How do I generate an Agent Auto Complete Evaluation?

You can generate an evaluation for a specific interaction in one of two ways:

Generating Auto-Complete Evaluations Using AI Scoring Rules Management

To automate the generation of evaluations at scale, configure an Agent Scoring Rule using the AI Scoring Rules Management API.

Step 1: Create an Agent Scoring Rule

Use the following API:

POST /api/v2/quality/programs/{programId}/agentscoringrules

Example Request:

POST /api/v2/quality/programs/bd27fab3-6e94-4a93-831e-6f92e664fc61/agentscoringrules HTTP/1.1
Host: api.inindca.com
Authorization: Bearer *******************
Content-Type: application/json

Example JSON body:

{
“programId”: “bd27fab3-6e94-4a93-831e-6f92e664fc61”,
“samplingType”: “Percentage”,
“submissionType”: “Automated”,
“evaluationFormContextId”: “14818b50-88c0-4cc5-8284-4ed0b76e3193”,
“enabled”: true,
“published”: true,
“samplingPercentage”: 97
}

Field Explanations

• programId – ID of the Speech & Text Analytics (STA) program.
• evaluationFormContextId – The contextId of the automated evaluation form to use.
• samplingPercentage – Percentage of interactions that should automatically generate evaluations.
• enabled – Must be true for the scoring rule to be active.
• published – Must be true for the rule to take effect.
• submissionType – Set to "Automated" to ensure evaluations are auto-generated.

Once the rule is active, evaluations will automatically be created for interactions that meet the rule’s criteria.

Additional Resources

• For instructions on creating manual evaluations, see Create a new evaluation.
• For guidance on designing, testing, and tuning auto-complete evaluations, see AI Scoring Best Practices.