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The Audit allocation process provides a three-step workflow to define the interaction scope, select the allocation method, and assign interactions to auditors. Each step builds on the previous one, guiding the process from setup to final assignment. The workflow supports interactions across Inbound, Outbound, or Both contact directions based on the selected evaluation form and queue assignment.

Access Audit Allocations

Navigate to Quality AI > Analyze > My Allocations. Create Allocations

Step 1: Settings

Define the evaluation scope, select the form, and filter the interactions to evaluate. Create Allocations

Basic Information

FieldDescription
NameDescriptive name that identifies the allocation purpose.
DescriptionOptional context about the allocation’s purpose, focus areas, or evaluation priorities to help team members understand the intent.
Date RangeSpecify the date range for interactions to evaluate and capture the relevant conversation window.
Evaluation FormChoose a form that guides auditors in reviewing and assessing assigned interactions. The form also determines which queues appear in subsequent filters, as each form links to specific queues in the system configuration.
LanguagesChoose the languages for this allocation. Select specific languages when creating audits for auditors who evaluate only certain languages, or select all languages for comprehensive coverage. The system displays the total matching interaction count.
QueueQueue associated with the selected evaluation form.
The selected evaluation form determines the available queues and interaction directions, including Inbound, Outbound, or Both. This supports both customer-initiated and agent-initiated interactions, such as callbacks and campaigns. Queue Selection

Filter by Agents or Agent Groups

Narrow your allocation scope to specific team members or groups.
FilterHow to use
AgentsSelect individual agents from the dropdown. Leave empty to include all agents in the selected queues. Users with the Cross Queue Data Access permission can select agents across all queues.
Agent GroupsSelect pre-configured groups for bulk selection. Useful for team-based evaluations. Combine with individual agent selection as needed.
Agent and Agent Groups Selection The interaction count updates automatically as you adjust selections. Select Next to proceed to the Allocation step.

Step 2: Allocation Type

Choose how to select interactions from the filtered pool—Random for unbiased sampling or Custom for targeted evaluation.

Random Allocation

Uses statistical sampling to ensure impartial selection of interactions, providing representative coverage across agents with control over sample size. Allocation Type
  1. Select Random.
  2. Enable the Channel Type for evaluation to include:
  • Voice: To include phone interactions.
  • Chat: To include chat interactions.
  • Both: For comprehensive channel coverage.
  1. Select an Assignment Logic:
    LogicDescription
    Percentage Per AgentAllocates a consistent percentage of each agent’s interactions. Ensures proportional representation.
    Interactions Per AgentAssigns a fixed number of interactions per agent. Provides uniform sample sizes.
  2. Enter the percentage or interaction count. The system displays:
    • Average per Agent: Equivalent value in the opposite metric.
    • Total Interactions: Real-time total for this configuration.
  3. Enter the Minimum Duration Threshold under the Random Allocation.
The Random Allocation configuration panel includes an Include interactions below duration threshold toggle per allocation rule. When included, these interactions display a Below Threshold badge during audit.
  • Excluded (default): The system excludes below-threshold interactions from random sampling.
  • Included: The system makes flagged interactions available for selection alongside evaluated contacts.
This setting is configurable per queue, agent, or channel, allowing independent sampling behavior across allocation rules.

Custom Allocation

Lets you apply specific filters to target particular scenarios, sentiment ranges, or performance metrics. Ideal for focused evaluations or validating Auto QA accuracy.
  1. Select Custom.
  2. Choose how to define your criteria:
    MethodWhen to use
    Saved FilterSelect a filter previously saved in Conversation Mining. Best for recurring audit focuses.
    Quick FilterConfigure a filter directly in the allocation workflow. Best for one-time allocations.
    Custom Allocation

Quick Filter Creation

Select Create Filter to open the quick filter builder. Quick Filter Creation
Filter CategoryWhat you can filter
ExperienceSentiment trends, emotions, wait time, CSAT, intents, topics, churn risk.
BehaviorEvaluation metrics, empathy score, crutch word usage, playbook adherence, Kore Evaluation Score.
KeywordInclude or exclude interactions containing specific words or phrases.
EfficiencyAHT, handling time ranges, AHT deviation, number of transfers.
The interaction count updates dynamically as you adjust filters.

Per-Agent Control

After defining filters, you can further refine by sampling per agent:
  • Specify a percentage or interaction count per agent within the filtered set.
  • Combine targeted filtering with proportional sampling for precise control.
Example: Filter for interactions with sentiment scores less than 3, then sample 5% per agent from those results to focus on low-satisfaction situations. Select Next to proceed to the Assignment step.

Step 3: Assignment

Distribute the selected interactions across your auditor team. Assignment
  1. Use the Search Auditors dropdown to select team members.
  2. Choose multiple auditors to distribute the workload.
  3. Enter the Allocation Percentage for each auditor. The system calculates the exact interaction count per auditor automatically. Example (100 total interactions, 3 auditors):
    • Auditor A: 40% = 40 interactions
    • Auditor B: 30% = 30 interactions
    • Auditor C: 30% = 30 interactions
  4. Adjust percentages until they total exactly 100%. The Create button remains disabled until the total reaches 100%.
  5. Review the complete configuration:
    • Settings: Form, languages, agents, agent groups.
    • Allocation: Method (Random or Custom), filters, total interactions.
    • Assignment: Auditors and their percentages.
  6. Select Create to activate the allocation.
The system immediately assigns interactions to auditors. Auditors can see their assignments in the Assigned to Me tab right away.

After Creating an Allocation

  • The allocation appears in your My Allocations tab.
  • Auditors see their assigned interactions in Assigned to Me.
  • Track completion progress in real-time.
  • Edit the allocation at any time to reassign pending interactions.

Use Case: Managing Auditor Availability During Peak Season

Scenario: A QA Manager creates a monthly random sample allocation for 15 auditors. Three days later, two auditors report unexpected leave, leaving 40 pending interactions unassigned.

Step-by-Step Resolution

  1. Identify the issue
    • Open My Allocations tab.
    • Locate the “December 2024 Monthly Sample” allocation.
    • Confirm that two auditors (John, Doe) have 0 interactions completed and 20 pending each.
  2. Access Edit
    • Select Edit from the Actions menu.
    • Review: Auditor John — 20 assigned, 0 completed, 20 pending. Auditor Doe — 20 assigned, 0 completed, 20 pending.
  3. Reassign pending work
    • Select the checkboxes for Auditor John and Auditor Doe (40 total pending interactions).
    • Select Add New Auditors and choose three auditors with lighter workloads: Auditor C, Auditor P, and Auditor R.
  4. Configure new distribution
    • C: 35% = 14 interactions
    • P: 35% = 14 interactions
    • R: 30% = 12 interactions
    • Verify the total reaches 100%.
  5. Complete reassignment
    • Select Update.
    • System redistributes the 40 pending interactions to the selected auditors.
    • Auditor C, Auditor P, and Auditor R immediately see their assignments in “Assigned to Me.”
    • Completed work from original auditors remains unchanged.
Outcome: The monthly audit stays on schedule. No interactions are lost or duplicated, and workload is balanced across available team members.