Insights
Notes from practice on product–market fit, research, and AI products people can trust. Written between projects, usually after asking why one too many times.
10 Design Principles for Generative AI Applications
In the rapidly evolving landscape of generative AI, the most impactful products aren’t built by chasing the latest models they're built by deeply…
User Research and Prototypes for AI-Enabled Products
AI-enabled products are on the rise, promising intelligent solutions across industries from predictive recommendations to automated workflows and smart…
7 Ways to Validate Your Product Hypothesis
Conducting user research goes beyond mere data collection; it necessitates a methodical approach encompassing the validation of hypotheses at various…
Leveraging AI for Enhanced Product Insight Extraction
In the rapidly evolving world of product development, understanding your users has never been more critical or more complex. Today, user research teams…
A Practical Guide to Measuring Product–Market Fit
If you're building a product, there's one milestone that changes everything: Product-Market Fit (PMF). It’s the moment your product truly resonates with…
How Dual-Track Agile Supports Product–Market Fit
Reaching product-market fit (PMF) isn’t just about building fast—it’s about building right. One of the most effective, yet often misunderstood,…