Make the most of your AI usage by harnessing expert advice on how to use these tools effectively and thoughtfully.
Hello Wanto!
Last week, we covered building critical thinking skills with AI. This week, we're expanding on that idea and moving into AI research applications.
There are so many ways we can transform our user research process with AI, but it's essential that we keep our critical thinking cap on. As helpful as AI is, research and design expertise are the secret ingredient to using this tech intentionally.
If you're ready to start this transformation, deepen your insights, and optimize your projects, you're in the right place. Read on to harness AI with tips like how to align research methods with the right tools and more!
In this article, you'll get access to…
A framework to guide you in optimizing your AI usage in research and beyond
Real-world examples of AI applications in research
Key questions to ask yourself as you integrate AI into your workflow
Follow along as we offer expert strategies on how to use AI thoughtfully. Plus, learn how you can easily budget your participant funds with Dscout Incentive Advisor!
AI can be a powerful tool for enhancing productivity and saving time on mundane tasks when used responsibly. But what does that mean for UXers?
Ilana Krause, UX Researcher at Microsoft and Co-Author of Recalculating for Entrepreneurs, reminds us that the power of AI lies in the choices we make.
It isn't perfect, so we must do our due diligence. Using these tools means a commitment to fact-checking information and checking biases at the door.
Follow along as she offers critical thinking tips for using AI. That includes everything from discerning the best time to utilize AI to re-envisioning it as a useful collaborator rather than a perceived threat.
What research/design subreddits and communities are you reading?
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