How to Log Custom Analytics Variables from Architect to Conversation Details

How-To-Articles
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How to Log Custom Analytics Variables from Architect to Conversation Details

Executive Summary & Architectural Context

A massive blind spot in many Contact Center as a Service (CCaaS) deployments is the IVR “black box.” Standard Genesys Cloud analytics will effortlessly tell you that 5,000 calls entered the “Main Support Flow” and transferred to the “Billing Queue.” However, out-of-the-box reporting cannot tell you what those callers did inside the flow-such as the specific account number they typed, the exact menu nodes they traversed, or the transaction value they were calling about.

To bridge the gap between IVR logic and business intelligence (BI), architects must extract custom variables from the flow runtime and bind them permanently to the interaction’s historical record. In Genesys Cloud, this is achieved using Participant Data (also known as attributes).

By injecting Participant Data into the interaction during the Architect flow, these variables become deeply embedded in the Analytics JSON model. They can be viewed in real-time by agents, parsed by custom WFM/QA integrations, or extracted en masse via the Analytics API for downstream data warehousing. This masterclass details the engineering required to correctly tag, persist, and extract this data at scale.

Prerequisites, Roles & Licensing

To implement and validate custom analytics logging, you require the following:

  • Licensing: Available on all Genesys Cloud CX tiers.
  • Roles & Permissions:
    • Architect > Flow > Edit (to configure the logging actions).
    • Analytics > Conversation Detail > View (to validate the data in the UI).
    • OAuth Client with analytics:readonly scope (if validating extraction via API).
  • Platform Dependencies:
    • A clear taxonomy/naming convention for your variables (e.g., IVR.Intent, CRM.AccountStatus).

The Implementation Deep-Dive

1. Structuring the Taxonomy

Before touching Architect, define a strict namespace for your variables. Without namespaces, large flows will create massive, unreadable attribute lists.

Do Not Use:

  • account_number
  • status
  • temp1

Use Namespaced Keys:

  • BI.AccountTier
  • IVR.SelfService.Intent
  • CRM.CustomerLTV

2. Injecting the Data via Architect

To log a variable permanently to the conversation, you must use the Set Participant Data action.

  1. Open your Inbound Call Flow in Genesys Cloud Architect.
  2. Locate the node where the critical business logic occurs (e.g., immediately after a successful CRM Data Action, or after a caller inputs their 10-digit ID).
  3. Drag the Set Participant Data action into the flow.
  4. In the configuration panel, define the exact key-value pairs to bind to the interaction:
    • Attribute Name: "IVR.SelfService.Intent" (Must be a string literal).
    • Value to Assign: An expression or variable, such as "Billing_Dispute" or Task.CRM_AccountStatus.
  5. You can add multiple key-value pairs within a single Set Participant Data node.

Architectural Rule: Do not place Set Participant Data immediately prior to a Disconnect node if the caller hangs up unexpectedly. Participant Data is only committed to the Analytics database upon the completion of the current flow segment. Always set data as early as the data becomes available and validated.

3. Extracting the Data via the Analytics API

Once the call completes, the data is permanently etched into the conversation record. To extract it for a BI dashboard (like PowerBI or Tableau), you must query the Analytics API.

Execute a POST request to /api/v2/analytics/conversations/details/query.

Sample JSON Payload:

{
 "interval": "2026-05-13T00:00:00.000Z/2026-05-14T00:00:00.000Z",
 "order": "asc",
 "orderBy": "conversationStart",
 "paging": {
  "pageSize": 100,
  "pageNumber": 1
 },
 "segmentFilters": [
  {
   "type": "or",
   "predicates": [
    {
     "type": "dimension",
     "dimension": "queueId",
     "value": "YOUR_QUEUE_GUID_HERE"
    }
   ]
  }
 ]
}

Parsing the Response:
In the JSON response, navigate down the object hierarchy: conversations[x] -> participants[x] -> attributes.
You will find your custom keys nested under the attributes object for the specific participant (usually the customer purpose).

"attributes": {
  "BI.AccountTier": "Platinum",
  "IVR.SelfService.Intent": "Billing_Dispute"
}

Validation, Edge Cases & Troubleshooting

Edge Case 1: Data Truncation and Limits

The maximum length for a single attribute value string is 2,048 characters. The maximum size of all combined attributes for a single participant is 100 KB.

  • Result: If your Data Action returns a massive JSON payload and you attempt to dump the entire raw string into Set Participant Data, Architect will throw a runtime error, or the analytics engine will silently truncate the data, resulting in malformed JSON down the line.
  • Prevention: Use Architect’s JSONPath extraction to pull only the specific fields you need. Never log raw API response payloads to Participant Data.

Edge Case 2: Overwriting Variables During Transfers

Participant Data is globally scoped to the interaction. If Call Flow A sets "IVR.Intent" = "Sales", and then transfers the call to Flow B, which also sets "IVR.Intent" = "Support", the final Analytics record will only show "Support".

  • Troubleshooting: If you need to track the entire journey, append data rather than overwriting it, or use sequence-based keys (e.g., IVR.Intent.Step1, IVR.Intent.Step2).

Validation via the UI

You do not need to write an API script just to test if your flow is working.

  1. Make a test call into the IVR and trigger the logic.
  2. In Genesys Cloud, navigate to Performance > Workspace > Interactions.
  3. Open the detail view for your test call.
  4. Click on the Participant Data tab (or Attributes tab). Your custom keys and values will be displayed in a table layout. If they are missing, the Set Participant Data node was bypassed, or the flow disconnected before the segment was committed.

Official References

To scale this architecture, consult the official documentation regarding data types and API extraction limits: