Optimizing AI-Enabled Creative Features for Gen Z Through Remote UX Research

AI Feature Concept UX Research with Gen Z

Technology Case Study: Generative AI UX Research for Gen Z

A consumer-facing digital communication platform partnered with Touchstone Research to conduct remote qualitative UX research with Gen Z teens and young adults to evaluate a new AI-powered creative feature. The study focused on assessing usability, mental models of AI capabilities, and user flow friction to provide directional guidance for pre-launch design refinements.

What this case study covers:

  • Mapping Gen Z user expectations against early-stage Generative AI feature mockups.
  • Evaluating user interpretation of AI-enabled functionality within a creative context.
  • Identifying specific usability friction points through remote screen-sharing interviews.

Study Snapshot

The Business Challenge

The client, a prominent digital communication platform, was developing a new AI-powered creative feature designed to support user self-expression.

Before releasing the feature to the public, internal teams needed to validate the concept with their core demographic: Gen Z. The primary challenge was to understand how users would interpret the AI capabilities and whether the proposed user flow was intuitive. The client needed to identify:

  • How users interpreted the concept upon first view.
  • Whether expectations of the AI functionality matched the system’s capabilities.
  • Specific areas of confusion or friction within the experience.
Gen Z AI UX Research in action

The Research Solution

Touchstone Research designed and executed a remote UX qualitative study to capture real-time feedback on the proposed feature.

Leveraging deep expertise in Youth & Family and Gen Z research, the team recruited teens and young adults for remote in-depth interviews (IDIs). The sessions utilized screen-sharing technology, allowing participants to review early-stage feature mockups and walk researchers through their thought processes as they navigated the experience.

Deep Dive: For expert tips on conducting research with teens and young adults, check out our guide: Gen Z Qualitative Research: 5 Key Strategies for Deeper Engagement.

Research Design

  • Remote UX Interviews: Participants joined virtual sessions to ensure convenience and capture natural digital behavior.
  • Screen-Sharing Mockups: Users interacted with visual concepts of the AI feature while narrating their experience.
  • Expectation Mapping: Moderators probed users on what they expected the AI to do versus how it actually performed in the concept.
  • Real-Time Observation: Client teams observed the sessions remotely to gain immediate empathy for the user experience.

Why This Approach

A remote qualitative approach was essential for two reasons: it aligned with the digital-native communication style of Gen Z, and it allowed for the rapid evaluation of visual assets without the need for a fully functional prototype.

By focusing on UX Research specifically for Generative AI, Touchstone was able to move beyond simple “likes/dislikes” and uncover the mental models Gen Z users apply to AI tools. This method ensured that participant feedback was grounded in how they naturally engage with new digital features.

Key Insights

Insight: Interpretation of AI Capabilities The research surfaced specifically how Gen Z participants interpreted the AI-enabled feature concept and their expectations for how the experience should function.

→ Implication: These learnings provided early directional input to align the feature’s design with user expectations.

Insight: Usability Friction & Flow The study identified specific areas of confusion and friction within the proposed user flow as participants navigated the experience.

→ Implication: Identifying these pain points allowed the client to prioritize specific usability refinements prior to launch.

Insight: Concept Clarity & Refinement Participants provided direct feedback on the clarity of the concept and highlighted opportunities for improvement.

→ Implication: The findings informed internal discussions regarding feature design and positioning, supporting confident decision-making for the final release.

Business Impact

The research provided the client with confidence and directional guidance during a critical pre-launch phase.

  • Prioritized Refinements: The findings helped the product team identify and prioritize specific design changes to smooth out friction points.
  • Aligned Internal Teams: Hearing directly from Gen Z users helped align design, product, and marketing teams on how to position the feature.
  • Risk Mitigation: By identifying areas of confusion early, the client was able to address usability issues before development was finalized, ensuring a smoother rollout.

Services Provided

Partner With Touchstone Research

Are you developing new digital features or exploring Generative AI concepts?

Touchstone Research brings deep expertise in UX Research and Next-Gen Audiences to help you validate concepts, optimize designs, and launch with confidence.

Contact our Gen AI UX research team to discuss your next research objective.

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