Despite a clunky, multi-screen setup requiring users to copy and paste API tokens, 80% of early adopters completed the process. This incredible tolerance for friction was an undeniable signal that they were solving a desperate need in the market.
Instead of setting early revenue targets, new products should focus on a more telling metric: getting a small cohort of sophisticated users to become obsessed. This deep engagement is a leading indicator of product-market fit and provides the necessary insights to scale to the next 50 users.
Product-market fit isn't just growth; it's an extreme market pull where customers buy your product despite its imperfections. The ultimate signal is when deals close quickly and repeatedly, with users happily ignoring missing features because the core value proposition is so urgent and compelling.
You've achieved product-market fit when the market pulls you forward, characterized by growth driven entirely by organic referrals. If your customers are so passionate that they do the selling for you, you've moved beyond just a good idea.
Sales are a vanity metric for product-market fit. The real test is having ~25 customers who have successfully implemented your product and achieved the specific ROI promised during the sales process. If you don't have this, you have a product problem, not a go-to-market problem.
Polly's core viral loop wasn't just about initial adoption. They discovered that 12% of users who first interacted with the product by responding to a poll would then become creators themselves, creating a compounding, multi-generational growth engine within organizations.
To drive adoption of automation tools, you must remove the user's trade-off calculation. The core insight is to make the process of automating a task forever fundamentally faster and easier than performing that same task manually just once. This eliminates friction and makes automation the default choice.