Playbook
Let AI diagnose and resolve performance issues by analyzing usage data and error logs.
Sources
Amplitude
Intercom
Posthog
Mixpanel
Gong
Gmail
Getting started
Connecting usage data with error logs is crucial for understanding if performance issues are related to bugs.
Manually correlating these logs and identifying the root causes can be strenuous and time-consuming.
In this playbook, we'll show you how to use Merlin to identify and resolve product performance issues by analyzing usage data and error logs.
Step 1: What you'll need
You'll need access to Lancey's Merlin agent.
Connect to your product analytics and error logs platforms within Lancey's integration tab.
Get access to Lancey
Step 2: Setting up filters
Once Merlin is set up, it will automatically collect data from all integrated sources. We'll leverage Lancey's ability to query, segment, and act on the data for the next steps.
For example, you might be interested in identifying error logs and performance issues related to a specific feature.
Prompt
Identify error logs and performance issues related to the user sign-up process over the past 3 months.
Merlin will analyze your data set and provide a preview of relevant error logs and performance issues.
Step 3: Analyzing data
Now that we have identified relevant error logs and performance issues, the next step is to analyze this data to understand the root causes and identify areas for improvement.
Prompt
Analyze the error logs and usage data to determine the root causes of performance issues in the user sign-up process.
Merlin will provide an analysis of the data, showing patterns and trends that can guide decisions on how to resolve the performance issues.
Wrapping up
And we're all done here! Get back to building great products. We also have other playbooks you can explore.
