GTM Ops**The GTM Newsletter
116 Quarters on Quota and What Every Sales Leader Should Be Tracking, with Bill Binch, Operating Partner at Battery Ventures
Why I picked this
throughback reminder its still about executing the basics
back-to-basics-gtmhuman-first-salesrevenue-platform-consolidation
“Every forecast conversation should start with 'my quota is' not 'my forecast is'”
Key takeaways
- The 'mojo metric' framework: 6 daily pipeline inputs that predict revenue momentum before lagging indicators show problems - operational leading indicator system for sales health
- 5-quarter look-back is the most critical board slide - provides pattern recognition on execution consistency vs one-time wins, separates sustainable growth from lucky quarters
- Battery's anti-playbook approach: doesn't force one-size-fits-all across portfolio, evaluates operational rigor first then adapts frameworks to company stage and market - contrarian to typical VC operating model
- In-person sales teams accidentally outperformed remote at Outreach - real-world experiment showed collaboration/culture impact on enterprise sales outcomes despite remote-first narrative
- Best sales/marketing alignment shows up in board presentations as unified motion, not separate functions - operational integration visible in how leaders present together, not just org chart reporting lines
Why this matters for operators: Sales leaders building operational rigor, VPs/CROs transitioning to advisory roles, portfolio companies needing forecast discipline
I cover AI×GTM intelligence like this every Wednesday.
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AI DevelopmentLenny's Podcast
Humans will keep inventing new reasons why we must stay in the loop with agents
- Human resistance to full AI autonomy is not purely technical—it's psychological and organizational; companies will rationalize keeping humans in decision loops even when agents are capable
- The 'human-in-the-loop' requirement may become a self-perpetuating narrative rather than a genuine necessity, driven by organizational risk aversion and change resistance
- Product leaders at scale (Notion) are observing this pattern, suggesting it's a widespread phenomenon across enterprise AI adoption, not isolated to specific use cases
ai-agent-adoptionhuman-in-the-loopai-governance
GTM Ops**RevOps Impact (Jeff Ignacio)
Comp plans for consumption pricing
- Consumption pricing fundamentally breaks traditional SaaS comp models—requires rethinking sales incentive structures around usage vs. contract value
- Four distinct contract structures exist (pay-as-you-go, uncommitted, committed, hybrid), each requiring different compensation mechanics and sales behaviors
- Enterprise consumption-based deals create tension: customers want flexibility, sales teams need predictability for quota attainment—comp design must bridge this gap
revenue-platform-consolidationconsumption-pricing-modelssales-comp-design
AI×GTMGTM OS: The Future GTM Operator
3 revenue motions your AI is only half wired into
- Model parity has arrived: OpenAI/Claude now trade evenly on core tasks, making 'better AI' a non-differentiator—the edge shifts to integration depth into existing revenue motions
- Waste is quantified: teams paying $17K-$37K/month for AI seats that never touch pipeline generation; real cost is opportunity cost of unused capacity, not subscription fees
- Lean teams have a structural advantage: cannot out-buy larger competitors on model access, but can out-embed them by wiring AI 1 revenue motion deep (pipeline → content → deals) with proprietary deal context competitors haven't seen
ai-sdr-adoptionrevenue-platform-consolidationback-to-basics-gtm
This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.