Hey 👋
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 🦄 - 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 👇
Build: The MCP Tool That's Changing How I Use Figma ↗︎
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.
Shape: Your design system has opinions. They're just not being enforced ↗︎
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.
Ship: Tracking Adoption of Research Recommendations: The Recommendation-Adoption Score ↗︎
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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Dive into more
Shape: How design systems offer creative safety for product teams ↗︎ — 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 ↗︎ — 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 ↗︎ — 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 ↗︎ — 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.
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Adam from Unicorn Club
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