Applicable plans: ❎ The free plan, ❎ The complete plan

💡 Ever wondered why someone didn’t get their favorite desk? Or how often they actually did?
There’s now a dedicated GPT for that 👉 Waldo Data Analyst GPT

This GPT, based on ChatGPT, helps you make sense of your Waldo bookings. It analyzes:

• Why a user did or didn’t get a desk or parking spot
• Booking patterns and favorite desk usage
• Area occupancy, compared to user preferences
• Overlaps and conflicts with other users’ favorite desks

⚙️ Examples of what you can ask:

• “Can you check how often Bob got his favorite desk?”
• “Who else has the same favorite desks as Emma?”
• “Analyze Bob@company.com’s bookings.”

How to use it?

Step 1 – Export the data
Head to the Waldo Admin portal → go to Metrics

• Under Export, select your building and download both:
  • Users calendars
  • User settings
• Then under Area Occupancy, select the same building and download the file as CSV

Step 2 – Convert to XLS
Some CSVs may use different delimiters depending on your country. To make things easier for the GPT:

• Open your CSV files
• Convert and save them as XLS files (yes, XLS, not XLSX)

Step 3 – Ask the GPT

• Open the Waldo Data Analyst GPT
• Drag and drop your XLS files
• Ask your question! 🎯
  e.g. “analyze Bob@company.com bookings”

ℹ️ Important note:
All files you upload to the GPT remain private to your session.