Playbook
Let AI help you forecast product usage trends accurately.
Sources
Amplitude
Intercom
Gong
Gmail
Getting started
Usage forecasting is a crucial activity for product teams. Accurately predicting how users will engage with your product can inform better decision-making and strategic planning.
However, manually gathering and analyzing usage data to forecast trends can be time-consuming and prone to error.
In this playbook, we'll show you how to leverage Merlin to automate the process of usage forecasting.
Step 1: What you'll need
You'll need access to Lancey's Merlin agent.
Connect to your product analytics, CRM, and customer support platform within Lancey's integration tab.
Step 2: Setting up filters
Once Merlin is set up, it can automatically analyze your product usage data. We'll leverage Merlin's ability to query, segment, and forecast for the next steps.
Accurate usage forecasting requires specific parameters to be defined. Let's specify the criteria for the usage patterns we want to forecast.
For example, you might be interested in predicting the future usage of feature Y by users who have recently shown increased engagement.
Prompt
Forecast the future usage of the reporting feature by users who have increased their usage by 20% in the last month.
Merlin will handle the complex task of analyzing historical usage data, identifying the relevant users, and generating a forecast based on the specified conditions.
Step 3: Generating and Distributing Forecast Reports
Once Merlin has generated the usage forecasts, distribute these insights to your team.
Merlin can generate a detailed usage forecast report and send it to your team via email or shared documents to be sent regularly. This ensures everyone is informed and can plan accordingly.
Prompt
Merlin, generate a weekly usage forecast report and send it to the product team.
Example output: Weekly Usage Forecast Report
Date: [Date]
Overview:
Predicted Monthly Active Users: [Number]
Expected Usage Increase: [Percentage]
Feature-Specific Forecasts
Reporting Feature: Predicted increase of 15% in usage over the next month.
Dashboard Feature: Expected steady usage with minor fluctuations.
User Segmentation:
Power Users: Expected to increase their usage by 10%.
New Users: Predicted steady growth in engagement.
Recommendations
Prepare infrastructure for increased load on the reporting feature.
Consider targeted marketing campaigns for new users to boost engagement.
Thanks,
[Product Manager]
Wrapping up
And we're all done here! Get back to building great products. We also have other playbooks you can explore.
