2026 (Ongoing)
Designing for calibrated trust and verification in agentic AI meeting tools
Team
Fourward Team: 4 UX Researchers & Designers
Microsoft XSD Team: Principle & UX Researchers
Role
Product Designer & UX Researcher
WIP. Annotated sketch for feature ideation.
Sponsored by Microsoft XSD, I'm leading research and design to understand how workers decide when to trust and when to verify AI-generated meeting outputs.
I'm designing for calibrated trust: verification that matches actual stakes, not blind reliance or constant skepticism.
12
expert interviews conducted
7
user interviews completed
20+
co-design concepts generated
2
prototype focus areas defined
The verification gap: AI generates → users skim → users share
AI meeting tools like Microsoft Teams Copilot can summarize conversations, capture action items, and draft follow-ups. But when outputs go unverified, the consequences compound quietly: summaries become official records even when inaccurate, tasks get missed that were never agreed upon, and leaders make strategic calls on incomplete intel.
Microsoft Teams CoPilot generates AI summaries after user's meetings. These artifacts often go unverified, or very lightly skimmed.
users exhibit blind trust when it comes to microsoft-provided tools.
"No worries! It's CoPilot. It's probably gotten the summary right."
We found that workers are experiencing both overtrust and undertrust when it comes to AI tools, specifically in video conferencing workflows. Undertrust leads to under-utilization, which affects Microsoft's metrics of tool adoption, and overtrust leads to unaligned organizational memories, which is an organizational issue.
This leads to our project goals:
👥 for users
Make verification feel natural and low-effort, matched to actual meeting stakes
🎨 for product
Surface uncertainty signals so users know when to look closely, not just how
🪟 for Microsoft
Address the trust calibration gap that limits enterprise agentic AI adoption
2025
Reducing hiring managers' credential verification workflow disruptions and extending the MatterWorx design system
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