Blog

• Why Accurate AI Models Fail: The AI Product Experience Gap

  Accurate AI models still get abandoned when their value never reaches the user. Close the AI product experience gap with context, not more model tuning.

• How to Build Effective AI Agents (Not Just Accurate Ones)

  Accurate AI agents still get abandoned. Three levers make AI agents effective: speak the user's context, hand over ownership, measure acceptance.

• Employee Dogfooding: Turn Your Staff into Power Users

  How product leaders use employee dogfooding to discover cross-functional AI products fast: one room, pain not features, trust as the north star.

• Product Unbundling: Break a Product Into Sellable Pieces

  Product unbundling breaks a mature product into standalone pieces you can sell to a new persona. The signals it's time, and how to do it without cannibalizing.

• How to Build Product Virality From Behavior You Already Have

  Referral programs are not a growth strategy. Build product virality by finding the behavior users already do around your product, then amplifying it.

• Why Most Enterprise AI Products Never Reach Production

  Only about 6% of enterprise AI pilots reach production. The gap is not the model, it is product discipline. What makes enterprise AI products ship.

• Meaningful, Not Minimal: Scoping AI Features That Earn Trust

  How to scope an AI feature users trust: ship the smallest slice that clears the trust bar, not the smallest thing you can build. A guide for product leaders.

• AI Product Success Metrics: Why Usage and Retention Lie

  AI product success metrics break the old usage-and-retention playbook. How to measure trust, sentiment, and job growth when there is no defined job.

• Raising SaaS Prices Without Losing Customers

  Raising SaaS prices is a product discipline, not a sales afterthought. How to test a price increase, model elasticity, and communicate it without churn.

• Shipping Under a Deadline: Cut Scope, Not Trust

  Shipping under a deadline is a scope and trust problem, not a speed one. How to cut the right features, avoid migration debt, and launch without churn.

• Scaling a Product Is a Mindset Shift, Not a Speed Upgrade

  Scaling a product isn't about making it faster. How to reset users at scale, set scale guidelines that filter the roadmap, and measure the invisible wins.

• Low Feature Adoption Is a Discovery Problem, Not a Gap

  Low feature adoption usually isn't a missing capability, it's a discoverability gap. How to diagnose it, research the non-users, and fix the cheap thing first.

• How to Validate a New Product Opportunity in an Existing Product

  How to validate a new product opportunity inside an existing product: re-check the data, interview the extremes, and test with packaging before you build.

• Can You Create Value by Not Building Features?

  Removing underperforming features cut our product scope by 25% and grew Day 1 retention over 20%. How to find the deadweight, and when to kill it.

• Competitive User Research: Turn Your Competitors Into a Benchmark

  User research without a benchmark cannot tell you if a score is good. Run the same study on a competitor's product, with the SUSHI model.

• Learning a Language in 12 Months, Product-Management Style

  Five product techniques, from north star metrics to outcomes over outputs, applied to learning French from zero to a B2 exam in twelve months.