My Product Philosophy

In the competitive landscape of product design, speed, practicality, and a robust business sense form the basis of my approach. It’s a no-nonsense philosophy that prioritizes dynamic iteration, alignment of design and business KPIs, adoption of SMART goals, prioritization of effectiveness before efficiency, and clever conversion of research into marketing material. Furthermore, it emphasizes improving the Net Promoter Score (NPS), respecting the feedback of early adopters, making the most of data acquisition strategies, ensuring no design dead ends, and holding ourselves accountable for every stage of the product lifecycle, not just the initial launch.

Iteration velocity matters more than anything. You may make mistakes when moving fast, but the damage caused by moving too slowly is far greater.

‍Design for business. Stories without measurable business KPIs are anchors. They create design and tech debt, giving your competitors an edge.

‍Design SMART: Small, Measurable, Achievable, Relevant, and Time-Bound. Following the SMART model allows you to accurately identify dependencies and time-box your work.

‍Be effective first, then efficient. Do not overthink going from 0 to 1, 1 to 2, or 3 to 10. You need to experience hand-to-hand combat before you can strategize from the hill.

‍Repurpose research for Go-To-Market (GTM). Every question asked during research represents a Search Engine Results Page (SERP) or a social opportunity. Early on, find ways to transform your research questions and results into GTM assets. Publish early and often.

‍Solve for 7. Elevating your Net Promoter Score (NPS) from 7 to 8 is the most crucial metric to focus on. These are the users who want the product to succeed but probably aren’t ready to switch yet.

‍Obsess over your early adopters. Product-led success depends on the quality and promptness of their feedback. Make it easy for them to provide feedback, have their voice heard, and take action.

‍Unfair data acquisition strategy: Everything we do is data. We invest to curate data, and then we sell it. Our 6-month alpha should demonstrate positive compounding.

‍No dead ends. There should be a true/false story lined up for each story that gets groomed. Start and finish dates from Engineering should be applied to both.

‍Finish the swing. We will be held accountable for iterating, not just for shipping version 1.0. Getting something out the door is fun, but it's crucial to measure how well that thing did.

In essence, my product design philosophy is a blend of speed, practicality, effectiveness, and constant progression. It extends beyond merely launching a product and commits to ongoing learning, iteration, and refinement. A successful product design should be in line with business objectives, make data-driven decisions, strive to enhance the Net Promoter Score (NPS), and pay heed to the voice of early adopters. The ultimate aim is to deliver not just functional products, but also experiences that build loyalty and advocacy among users. This approach ensures that the realms of design and business coexist harmoniously, where quality and speed can go hand in hand, and each product iteration propels us closer to delivering superior user experiences.