AI Analytics Frameworks
The analytics frameworks that turn data into decisions, shown live with AI. Learn product analytics, what makes a real North Star versus a vanity metric, how experiments actually get read, how to prove impact without an A/B test, and how to tell a data story that lands. Each session is a live demo, and you leave with a prompt pack you can use the same day. No data team required.
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Wed Jul 15·5:00 PM UTC
Product Analytics 101: From Question to Decision with AI
Most analysis never leads to a decision. It stalls in a dashboard, a deck, or a "let me look into it." Getting the answer stopped being the hard part once AI could crunch the data. The hard part is asking the right question and knowing when the answer is good enough to act on. This session is the full workflow from a fuzzy ask to a decision, using AI.
You'll learn from
Shane Butler
Co-founder, AI Analyst Lab
Sravya Madipalli
Senior DS Leader (Ex-Microsoft)
Hai Guan
Head of Data at Ontra, Ex-LinkedIn
Wed Aug 26·7:00 PM UTC
Data Storytelling 101: Build an Exec Readout with AI
Great analysis gets ignored when the story is buried. Getting the answer stopped being the hard part once AI could crunch the data. The hard part is landing it: turning a pile of charts into a readout that makes a busy exec decide. This session is the workflow: lead with the insight, structure the problem, insight, and ask, take a position, and anticipate the pushback before it lands.
You'll learn from
Shane Butler
Co-founder, AI Analyst Lab
Sravya Madipalli
Senior DS Leader (Ex-Microsoft)
Hai Guan
Head of Data at Ontra, Ex-LinkedIn
Wed Sep 16·5:00 PM UTC
Causal Experimentation 101: Prove Impact Without an A/B Test
Most impactful questions never get a clean A/B test. The feature shipped, the change hit everyone at once, or the sample is too small. Pre-post, diff-in-diff, and matching let you estimate real impact from your data, and AI makes running them fast. The hard part is picking the right method and catching the confounders that break your claim. This is the no-experiment causal toolbox, made simple.
You'll learn from
Shane Butler
Co-founder, AI Analyst Lab
Sravya Madipalli
Senior DS Leader (Ex-Microsoft)
Hai Guan
Head of Data at Ontra, Ex-LinkedIn
Wed Oct 7·5:00 PM UTC
Metrics 101: Define a North Star with AI
Most North Star metrics are vanity metrics in disguise. They climb on a slide while retention sits flat, and a whole quarter gets aimed at the wrong number. AI can pressure-test yours in minutes: it checks the definition, tests whether it leads or lags, and breaks it into levers you can move. This session is the workflow for defining a North Star that holds up, and you leave with a checklist.
You'll learn from
Shane Butler
Co-founder, AI Analyst Lab
Sravya Madipalli
Senior DS Leader (Ex-Microsoft)
Hai Guan
Head of Data at Ontra, Ex-LinkedIn