Podcast Monitoring and Recommendations Tool

Project Overview

An AI-powered internal tool that automatically monitors, transcribes, and analyzes podcast content to surface newsworthy insights for editorial teams. Designed to replace manual podcast review, the tool streamlines discovery and content creation across multiple brands.

Business Challenge

One editorial team sought to increase podcast-driven news coverage but was manually listening to 24+ podcasts at double speed to extract relevant stories. This process was unsustainable, time-intensive, and not scalable across the company’s broader editorial operations.

My Role

As Product Manager, I worked closely with my development team to explore the business problem, validate opportunities with stakeholders, and drive the solution from proof of concept to a fully scaled internal product. I defined requirements, coordinated AI/tech integrations, and ensured adoption across editorial brands.

Solution

We developed an end-to-end automated pipeline to transform raw podcast audio into actionable editorial insights:

• RSS Feed Monitoring – Detects new episodes across 400+ tracked podcasts.
  
  

• Episode Transcription – Integrates with a third-party transcription service, producing detailed transcripts with timestamps and speaker separation.
  
  

• AI Topic Review – Leverages AI to identify newsworthy segments, tuned per brand’s editorial focus.
  
  

• Insight Delivery – Provides transcripts, AI-generated insights, and headline recommendations in a user interface tailored for each editorial team.
  
  

• User Notification – Alerts editors in Slack channels when new content is ready for review.
  
  

Business Impact

• Scaled monitoring from 24 podcasts manually reviewed to 400+ podcasts automatically analyzed.
  
  

• Adopted by 15 editorial teams across diverse verticals (celebrity, finance, health, agriculture).
  
  

• For one team alone, the tool is estimated to generate $2M+ in incremental annual revenue.
  
  

• Freed editors from time-consuming manual listening, enabling faster and broader coverage.
  
  

Technical Highlights

• Automated data pipeline integrating RSS feeds, transcription APIs, and AI-based NLP models.
  
  

• AI customization per editorial brand to align with niche content focus.
  
  

• Slack integration for real-time editorial workflows.
  
  

• Scalable architecture designed for continuous expansion to new podcasts and teams.