Google Calendar
Role
Product Manager
Timeline
6 weeks
Tools
Figma, Miro, Google Workspace
PRD • UX flows • Wireframes • Metrics Framework • Experiment Plan • Product Strategy • Case Study
Google Calendar is the backbone of millions of professionals' workflows. Almost every meeting, event, or collaboration starts here.
But while Google Calendar tells you when you have a meeting… it doesn't help you get ready for one.
Through interviews and behavioral research, I discovered a major productivity gap:
People spend more time preparing for meetings than attending them. And many still show up unprepared.
Across users — engineers, PMs, executives, students — the same problems surfaced:
This case study covers how I designed AI Meeting Prep, a contextual AI assistant built directly into Google Calendar that prepares you for meetings automatically.
Important context is scattered across:
Users manually dig through all of it before meetings.
People join calls unsure of:
This leads to wasted time and unclear outcomes.
Action items shared before meetings often get buried in email or Slack.
Google Calendar alerts users about time, not context. There is no intelligence guiding users toward better preparation.
"How might we transform Google Calendar from a scheduling tool into a proactive meeting assistant?"
An AI assistant inside Calendar could:
This would save users minutes per meeting and improve team alignment.
If users receive automatic meeting prep summaries, then they will spend less time searching and more time contributing.
If Calendar can extract past decisions and action items, then meetings will start with clear context.
If Calendar shows the most relevant documents and emails, then users will miss fewer pre-work requirements.
If users can generate agendas with one click, then meeting quality and structure will improve.
Engineering Manager
Product Manager
Graduate Student
I designed AI Meeting Prep, an intelligent assistant inside Google Calendar that prepares users for meetings automatically.
It appears directly inside each calendar event.
AI analyzes:
And generates:
AI scans across:
And extracts:
Tasks integrate with Google Tasks or Workspace.
Using semantic search, Calendar suggests:
No more digging.
Users can generate:
Editable inside Calendar.
After the meeting, AI generates a:
Automatically sent to attendees (optional).
"Preparation Time Saved per Meeting"
Measured through:
Control
Standard Google Calendar
Variant
AI Prep panel
Measure:
0–3 Months
3–6 Months
6–12 Months
AI Meeting Prep turns Google Calendar into a proactive partner that:
Google Calendar becomes more than a scheduling app—it becomes a meeting intelligence hub.
This project taught me how to:
AI Meeting Prep reflects my approach to building assistant-driven products that work invisibly, intuitively, and contextually—without overwhelming the user.