TLDR Product Management 2026-01-06

According to Forrester, 88% of engineering, product, and design leaders think prototyping needs to happen earlier. Wait til late in the lifecycle to surface changes and you'll get months of delays.

🤔 But to find issues when you still have time to fix them, you need tools that create editable prototypes, not fully fleshed bad ideas.

In this Miro guide, product leaders get a:

1️⃣ Question set to define requirements & priorities

2️⃣ AI prototyping landscape overview

3️⃣ Tooling evaluation framework + scorecard

Tackle problems early in the lifecycle by accelerating your prototyping strategy. Get the guide to learn how.

Focus means stopping most things so the right few can win. Clarity comes from saying no to everything that doesn't move you toward the mountain.

When code becomes free, judgment becomes the moat. The winners will be those who choose the right problems, learn fastest, and reach the right people.

Metrics are empty without shared intent. Real progress comes from aligning teams on what success truly means and designing work around that clarity.

AI work is becoming orchestration, not execution. Game designers already know how to design interfaces for managing autonomous systems, which is exactly what AI now needs.

Expectations are sky high, but 45% of developer time goes to identity work — almost as much as building the actual product. Read the full Okta/ESG research in Beyond features: product leaders' new mandate for growth, AI, and customer trust. Looking for more technical reading? Check out the JWT Guide for Product & Engineering Leaders.

In a world where AI makes everything easy to build, judgment becomes the constraint. The future belongs to tools and workflows that help humans express intent, interpret outcomes, and decide what truly matters.

AI should make experiences better, not just cheaper. The real opportunity is using AI where it uniquely helps customers, not forcing it into every workflow.

Resolutions fail when success is undefined. Clear measurement creates clarity, reveals the real goal, and turns vague intention into meaningful change.

Great engineers optimize for users, clarity, and trust, not cleverness. Careers compound when you reduce unnecessary work, communicate clearly, and invest in people over time.

An insight isn't a pattern - it's a mechanism that forces a decision.

Every interaction is training.