This article explains the Path Analyzer, its filters, and various configurations.
Every user is on their own path to learning and adopting your product. Path analysis helps you visualize user journey through your product traversing the product features and learn unexpected behaviors or blockers. This feature helps you find answers to questions like “How did they get to a given feature?” or “Where do they go next?".
Path Analyzer reports allow you to:
- Learn about the adoption path of the first mile of product for new users
- Visualize user activity to surface unexpected user flows
- Track user activity to learn how users get to a NEW feature and where do they go next
Path Analyzer Settings
Configure the following settings in Path Analyzer to create a path and collect user data:
- Starting with / Ending with: allows you to analyze the journey to or from a feature based on the user session.
- Feature / Engagement allows you to select a feature or engagement. The path report starts or ends from the selected feature or engagement.
- Engagement / Feature Select: Select the engagement or feature from which the path report must begin or end. This drop-down menu is populated based on the option selected in the previous menu.
- User or Session Scope: allows you to visualize journey across visits under user scope or per session where the same users will be measured more than once.
Note: A new PX Session will begin after 30 minutes of user inactivity.
- Steps: defined how deep you want the journey to reflect.
- Threshold: defines the minimum threshold for that metric to be counted into the path analysis.
Measure the First Mile of Product
Using the user sign-up date you can specify the scope of your first mile of product to
- Learn about how users interact with your product
- Validate they on track, following the journey you expected and
- See who and where they drop-off
- Path Analyzer displays the path traversed by the top 10 features only. If a user navigated from a Feature A to 100 different features, you can only view the 9 most common features visited by the user. The remaining 90 features are grouped as Other features.
- You cannot configure the number of features which can be viewed in each step. Gainsight PX displays a maximum of 10 features in each step. If a feature is not mapped to any step, but it has user activity then the feature is not included in the Other category.
- If you notice a considerable drop in user activity between two steps in a path, then it implies that either the users are dropping off before the second step in the workflow or you have features that are not mapped in the Product Mapper.
Learn About Different Cohort's Journeys
You might have different personas, engagements, or account types. You can specify any filter to match the cohort you're trying to analyze.
Gain Real-time Insights on New Release's Adoption
When launching a new feature or module you can specify the relevant step you want to focus on and see how users got to your newly launched feature or where do they go afterward.
Select the target feature you want to focus on:
For more information about all frequently asked questions, refer to the Analytics FAQs article from the Additional Resources section.