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Leading Design Through the AI Shift
Slack's VP of Product Design, Will Miner, reports that 70 designers are now leveraging AI for rapid prototyping and building internal tools, shifting focus to faster customer value delivery while stressing human judgment.
What: Will Miner, VP of Product Design at Slack, describes how their 70-designer team has embraced AI. Designers now use coding agents for data analysis, rapid prototyping, and even fixing UI bugs, blurring the lines between design and engineering. Miner emphasizes curiosity, skepticism, and maintaining design judgment as core principles.
Why it matters: This article provides a valuable real-world case study from a major tech company on how AI is fundamentally reshaping design workflows and team structures. It highlights the strategic imperative for design leadership to guide teams through rapid technological shifts while preserving the irreplaceable human elements of taste and value judgment.
Takeaway: Designers should actively experiment with AI tools to understand their capabilities and limitations, focusing on how AI can accelerate value creation rather than dilute human judgment or craft.
Deep dive
- AI has significantly transformed design workflows at Slack, with approximately 70 designers now using it.
- Designers are leveraging coding agents for tasks like data analysis, rapid prototyping, and building custom internal tools, even fixing UI bugs themselves.
- This has blurred traditional boundaries between design and engineering roles, with designers creating executive demos in code rather than just Figma mockups.
- Slack's VP of Product Design, Will Miner, advocates for leadership guided by principles of curiosity, skepticism, and owning the design judgment at the table.
- Miner encourages designers to personally try AI tools to discern hype from reality, but without mandates or quotas, allowing teams to explore freely.
- He stresses that while LLMs can generate endlessly, human taste and judgment are crucial for deciding what's worth building and ensuring it resonates with users.
- Miner advises against "sharing slop" – using AI as an excuse to produce low-quality or unnecessary artifacts.
- He acknowledges the increased stress and uncertainty for designers and encourages patience and breaks, recognizing the challenge of learning amid industry shifts.
- The core message is to use AI to move faster and create customer value more efficiently, without sacrificing quality or human oversight.
Decoder
- Coding agents: AI programs capable of generating, analyzing, or debugging code based on instructions, used here by designers to build prototypes or tools without extensive manual coding.
Original article
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