Articles
- Your AI Feature Ships Fast. Your Quality Loop Is Now the Job.
AI feature deployment demands a shift from traditional quality checks to continuous evaluation of outputs, emphasizing human judgment and iterative improvements to maintain user satisfaction and product integrity.
- The binge is over. Now you owe your users a finish line.
As users increasingly favor short, complete experiences over lengthy commitments, product and UX leaders must design features that offer immediate value and clear endpoints to enhance retention and engagement.
- The Agent Demo Works. The Migration Doesn't.
The ease of setting up AI agents for demos often masks the complexities and inaccuracies that arise in real-world applications, necessitating robust verification processes to ensure reliable performance and outcomes.
- Your Fans Are Now Your Research Department
Brands are increasingly aligning their strategies with audience preferences and behaviors, leveraging existing fan communities and data insights to drive engagement and loyalty while minimizing the need for new product development.
- When Building Gets Cheap, Your Roadmap Stops Working
As build costs plummet, traditional roadmap strategies falter, prompting a shift towards prioritizing features based on learning value and reversibility to maintain effective decision-making and customer-focused outcomes.
- The buyer who wants your product forever, and your free tier gone by Tuesday
Bending Spoons' acquisition strategy focuses on revitalizing stalled products with strong user bases by optimizing pricing and features, offering a model for product leaders to enhance retention and profitability.
- Your Most Credible Creator Might Already Be On Your Payroll
Starbucks is paying baristas to make TikToks. Here's what the creator economy teaches product leaders about building real audience trust.
- Your Agent's First Reply Is a Retention Decision
Default prompts, agent tone, and eval scores predict AI feature retention. Here's what the data shows and what to fix on your team first.
- Attention is the product. So is walking away from it.
Tinder made a TikTok dating show while a $59 gadget locks your phone. Here's what the engagement versus attention split means for your product team.
- Your AI Product Doesn't Behave Like Your Old One. Your Metrics Should Change Too.
AI product OKRs should measure what users do, not model accuracy. Here's how to write behavior-based key results and version-control your PM workflow.
- Your AI Budget Just Became a Line Item.
Token rationing is here. Here's how design and product leaders should govern AI inference cost before finance does it for you.
- Your A/B Test Wins Are Lying to You
AI floods your team with variants while your experimentation discipline slips. Here's what breaks, and what to check before you ship the next winner.
- Cheap agents just got here. Test them on your own work before you ship.
Anthropic's Sonnet 5 makes agentic AI cheap, and eval shops like Arena are booming. Here's how to benchmark models on your tasks before betting a feature.
- Your CSAT Score Is Lying to You, and Voice Input Is About to Change Your Team's Workflow
CSAT breaks down as AI handles more support conversations. Here's how to measure customer experience at scale and why voice input is worth a real look.
- Your AI feature works. Nobody can tell if it's lying.
New human-AI design principles give product teams real guardrails for the AI features they already shipped. Here's what changed and what to do Monday.
- The people who lasted didn't chase the algorithm, they chased the thing that still felt fun
What VidCon 2026's longest-running creators reveal about durability, and why product leaders selling to creators should care about burnout more than reach.
- Config 2026 Put a Number on Your Design System Debt. It Didn't Hand You the Budget.
Figma's Config 2026 tools make design system debt visible to everyone. Here's what changed and what to bring to your next planning review.
- Ford Hired the Gray Beards Back. Here's What That Tells You.
Ford rehired veteran engineers after AI missed its quality bar, and new research shows calling agents coworkers makes your team worse. Here's what to do.
- The Most Defensible Design Move Is Building Less
Adaptive reuse, grown color, and plant-waste materials all point to one sustainable design move: build and consume less. Here is what it means for your team.
- Your Research Data Has Strangers In It
Survey bots, smart incentives, and baselines are the three levers that keep your user research credible when AI noise is everywhere. Here's what to do.
