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

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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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Human-AI Intersectionr/ClaudeAI

The AI not just fired us, It made our team irrelevant.

  • AI analytics tools are enabling 7:1 team consolidation in data/insights roles - entire teams replaced by single maintainer plus AI
  • Implementation pattern: consultant extraction of institutional knowledge → 3-month tool deployment → team elimination
  • The 'AI doesn't have a salary, neither a family that has to eat' framing reveals the economic inevitability companies are acting on, regardless of human impact
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AI DevelopmentRedpoint (Tomasz Tunguz)Victor's pick

Not Prompts, Blueprints

Ties to what I wrote on executing PRDs and long running loops

  • AI capability evolution enables shift from sequential prompting to parallel workflow execution - models can now 'hold complex tasks in their heads' vs a year ago
  • User behavior must evolve from reactive (prompt-response-prompt) to proactive (blueprint-then-execute) to unlock true leverage - planning upfront eliminates human bottleneck
  • Visual workflow blueprints (hand-drawn diagrams) work effectively as AI inputs - anticipating decision branches and edge cases before execution is the new skill
ai-coding-toolsai-writing-workflowsautomation-stacks

This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.