Inside Gong: How teams work with design partners, their pod structure, autonomy, trust, and more | Eilon Reshef (co-founder and CPO)

January 2, 202556min

Inside Gong: How teams work with design partners, their pod structure, autonomy, trust, and more | Eilon Reshef (co-founder and CPO)

Lenny's Podcast: Product | Growth | Career

Eilon Reshef is co-founder and Chief Product Officer at Gong, a widely adopted B2B product used by sales teams. The conversation explores Gong's unique approach to product development, organizational structure, and decision-making processes that have contributed to their success.
Inside Gong: How teams work with design partners, their pod structure, autonomy, trust, and more | Eilon Reshef (co-founder and CPO)
Inside Gong: How teams work with design partners, their pod structure, autonomy, trust, and more | Eilon Reshef (co-founder and CPO)
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Key Takeaways

  • Pod Model Structure: Each pod consists of a product manager, UX designer, fractional writer/analyst, team leader, and 5-7 engineers working autonomously on specific product areas
  • Design Partner Approach: Every pod works closely with 6-24 design partners (customers) to validate and iterate on new features before full release
  • Decision Making Philosophy: Focus on making quick decisions, even for major "one-way door" decisions, rather than over-analyzing
  • AI Implementation: Balance between leveraging LLMs and maintaining core AI/ML expertise internally for optimal results
  • Initial Focus: Started with an extremely narrow ICP (US companies using WebEx for $1k-$100k software sales) to establish strong product-market fit before expanding

Introduction

Eilon Reshef is co-founder and Chief Product Officer at Gong, a widely adopted B2B product used by sales teams. The conversation explores Gong's unique approach to product development, organizational structure, and decision-making processes that have contributed to their success.

Topics Discussed

The Pod Model Structure (00:00)

Gong organizes their product teams into autonomous pods that own specific product areas or outcomes. Each pod includes:

  • Core team members: Product manager, UX designer, 5-7 engineers
  • Supporting roles: Fractional writer, analyst, team leader
  • Virtual team members: Product marketing, customer success, sales

Working with Design Partners (06:33)

Every pod works closely with multiple design partners to validate and iterate on new features:

  • Scale: 6-24 design partners per pod depending on feature scope
  • Engagement: Regular meetings to show progress and gather feedback
  • Success rate: ~95% feature adoption rate due to close customer collaboration
  • Coordination: Dedicated research coordinator manages design partner relationships

Design Partner Selection and Management (09:13)

The process for finding and working with design partners includes:

  • Selection: Usually existing customers who expressed interest in specific capabilities
  • Coordination: Dedicated research coordinator manages scheduling and relationships
  • Communication: Light coordination with customer success to avoid conflicts
  • Feedback integration: Balance between customer requests and product vision

Autonomy and Trust (17:05)

Gong emphasizes giving teams significant autonomy:

  • Decision-making: Teams empowered to make decisions without constant oversight
  • Responsibility: Teams expected to solicit feedback and drive their process
  • Trade-offs: Leadership accepts less visibility in exchange for higher velocity
  • Culture: Trust that teams will make good decisions with customer input

Speed and Decision Making (27:15)

Eilon advocates for quick decision-making:

  • Philosophy: Many decisions are "51-49" choices where either option is acceptable
  • Approach: Make decisions quickly rather than seeking perfect information
  • Experience: Leverage domain expertise to make faster decisions
  • Impact: Most decisions don't dramatically change company trajectory

AI Implementation and Lessons (31:47)

Key learnings from being early in AI adoption:

  • Balance: Don't rely solely on LLMs - maintain core AI expertise
  • Measurement: Establish metrics to track AI model improvements
  • Expertise: Need internal knowledge to guide AI implementation
  • Integration: Combine custom models with LLMs for optimal results

Building Effective AI Teams (35:50)

Essential roles and skills for AI implementation:

  • Data Scientists: Guide approach and measure effectiveness
  • Prompt Engineers: Optimize LLM interactions
  • AI Specialists: Embedded in product pods
  • Advisory roles: External expertise when needed

The Spiral Method for Learning (38:16)

Eilon's approach to learning complex topics quickly:

  • Start basic: Begin with simple conversations about the topic
  • Expand network: Ask each person for additional contacts
  • Iterate: Continue conversations until new insights diminish
  • Measure progress: Track understanding from 0% to desired level

Initial Customer Focus (41:36)

Gong's highly specific initial target market:

  • Geographic: US-based companies
  • Technical: Using WebEx for video conferencing
  • Deal size: $1,000-$100,000 software sales
  • Language: English-only communication

Conclusion

Gong's success can be attributed to their unique approach to product development, combining autonomous pods, close customer collaboration through design partners, and quick decision-making. Their early adoption of AI and careful balance between leveraging new technologies while maintaining core expertise has positioned them well for continued growth. The company's initial focus on a narrow market segment before expanding has proven to be a successful strategy for achieving product-market fit and scaling effectively.

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