Leveraging AI for Product data analysis

What used to take DAYS of SQL/Javascript/Python writing now takes SECONDS with natural language queries. The leverage you have today with AI is extraordinary.

Sachin Rekhi, Founder & CEO at Notejoy, showed us how AI is democratising data analysis. Details below.

👉 For context this is how we got here.

 • May 2024: ChatGPT added interactive charts and table to ChatGPT-4 

 • Oct 2024: Claude introduces data analysis tool with JavaScript capabilities

 • Nov 2024: Claude changed the game entirely with Model Context Protocol (MCP) - a plugin architecture connecting AI directly to a variety of servers including major databases.

💡 The beauty of this architecture:

Write server code once, connect to database once, and then use with ANY LLM supporting the protocol.

This is significant for Product/Sales/Marketing because:

 • Natural language replaces complex SQL

 • AI automatically identifies table relationships

 • No specialised knowledge needed for complex data structures

 • Instant visualisations and insights

Sachin demonstrated this by analysing product customisation in his note-taking app, NoteJoy, through simple questions like 

"show me a pie chart of what percentage of users have added a profile image"

The implications are profound. Data analysis is no longer bottlenecked by technical specialists and product teams can now explore questions rapidly and iteratively.

While limitations exist, organisations embracing these tools now will develop crucial capabilities that only become more valuable as the technology evolves.

#AIProductivity #ProductDataAnalysis #ProductManagement #ProductDataAnalysisWithAI