheel" to stay adaptive in dynamic environments. And discover the Johari Inequality “data > methods”!
Check out the full episode and show notes or on your app of choice!
[Spotify, Apple Podcasts, Youtube]
Operationalizing Data Science at Scale with Piero Ferrante, CVS Health
We’re thrilled to have Piero Ferrante, AVP & Data Science Fellow at CVS Health, join our next Data Dialog on Thursday 11/14, to discuss operationalizing data science and evolving team structures to meet the demands of very large organizations.
Topic will include
Operationalizing Data Science: Automation and Efficiency
Reimagining Model Maintenance in Enterprise
The Data Scientist Evolution: What’s Next in the AI Era?
Working in a Large-Scale Environment: A CVS Perspective
As a quick reminder, the Data Dialogs are an off-the-record, application-only, virtual forum for data science leaders to get real about the problems they face.
Find out more and apply to join here!