In this episode, I cover:

* Common mistakes teams make when prototype testing becomes routine or rushed.

* A method for deciding whether a prototype test is even the right approach.

* Clear goal-setting techniques that make your test focused and relevant.

* How to define metrics that show both research quality and product value.

* Writing user tasks that reflect real behavior and reveal friction points.

Key Takeaways:

* Low-fidelity prototypes limit learning. If your design doesn’t give people room to explore, or fail, you won’t see how they truly interact with it. Higher fidelity versions are much more effective for unmoderated studies.

* Not every question needs a usability test. If you’re looking to understand motivations or needs, observing task flows may not be the right method. Start by asking what kind of data you’re actually trying to gather.

* Goals guide everything. Strong prototype tests begin with clear goals. They shape the tasks, help with team alignment, and create a direct line between what you learn and what changes.

* Track outcomes that matter to your team. Define a few ways you’ll measure success before the test begins, such as friction points found, task completion behaviors, or whether changes from the study affect real usage.

* Write tasks people can relate to. Use short, specific scenarios rooted in familiar behavior. Instead of vague prompts, give people a purpose and context so their actions reflect how they’d use the product in real life.

The prototype guide:

Grab the full prototype guide with all the examples and formulas here and try it out with your next project (or with a project you recently did!).

Try Optimal:

Want to try this out on Optimal? You can grab a 20% discount using code Prototype2025 at checkout

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Interested in sponsoring or advertising on this podcast? I’m always looking to partner with brands and businesses that align with my audience. Reach out to me at [email protected] to learn more about sponsorship opportunities!

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