Best practices for great AI experiences

Confidently create AI products your customers love

AI is transforming customer expectations, product design, and marketing. Here’s how to stay ahead: 

  • Create AI products and features that customers trust
  • Meet (and exceed) shifting customer expectations
  • Adapt fast to harness AI’s full potential
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How to create better AI experiences with human insight

Quickly understand customer requirements and reactions to AI, identify the right problems to solve, and understand how your product’s design and structure need to change to take advantage of AI.

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Pinpoint what your customers want from AI
  • Use Live Conversation and self-interviews to rapidly understand customer awareness, attitudes, and expectations for AI. Map out how they are thinking and what they are looking for.
  • Run competitive tests to see what’s appealing (and not) in competitive AI products
  • Learn from the best: watch customers use leading-edge AI products, to determine best practices and problems to avoid
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Spot AI opportunities worth solving
  • Quickly gather reactions to potential AI features, before you spend time building them
  • Stack rank opportunities and identify interdependencies between them
  • Identify whether a solution is compelling to a customer, and whether it addresses a deeply held pain
  • Identify the exact segment(s) that respond to the possibilities you’re exploring
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Reimagine your products to maximize AI impact
  • Rapidly evaluate blue-sky, radical changes to product design, to help you swing for the fences and ensure that you aren’t blindsided by the competition
  • Quickly iterate on sketches, wireframes, and prototypes, so you have a high-confidence design before the engineers start to build it
  • Evaluate users’ emotional reactions to your AI features: Do people find your AI likable and trustworthy?

GUIDE

Effective AI: how to choose the right generative AI features—and build them fast

Discover a proven 10-step framework top innovators use to build AI-powered products that customers actually trust and adopt.

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Effective AI: 
How to choose the right generative AI features – and build them fast
Teaser-image-Report-Generative AI chatbots-overhyped but still underestimated 960x540

Report

Generative AI chatbots: overhyped but still underestimated

Key takeaways: At age 2, the most successful newcomer in tech history has a...
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Report

Pulse Report: The relentless rise of generative AI (High Tech, Q2 2025)

Tech industry insights In the Tech industry, staying ahead of rapid change isn’t just...
Testing AI experiences

Blog

How to test AI: A practical guide for evaluating AI user experience and product design

Anyone who has successfully shipped an app or a digital product can tell you...
UserTesting Chief Scientist Ranjitha Kumar on the Insights Unlocked podcast

Podcast

Embracing the Future of Experience Research

In this week’s Insights Unlocked, Andy MacMillan talks with UserTesting’s Chief Scientist Ranjitha Kumar about the potential of AI in experience research.

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Webinar

Beyond the buzz: AI as a strategic partner to product teams

Hero image for blog and webinar: Advertising about AI: what resonates and why

Blog

Commercials for AI: more reality, less posturing

AI companies are spending heavily on TV commercials, but their ads don’t always resonate...
Adobe’s Katie Cook on the Insights Unlocked podcast

Podcast

Putting AI to work in Experience Research

In this Insights Unlocked episode, Constellation Research’s Liz Miller talks with Adobe’s Katie Cook about AI, how workflows are changing for designers and researchers, and her tips for better cross-functional collaboration.

Google's Alita Kendrick on the Insights Unlocked podcast talking about leveraging AI for UX research

Podcast

How generative AI is reshaping UX research: Lessons from Google’s Alita Alita

Google’s Alita Kendrick shares how generative AI is transforming UX research—cutting analysis time, boosting insights, and enhancing storytelling.

Sumo Logic's Greg Nudelman on the Insights Unlocked podcast presented by UserTesting

Podcast

Why traditional UX is sinking fast—and how to design for the age of AI

Discover how UX must evolve in the AI era with Greg Nudelman. Learn to design intelligent, content-first experiences that truly serve users.

Melissa Garber from Consumer Reports on the Insights Unlocked podcast presented by UserTesting

Podcast

How AI is Shaping UX Research at Consumer Reports

How AI and human insight shape UX at Consumer Reports. Learn how 90 years of data powers AI, with human-in-the-loop research across product, advocacy, and more!

Dr. Sam Howard from Curio on the Insights Unlocked podcast

Podcast

Redesigning Research: How 'Many Wizards of Oz' Brings AI to Life in UX

Discover Dr. Sam Howard’s "Many Wizards of Oz" method for UX research, redefining how AI-driven experiences are designed and tested.

Dawn Procopio on the Insights Unlocked podcast

Podcast

How UX Research for ML is different from UX Research for design

In this Insights Unlocked episode, UserTesting’s Lawrence Williams talks with Dawn Procopio, founder and principal UX researcher at AI-Ethicist.com. They explore the critical role of UX researchers in ensuring that machine learning models are human-centered and ethically sound.

Learn more from our customers

Companies that have used UserTesting to improve their AI features.

Amazon-AWS
Amazon Web Services

Built an AI pricing calculator and customizable search tool.

Read their story
EE (BT) customer story
EE (BT)

Optimized their AI chatbot

Read their story
ZigZag customer story
Zigzag

Cut support requests 27% by improving their AI chatbot.

Read their story
WestJet customer story
WestJet

Used AI to improve voice assistance

Read their story
Consumer Reports
Consumer Reports

Built AI into their customer experience

Read their story
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Deezer

Used AI to increase listenership 35%

Read their story

Why optimize AI experiences with UserTesting?

UserTesting helps you build AI experiences that are useful, trusted, and adopted. Whether you're refining a chatbot, training an agent, or launching a new AI product, gather fast feedback from real users to guide discovery, improve usability, and reduce risk.

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Test AI in real scenarios

See how people interact with your AI in real workflows—from exploring use cases to detecting intent and verifying results.

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Validate prompts and responses

Test tone, accuracy, and usefulness. Catch hallucinations or irrelevant outputs before your customers do.

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Recruit the right testers for AI

Target participants with varying AI awareness, use patterns, or domain expertise to match your intended audience.

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Understand mental models

See how users interpret AI intent, logic, and purpose. Identify where your UX or messaging may confuse or mislead.

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Optimize across the full flow

Evaluate every part of the AI journey—from prompt design to follow-up response, personalization, and task completion.

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Accelerate with expert guidance

Work with our team to design smart AI tests, recruit niche audiences, and integrate insight into your product roadmap.

Start building better AI products today, see UserTesting in action