We help people make better decisions with data.
We care about the analysis, and about whether it changed a decision, got used, and created value.
Why we started this
We met building data teams at Nextdoor and saw the same thing over and over. Product managers, engineers and designers waited days for answers they could have found themselves, if someone had taught them how to think about the question.
We started the Data Neighbor Podcast to share what we had learned at Stripe, Meta, LinkedIn, Microsoft and Nextdoor. The listeners and guests made one thing clear: the demand for practical analytical training was bigger than a podcast could serve.
AI Analyst Lab is the answer. Courses, free weekly workshops and team training that teach product teams to think like product data scientists, with AI doing the execution and people owning the judgment.
Learn from people who ran data teams
10+ years in product data science, causal inference and AI evaluation at Stripe, Nextdoor and Ontra.
Ran data at Nextdoor, LinkedIn, Pinterest and Meta. 16+ years teaching product people to decide with data.
14+ years building data science teams at Microsoft, eBay and Nextdoor.
- Product data science thinking: the question, the metric, the decision
- Hands-on work on real scenarios, every session
- Skill first, then AI, then execution
- Decision-making and influence, so the analysis gets used
- SQL or Python from scratch
- Prompt engineering as an end in itself
- Passive video courses
- Certificates for watching
Guests from Airbnb, Salesforce, Coinbase and more, on careers, teams and where AI analytics is going. Hosted by Hai, Sravya and Shane.
Latest episodeTwo live courses on Maven, a free workshop every Wednesday, and training for teams of ten or more.