The Full-Stack Researcher
Guides, Case Studies, & Actionable Advice for Mixed-Methods User Research
How to use PMF Surveys to reach Product/Market Fit Faster (Guide + Case Study)
Superhuman's PMF score was 22%, below the 40% benchmark. Segmentation showed it was really 32% among the right users, and told them what to build. Here's the method.
Web3 Won’t Save Us: How product analytics contaminates decentralized movements
There’s a fatal flaw in the foundations that web3 is being built on. Unless we correct it soon, no amount of decentralization, DAOs or composability will be able to save it.
The Autonomy Gap: The Secret Ingredient for Community-Led Growth
The secret ingredient powering Community-Led Growth for the world's best tech startups.
Does every startup need to solve a problem?
The three traits of a problem worth building a startup on: painful, frequent, and replicable.
The Innovation Fallacy: Understanding When Startups Shouldn't Innovate.
Innovating on everything wastes time and confuses users. Innovate only on your point of differentiation and copy the well-worn path for the rest.
Customer Problem Stack Ranking: How Stripe Validates New Product Ideas
Shreyas Doshi named Customer Problem Stack Ranking at Stripe in May 2020. It ranks your idea against every other problem your customers face. Seven steps, a worked example, and what happened when we ran it on ourselves.
Mixed methods is the most important research skillset of the 2020s
Product-led growth put research at the centre of strategy. The researchers who thrive this decade are the ones fluent in both qualitative and quantitative work.
What is Mixed Methods User Research? A Definition and Examples
Qualitative tells you why, quantitative tells you how many. Mixed methods research combines both. Here are the three designs and when to use each.