

Beginner Amplitude Office Hours
About the event
Just getting started with Amplitude and want to get off on the right foot? Join this live Beginner Office Hours to learn how to set up clean tracking, choose the right charts, and turn your early Amplitude data into real product insights.
Whether you’re figuring out what to track, debugging your first funnel, or trying to make sense of events and properties, this session is designed to help you build a solid foundation—not just click around the UI.
This is a live, open Q&A session grounded in real implementation examples. We’ll walk through how to structure your tracking, avoid common mistakes, and answer as many of your questions as we can before time’s up.
Perfect if you…
Just started using Amplitude and want to understand how to set things up correctly
Feel overwhelmed by “events,” “properties,” “users,” and “sessions”
Aren’t sure what to track or how to avoid hundreds of messy events
Want to know which chart to use for which question (segmentation, funnels, cohorts, engagement)
Need help translating business questions into Amplitude reports
What we’ll cover
Getting value from Amplitude quickly
Auto capture vs precision tracking: when to rely on each
Using auto capture to prove value and get developer buy-in
Designing a clean tracking plan
Avoiding high-cardinality setups with hundreds of events
Using event properties instead of one-off event names (e.g. one “CTA Selected” event with a “CTA Type” property)
Keeping your data usable over time
Validating events and properties in Amplitude’s Data section
Using 30-day volume vs 30-day queries to spot noisy, low-value data
Why user properties matter (and where beginners forget them)
Answering core product questions
When to use segmentation, funnels, cohorts, engagement matrix
Using session replay + heatmaps alongside funnels to understand why users drop off
Implementation Q&A
Common setup patterns (web SDK, GTM, environments)
Practical questions from the audience (session duration, guides across dynamic URLs, SDK choices, etc.)
Who’s hosting?
Two of our favorite data pros:
🧠 Bring your questions, your workspace, and your curiosity.