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πŸ› οΈ 200 Figma variables. Two seconds.

February 25, 2026

What makes good digital products work.

A weekly read for people who design, build, lead, and improve digital products. The decisions, details, and trade-offs behind better product work.

unicornclub.dev

Hey πŸ‘‹

This week - a tool for offloading design-system busywork without losing design decisions, a validation layer that catches malformed components before they escape, and a tracking method that shows exactly where research recommendations die.

Enjoy πŸ¦„ - Adam at Unicorn Club.

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Think about these:

Build: Try an MCP tool for design-system library work before building manually.

Shape: Add a validation check that rejects malformed component usage before it ships.

Ship: Log each research recommendation with "Goal:" and "Shipped:" to track what reaches users.

Top 3 this week πŸ‘‡
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Build: The MCP Tool That's Changing How I Use Figma  β†—οΈŽ

Offload the library mechanics and keep the design thinking.

Why: MCP tools like Figma Console can automate repetitive design-system tasks (200+ variables in seconds), freeing time for the experience work that matters.

Adopt: Before the next library build, try an MCP tool for variable creation and component mapping.
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Shape: Your design system has opinions. They're just not being enforced  β†—οΈŽ

Documentation says modal needs actions. Production shipped without them.

Why: Without enforcement, design systems become hope: rules written down, trusted to be followed, discovered broken in production when a user stares at a dead end.

Adopt: Add a validation check that rejects malformed component usage before it leaves the design file or codebase.
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Ship: Tracking Adoption of Research Recommendations: The Recommendation-Adoption Score  β†—οΈŽ

Treat recommendations like inventory. Track where value gets lost.

Why: Research recommendations represent time, energy, and money, but without structured tracking, adoption gets overstated and breakage stays hidden until credibility takes a hit.

Adopt: For your next study, log each recommendation with "Goal:" and "Shipped:" labels so you can track what actually reached users.
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AI Coding Summit (Online, Feb 26–27, 2026) β†—οΈŽ

Online event (4 PM CET) covering AI-assisted software development and AI engineering, with talks and workshops on agentic workflows, code review, refactoring, and AI-assisted testing and QA.

Promo code: UNICORN (10% off tickets for AI Coding Summit ).

Dive into more

Shape: How design systems offer creative safety for product teams  β†—οΈŽ β€” Sameness is healthy when things that are the same look and feel the same; unhealthy when things that are different look the same. Use this lens in your next component review.

Shape: The Cost of Consistency: Avoiding Design System Bottlenecks  β†—οΈŽ β€” A rigid system turns a 5-minute padding change into a multi-week migration. Watch for when the "maintenance phase" cost rivals development cost.

Build: LLM-generated skills work, if you generate them afterwards  β†—οΈŽ β€” Self-generated skills before a task do not help. After the task, ask the model to write up what it learned for reuse next time.

Shape: The Technical Decision Framework  β†—οΈŽ β€” A framework for the choices that shape your codebase. Stop second-guessing your architecture, stack, and scope choices. Get the framework engineers use to make decisions they don't regret.

Useful Extras

Ship: A Broken Heart  β†—οΈŽ β€” A 100x speedup from one dumb line of code

Build: Native HTML components don't guarantee good UX  β†—οΈŽ

Build: Potentially Coming to a Browser :near() You  β†—οΈŽ β€” A CSS pseudo-class for pointer proximity

Build: Introducing CSS Grid Lanes  β†—οΈŽ β€” Masonry layouts without JavaScript

Shape: Product Leadership in Government: The Missing Middle  β†—οΈŽ

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Adam Marsden at Unicorn Club

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Adam from Unicorn Club

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