Playbook
Use AI to get specific experiment ideas based on product actions, targeted to user type.
Sources
Amplitude
Posthog
Mixpanel
Getting started
Creating targeted growth experiments based on user actions is crucial for optimizing product growth and improving onboarding.
Generating and managing these experiments manually can be time-consuming and complex.
In this playbook, we'll show you how to use Merlin to craft growth experiments tailored to specific user actions and types.
Step 1: What you'll need
You'll need access to Lancey's Merlin agent.
Connect to your feature flagging, product analytics, email, and in-app communications 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.
Prompt
Identify user actions that can be targeted with growth experiments to improve onboarding.
Merlin will analyze your data set and provide a preview of user actions that can be targeted for growth experiments.
Step 3: Generating experiment ideas
Now that we have identified targetable user actions, the next step is to generate specific experiment ideas based on these actions.
Prompt
Generate a list of growth experiment ideas based on the identified user actions.
Merlin will provide a list of experiment ideas, showing how they can be implemented to improve onboarding and overall product engagement.
Step 4: Implementing and tracking experiments
With the experiment ideas in place, you can now implement them and track their impact using Lancey’s tools.
Prompt
Set up and track the impact of the generated growth experiments using feature flagging and analytics.
Merlin will guide you through the implementation process, providing tools to monitor and measure the success of each experiment.
Wrapping up
And we're all done here! Get back to building great products. We also have other playbooks you can explore.