Flow Analytics Connector
The Flow Analytics connector lets you log details about flow outcomes that you can review in flow analytics.
You can use the Flow Analytics connector to:
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Track analytics based on different flow outcomes.
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Create a policy for running flows if logging errors occur.
Setup
Configuring the FingerprintJS connector
Add the connector in DaVinci as shown in Adding a connector, then configure it as follows.
This connector doesn’t have a configuration at the environment level. You configure it in your flow instead.
Using the connector in a flow
Capture flow information
You can use the Log flow outcomes capability to log details about flow outcomes based on outcome type and outcome status.
The Outcome Status Detail field is limited to 250 characters and the Outcome Description/Comment field is limited to 1000 characters. While these limits can be exceeded, the system will automatically trim the data during flow execution. |
No special flow configuration is needed. Add the capability and populate its properties according to the help text.
To view flow analytics from the flow canvas, go to More Options (⋮) > Analytics. |
Capabilities
Log Flow Outcomes
Log custom flow outcomes.
Show details
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Properties
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Input Schema
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Output Schema
- outcomeType dropdownWithCreate required
- outcomeStatus dropdownWithCreate required
- outcomeStatusDetail dropdownWithCreate
- outcomeDescription textArea
- customTimestamp textField
- shouldContinueOnError toggleSwitch
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default object
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properties object
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outcomeType string required minLength: 2 maxLength: 75
Type of outcome from flow (e.g. login, enrollment, etc.)
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outcomeStatus string required minLength: 2 maxLength: 75
Status of the outcome from the flow (e.g. success, error, denied, fraud, approved, etc.)
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outcomeStatusDetail string minLength: 2 maxLength: 250
Details about status of the outcome
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outcomeDescription string minLength: 2 maxLength: 1000
Description of the outcome
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customTimestamp string minLength: 2 maxLength: 75
Custom timestamp to be logged along with the outcome
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shouldContinueOnError boolean
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true if flow should continue if an error is encountered in logging
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Input Example
{ "properties" :
{ "outcomeType" : "login",
"outcomeStatus" : "success" } }