The AI-assisted win rate metric deserves more attention. It moves AI measurement from 'activity' (emails sent, calls analyzed) to actual business outcomes. That's how you prove value, not just usage.
Sharique- this is such an important step in proving real ROI to the CFO and investors, as unless it increases revenue, decreases cost and/or increases enterprise value harder to call it ROI...though leading indicators such as productivity lift, increased efficiencies or improved effectiveness will overtime correlate to financial ROI - question is when and is it able to be measured and proven as a causal relationship
This breakdown of the $1M ARR per employee trend is absolutly killer, especially the insight that COGS are the new CAC for AI companies. What really struck me was how Midjourney's 11-person team proves that distribution through community (Discord) can totaly replace traditional marketing departments. We've been experimenting with AI coding tools at my startup and honestly the 40% code generation stat feels conservative, our senior devs are hitting closer to 60% on greenfield projects. The McKinsey case study showing 50,000 hours recovered monthly really drives home how this isn't just about startups, it's reshaping consulting economics too.
Our CTO has a PhD in CS, and is the best SW architect and coder I have ever met - and even he is seeing 5x-10X increase in productivity using Claude Code
Absolutely! AI can have a huge positive impact on the entire GTM process. You are likely to see more stringent success measurements at every stage. We've identified about 80 AI-related metrics that directly affect ROI, covering the entire enterprise. You'll see more of them coming soon.
Thank you for your comment! I think the blockers to building a $1M ARR per employee company are: (1) Your first 10 employees need to be really versatile and exceptional. (2) your product needs to solve a high-value problem, and (3) the product needs to be good enough that the level of support needed is very low.
The AI-assisted win rate metric deserves more attention. It moves AI measurement from 'activity' (emails sent, calls analyzed) to actual business outcomes. That's how you prove value, not just usage.
Sharique- this is such an important step in proving real ROI to the CFO and investors, as unless it increases revenue, decreases cost and/or increases enterprise value harder to call it ROI...though leading indicators such as productivity lift, increased efficiencies or improved effectiveness will overtime correlate to financial ROI - question is when and is it able to be measured and proven as a causal relationship
This breakdown of the $1M ARR per employee trend is absolutly killer, especially the insight that COGS are the new CAC for AI companies. What really struck me was how Midjourney's 11-person team proves that distribution through community (Discord) can totaly replace traditional marketing departments. We've been experimenting with AI coding tools at my startup and honestly the 40% code generation stat feels conservative, our senior devs are hitting closer to 60% on greenfield projects. The McKinsey case study showing 50,000 hours recovered monthly really drives home how this isn't just about startups, it's reshaping consulting economics too.
Our CTO has a PhD in CS, and is the best SW architect and coder I have ever met - and even he is seeing 5x-10X increase in productivity using Claude Code
Absolutely! AI can have a huge positive impact on the entire GTM process. You are likely to see more stringent success measurements at every stage. We've identified about 80 AI-related metrics that directly affect ROI, covering the entire enterprise. You'll see more of them coming soon.
Thank you for your comment! I think the blockers to building a $1M ARR per employee company are: (1) Your first 10 employees need to be really versatile and exceptional. (2) your product needs to solve a high-value problem, and (3) the product needs to be good enough that the level of support needed is very low.