Product Discovery

Don’t Let Hype Run Your Product

Observing tech companies you may notice a broad, disturbing phenomenon: everyone’s hard at work “selling” their product ideas — stakeholders and engineers are selling to product managers, product managers are selling to management, and management is selling to everyone (just listen attentively in the next all-hands meeting). As a product manager I too had to

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How To Learn From FAANG

There’s a popular notion that we should copy the playbooks of the most successful tech companies, aka Big Tech. The most obvious sources of inspiration are the FAANG companies: Facebook, Apple, Amazon, Netflix, and Google. So you may be told to Work Backwards like Amazon, use OKRs and 20% projects like Google, or organize according to

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3 Vital Techniques to Work Better with Stakeholders

Working with stakeholders can be tough. Whether it’s sales, marketing, PR, legal, or finance, these folks tend to have strong opinions about the product, and they are often more senior or more influential than you. They certainly are better at negotiation, escalation, and corporate politics. Your company is probably not offering good tools to deal with

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Product Discovery In Reality

These days everyone seems to be talking about transformation, product-based development, and discovery. And yet, I find that many people support these concepts in principle, but can’t truly believe they can work in their companies. They see them as theory, something very futuristic, hard to do, and abstract. I disagree, but instead of giving you

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Enough With Must-Have Features

Here’s a sentence that always fills me with dread: “We plan to adopt this new approach, just as soon as we launch these must-have features.”  The must-have feature list (AKA catch-up features) has become my nemesis—it’s forever standing in the way of progress. Usually it’s a laundry list of things copied from leading competitors, from

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Think Learning, Not Experiments

I regularly meet teams that carry a heavy burden of guilt—they don’t experiment as much as they should. They aspire to build-measure-learn, but they mostly design-build-launch. They wish to run dozens of experiments per month, but barely squeeze-in one per quarter (and even that is typically a late-stage “MVP”.)  Both the teams and their managers

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