# Design Speed vs Design Rigor: A Conversation with Mike Schindler (Glaringly Obvious)

**URL:** <https://forum.zurb.com/t/design-speed-vs-design-rigor-a-conversation-with-mike-schindler-glaringly-obvious/43>\
**Category:** Community\
**Created:** [June 20, 2025, 7:28pm UTC](https://forum.zurb.com/t/design-speed-vs-design-rigor-a-conversation-with-mike-schindler-glaringly-obvious/43 "2025-06-20T19:28:35Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Bryan](https://yyz2.discourse-cdn.com/flex034/user_avatar/forum.zurb.com/bryan/32/448_2.png) [@Bryan](https://forum.zurb.com/u/Bryan)\
**Post date:** [June 20, 2025, 7:28pm UTC](https://forum.zurb.com/t/design-speed-vs-design-rigor-a-conversation-with-mike-schindler-glaringly-obvious/43/1 "2025-06-20T19:28:35Z")

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In this conversation, Mike and I talk about what happens when design gets _too_ fast. AI makes it easy to jump from idea to output, and that’s exciting, but also dangerous. Because when something _looks_ done, teams often _act_ like it’s done.

Check out the conversation:

> **[Glaringly Obvious with Mike Schindler](https://glare.helio.app/interviews/mike-schindler)**
>
> Podcast Interview: What If “Good Enough” Is Actually the Problem?

That’s where satisficing creeps in. We settle for what feels good enough instead of pushing for what’s actually right. And that’s a problem, especially in environments where rigor, feedback, and user testing are optional instead of essential.

 ![design-decision-making2](https://canada1.discourse-cdn.com/flex034/uploads/helio/original/1X/b0b71c7476411da06a1d8d04bcd1ff6a8f75a777.png)

One line that stuck with us:

> **“Speed is taking up all the oxygen in the room.”**

We’ve all shipped fast, skipped the hard questions, and realized later that users just didn’t care. Mike reminds us that slick isn’t the same as smart. And AI isn’t a shortcut to insight.

* * *

- Are teams being pressured to adopt AI before they’re ready?
- Should AI-driven workflows replace human judgment?
- How do we bring back the friction that leads to better decisions?

💬 **Discussion**  
How are you managing AI in your own design work?

Are you setting metrics around **decision quality, comprehension, or usefulness** or just speed?

Have you fallen into the “looks good” trap?

Let us know how you’re navigating the push for speed vs. the need for rigor.