Staging environment
Free Lesson

Analyze Product Data w/ Claude Code Opus 4.6

Part of AI Workflows for Everyday Productivity

120 min
Feb 27, 2026 12:30 PM
Virtual (Zoom)

In this video

What you'll learn

Run a deep dive analysis in Claude Code

Analyze conversion or retention by segment, spot where drop-offs happen, and quantify where impact is coming from.

Validate results and catch common AI analysis errors

Pressure-test the analysis with sanity checks and sensitivity cuts so conclusions hold up in reviews.

Turn findings into a clear product recommendation

Translate the analysis into structured presentation of “what changed, why, who it affects, and what we should do next”.

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Why this topic matters

Product development teams move fastest when they can answer questions with evidence, not opinions. Too often, analysis stalls in messy definitions, inconsistent segments, or results that do not survive scrutiny. Claude Code can massively accelerate execution, but only if the workflow includes validation. This lesson shows an end-to-end product analysis deep dive you can reuse yourself.

You'll learn from

Shane Butler

Shane Butler

Principal Data Scientist at Ontra

Hai Guan

Hai Guan

Head of Data at Ontra

Sravya Madipalli

Sravya Madipalli

Senior Manager, Data Science @Superhuman (Prev. Grammarly)| Ex-Microsoft

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