Case Study 02 · Cisco Webex · Vidcast · AI

The Decision Tree:
From Action Items
to Understanding

People watch meeting recordings to understand the decisions made — not to relive the meeting. I redesigned how Vidcast surfaces meeting intelligence, moving from a flat list of action items to a structured decision tree that shows what was decided, why, and who said what. Then I validated the concept in 10 seconds using a live meeting transcript in Figma Make.

Company
Cisco Webex · Vidcast
Role
Sr. UX Design Lead
Method
AI-first feature design
Scope
AI/ML DesignFigma MakeVibe CodingValidation
10s
Time to executive green-light
99.4%
AI-generated highlight content
5.49M
Highlight views in 90 days

People don't watch recordings — they review decisions

Vidcast became the primary platform for reviewing Webex and Teams meetings. But the existing AI output — a flat list of action items — wasn't answering the real question people came to answer: what did we actually decide, and why?

Action items tell you what to do. They don't tell you the context behind the decision, the arguments that were made, who pushed back and why, or whether the decision was actually resolved. That's the gap I set out to close.

"The AI reframe: action items are children of decisions — not a flat list."

AI informed the concept before any UI existed

I used AI as a thinking partner in the problem phase — to explore and stress-test the concept before designing anything.

01

Problem analysis

Used AI to analyze how decision trails work cognitively. This informed the IA model before any wireframes.

02

Pipeline validation

5.5M AI-generated highlight items at 6.1% view rate proved the AI pipeline was reliable at scale. Decision tree was the next layer.

03

Real data testing

Loaded real meeting transcripts into Figma Make to validate whether the model produced useful, believable output.

Anatomy of a Decision Card

Each decision in the tree surfaces everything a viewer needs to understand what happened — without watching the full recording.

What a Decision Card contains:

  • Decision state — Open or Resolved
  • The decision question in plain language
  • Context — what made this a real decision
  • The deciding argument — the reason the team landed where they did
  • Who said what — attributed to real participants
  • Action items — as children of the decision, not standalone
  • Non-linear playback — play this decision or all decisions
  • Sentiment — the emotional temperature of the discussion

Green-lit in 10 seconds

I loaded a real Vidcast meeting transcript into a Figma Make prototype and presented it live during a design review. Within 10 seconds, the prototype surfaced a genuine disagreement between two senior leaders that no one in the room had resolved.

The prototype didn't just demonstrate the concept — it proved the value by doing the job in real time. The feature got an immediate green-light to ship.

"How a prototype loaded with real data green-lit a feature in one meeting — by surfacing a real leadership disagreement in 10 seconds."

Decision Tree — Playback Page Overview
Decision Tree — Decision Card Expanded Decision Tree — Context View
Decision Tree — Deciding Argument Decision Tree — Action Items as Children
Decision Tree — Full Tree View Decision Tree — Non-linear Playback
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