TPAP EP 4: AI for Partner Programs pt. 4 Partner Sourcing & Scoring

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THE PARTNER AWESOME PODCAST


TPAP EP 4: AI for Partner Programs pt. 4 Partner Sourcing & Scoring

In this episode of the Partner Awesome Podcast, Jason Asher and Ryan Albretsen delve into the transformative role of artificial intelligence in Partner Sourcing & Scoring. They discuss how AI can enhance the recruitment process by moving beyond gut feelings and referrals to a more data-driven approach. The conversation covers the importance of structuring prompts for AI, the dynamic nature of partner scoring, and the potential biases that can arise in AI systems. They also provide a roadmap for implementing AI in partner programs, emphasizing the need for deep research and continuous learning.

Takeaways

  • Partner recruitment is essential for fueling partnerships.
  • AI can transform recruitment from gut-based to data-driven.
  • Effective use of AI requires structured prompts and deep research.
  • Dynamic scoring models can adapt to changing partner landscapes.
  • Bias in AI can lead to missed opportunities in partner selection.
  • Understanding market timing is crucial for partner success.
  • AI can serve as a scout for identifying potential partners.
  • Historical performance data is key to predictive scoring.
  • Implementing AI requires a step-by-step approach: crawl, walk, run.

Sound Bites


  • “The AI becomes the scouts.”
  • “AI can help us think of something better.”
  • “It’s a phenomenal discussion.”

Chapters

  • 00:00Introduction to AI in Partner Recruitment
  • 02:44The Science and Art of Partner Recruitment
  • 05:14Predictive Scoring and AI’s Role
  • 08:11Addressing Bias in AI Partner Selection 09:01Roadmap for Implementing AI in Partner Programs

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