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Hi Airtable Community! 
 

My name is Zach Krumrey and I am a Scaled Customer Success Manager here at Airtable. 

 

I’m excited to host another Onboarding Office Hours on September 9th at 12PM CST where you’ll get to connect with other new users and pick up best practices to set yourself up for long-term success.

 

✅ What to Expect:

  • A quick recap of recent Airtable updates and announcements
  • A walkthrough of key onboarding resources
  • Best practices for building your first app in Airtable
  • Practical tips to help you get the most out of Airtable
  • Open Q&A — ask me anything about getting started! 

🚫 What We Won’t Cover:

  • Technical troubleshooting or bug fixes
  • Billing, account, or subscription questions
  • Product feature requests (submit those via our Product Ideas board!)

For technical or account-related questions, your Account Executive or our Help Center are great go-to resources.

Click here to register for the event.

Hope to see you there! 

Thanks to everyone who joined our Onboarding Office Hours event today! ​@zachkrumrey led a great session packed with practical demos, real-time Q&A, and plenty of tips to help you get the most out of Airtable. Whether you’re just getting started or looking to level up, there was something for everyone - be sure to check out the recording below!

3 Key Takeaways 👀

  • The Airtable onboarding base is a powerful resource for new users, offering a step-by-step plan, milestone checklists, and direct links to essential guides. Copying this base into your workspace can jumpstart your Airtable journey and help you onboard new team members with ease.
  • Dashboards and interfaces are game changers for visualizing and sharing your data. With the help of Omni, Airtable’s AI assistant, you can quickly build beautiful dashboards, analyze data, and even get recommendations for what to include based on your goals or audience. 
  • Best practices for structuring your data include mapping out your tables and relationships before building, using the base schema extension to visualize connections, and leveraging field agents (AI-powered automations) to analyze data at scale—saving hours on tasks like sentiment analysis or summarizing survey results.


2 Additional Resources for Further Learning 📚

We hope to see you at the next event!

 

 

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