Catch Disengaged Users Before They Leave
When your success or product team notices user engagement changes in Linear comments, Notis automatically feeds those signals into Bigml retention models. Subtle drops in usage are detected early. Users at risk of churning get identified before they disappear. You stop losing customers by accident and start saving them systematically.
Trigger
Comment Received Trigger
Triggered when a comment is received.
Action
Create External Connector
Tool to create a new external connector for data sources. use after configuring external databases or search indices.
Why this helps
Your team notices a customer has gone quiet or stopped using a feature but there is no system to track or act on these signals. Customers churn because you did not see their disengagement coming until it was too late.
- Automatically capture user engagement changes from team observations
- Feed real engagement signals into models that predict churn
- Identify at-risk users before they make churn decisions
- Reduce customer turnover through early intervention
Setup
Build it in a few focused steps.
- 1Connect Linear and Bigml to Notis via the portal.
- 2Tell Notis 'When team members mention user engagement changes in Linear comments, feed those signals into our Bigml retention models' or use the portal.
- 3Set the trigger to Comment Received and Notis will identify engagement insights in your team's discussions.
- 4Select your notification channel.
- 5Add a test user engagement observation to a Linear comment and verify the Bigml connector activates with retention scoring.
Questions about this workflow
How does Notis extract engagement signals from random comments?
You define what matters. Tell Notis 'Comments mentioning usage drops' or 'Observations about customer activity' and Notis learns your team's signals.
Can Notis predict which engaged users are about to disengage?
Yes. Over time, Bigml learns behavior patterns. Subtle usage changes that preceded past churn become predictive of future churn.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Linear to Bigml. A trigger fires from one place; an action lands in another.
Linear triggers
Bigml actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Create External Connector
Tool to create a new external connector for data sources. use after configuring external databases or search indices.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Create Project
Tool to create a new project. use when you need to group related bigml resources into a project.
Comment Received Trigger
Triggered when a comment is received.
Delete Project
Tool to delete an existing project. use when you need to permanently remove a project resource after confirming it is not in use by other resources.
Issue Created Trigger
Triggered when a new issue is created.
Get External Connector
Tool to retrieve details of an external connector. use after creating or listing external connectors to inspect its state.
Issue Updated Trigger
Triggered when an issue is updated. For example labels are changed, issue status is changed, etc.
Get Project
Tool to retrieve details of a project by id. use when you need to inspect project metadata before analysis.
Private Team Comment Created
Fires when a new comment is posted on an issue in a private Linear team (polled with the connected user's token).
List Correlations
Tool to list correlation resources. use when you need to browse or paginate existing correlations for the authenticated user.
Private Team Issue Created
Fires when a new issue appears in a private Linear team (polled with the connected user's token).
Private Team Issue Properties Updated
Fires when properties on an issue change in a private Linear team (polled with the connected user's token).
Connect any two apps with Notis in the middle.
Linear and Bigml, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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