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The Coaching section in Quality AI helps supervisors create targeted coaching sessions for agents based on evaluated interactions. Supervisors can assign individual or group coaching tasks, track completion, and measure improvement over time. Group Coaching Assignments enable QA users to identify multiple agents with similar performance gaps and create a single coordinated coaching intervention instead of repeating setup for each agent. Each agent receives an individual assignment without visibility into the group context. QA users can also mark agents for coaching directly from the audit screen. These marks are collected in the Marked for Coaching workspace, where QA users can group agents, define shared coaching attributes once, and dispatch assignments in bulk.
Group Coaching Assignment requires the QA Functionalities Access permission.
Coaching has three components:
ComponentWho uses itPurpose
Coaching Assignments (Supervisor)SupervisorCreate and assign coaching tasks based on evaluated interactions.
Coaching Assignments (Agent)AgentReview assignments and work through marked interactions.
Coaching MonitorSupervisorTrack progress and measure improvement across all agents.

Access Coaching Assignments

Navigate to Quality AI > Coach > Coaching Assignments > Assignments Coaching Assignments

Overview

Coaching Assignments has two workspaces:
TabDescription
AssignmentsView and manage all active coaching tasks assigned to agents (individual + group-based assignments).
Marked for CoachingView agents marked for coaching during interaction reviews. Form groups and dispatch coaching assignments in bulk.

Assignments Tab

The Assignments tab lists all active coaching tasks assigned to agents for skill development and performance improvement.

Assignments List

ColumnDescription
NameCoaching assignment name. Displays Group or Individual label under the name for visual distinction across Assignments and Monitor.
Coaching AreaCoaching attributes assigned. Additional areas display with the +N overflow tag (additional coaching attributes). Example, AU update Jan2, Attribute4 AU, and Attributes5 CU.
Assigned DateAssignment creation date. Select the column headers to sort data in ascending or descending order.
Follow-up DateScheduled review date (sortable).
StatusCurrent completion state of the assignment.
ViewSelect the Eye icon to open the interaction-level conversation list for the assignment.

Status Values

StatusWho sees itMeaning
Yet to StartSupervisorNo interactions reviewed.
Start NowAgentNo interactions reviewed.
In ProgressBothAt least one interaction reviewed.
CompletedBothAll interactions and best responses reviewed.

View Details Flow

The View action icon enables progressive details from a coaching assignment summary to conversation-level details and then to full audit information.
LevelViewWhat You SeeActionDescription
1Group View (for example, Delta Group)Agents, coaching area, conversations, status, Agent ID searchEye iconShows overall assignment summary at the group level
2Conversation ListDate and time, queue, Kore score, audit score, View iconEye iconDisplays interaction-level records; selecting Eye opens the agent-specific interaction list for deeper review
3Audit ScreenTranscript, conversation details, audit logs, overviewNo further drill-downProvides full audit information at the interaction level for analysis and coaching decisions

Use the search bar to find assignments by name.

Filter Assignments

Select Filters to open the filter panel and narrow the assignment list.
FilterDescription
Coaching TypeFilter by Individual Agent or Group Agents.
StatusFilter by one or more status values. Type to search and select.
Coaching AreaFilter by one or more coaching areas. Type to search and select.
Select Apply to confirm filters.

Create Coaching Assignments

Supervisors can create coaching assignments from the agent dashboard. Navigate to Quality AI > Analyze > Dashboard > Agent Leaderboard > Evaluation

Steps to Create an Assignment

  1. Select the Evaluation tab on the agent dashboard. Add Coaching Assignment
  2. Select an interaction to coach.
  3. Select the vertical ellipsis (⋮) and select View. View Agent Interactions
    • Enables review of AI insights, manual scoring, and audit details in one workspace.\ Chat Audit and History
  4. Select Add Coaching Assignment. Add New Coaching Assignment
  5. Select an agent interaction to assign coaching for. Each agent has a dedicated dashboard with high-level metrics visible to both agents and supervisors.
  6. Enter a Name for the coaching assignment.
  7. Select Coaching Area (add the attributes to focus on).
  8. Interactions Marked for Coaching auto-populates from your evaluation tab selection.
  9. (Optional) Add Best Responses from bookmarks:
    ButtonAction
    View InteractionsOpens the audit screen for a selected interaction
    Add InteractionsAdds bookmarked interactions as best response examples
    Best Responses
  10. In Feedback, write your assessment — covering both strengths and areas for improvement.
  11. Define Action Plan (steps for improvement).
  12. Set a Follow-up Date for the coaching review.
  13. Select Create. The assignment appears in the agent’s dashboard.
You can also mark agents for coaching directly from the audit screen. These appear in Marked for Coaching.

Marked for Coaching Tab

The Marked for Coaching tab is the workspace for managing agents flagged for coaching during interaction reviews. Use it to form coaching groups and dispatch assignments in bulk. Navigate to Quality AI > Coach > Coaching Assignments > Marked for Coaching Marked for Coaching Tab The tab has two sub-tabs:

Sub-tabs

Sub-tabDescription
GroupsCoaching groups created for bulk dispatch.
IndividualsAgents marked but not grouped or assigned.

Groups Sub-tab

The Groups sub-tab lists all coaching groups created by the QA User that are pending dispatch.
ColumnDescription
Group NameUnique name of the coaching group.
AgentsAgents included in group.
Coaching AreaShared coaching attributes assigned to the group (+N overflow).
ConversationsTotal marked interactions for coaching across all agents in the group.
Assign CoachingDispatch assignments (enabled only if conversations exist).
The Assign Coaching action is only active for groups that have conversations added. Groups with 0 conversations show the action as grayed out.
Select + Add New Group to create a new coaching group.

Add New Group

FieldDescription
Group NameUnique name for the group. System validates it in real time vs. existing unsent groups.
DescriptionEnter a description of the coaching purpose.
Coaching AreaAdd coaching attributes as tags.
Select Save to create the group. The system creates the group in a pending state and makes it available for selection in the group list.

Individuals Sub-tab

The Individuals sub-tab lists agents that QA Users mark for coaching but don’t add to a group or assign an individual coaching session.
ColumnDescription
AgentsDisplays the agent’s name.
Coaching AreaCoaching areas associated with the mark, with overflow count tag.
ConversationsNumber of conversations marked for this agent.
Assign CoachingSelect the Action icon to create an individual or group coaching assignment for this agent.
Select the Assign Coaching icon to open the New Coaching Assignment creation flow for that agent. Individuals Sub-tab

Coaching Marking Behavior

QA users can mark an individual agent for focused coaching (stored at the agent level) or add agents to a group, where coaching areas apply and are shared across all members. Users can later assign or manage coaching either directly at the agent level or at the group level. The dialog captures coaching intent during audit review and prevents users from marking the same agent and coaching area more than once.

Agent View of Coaching Assignments

Agents can access assignments from their dashboard. Navigate to Quality AI > Analyze > Coaching Assignments Coaching Assignments - Agent View
Requires Agent Dashboard and Coaching Assignments permissions.
Agents only see individual assignments, even if created via groups. They can’t see any group context, and all assignments display the same, regardless of whether QA Users create them from a group or individually.

Assignment List

FieldDescription
NameCoaching assignment name.
Coaching AreaAttributes to focus on (+N overflow supported).
Assigned DateCreation date.
Follow-up DateReview schedule.
StatusProgress state.

Status Values

StatusMeaning
Start NowNo interactions reviewed.
In ProgressAt least one interaction reviewed.
CompletedAll interactions and best responses reviewed.

Assignment Details View

Selecting an assignment opens interaction-level details.

Interactions Marked for Coaching

FieldDescription
DateInteraction timestamp.
Coaching AreaAttributes identified for improvement, such as communication skills or compliance. (For example, Default Queue - Q1).
QueuesThe queue where the interaction occurred.
Kore Evaluation ScoreAuto QA score generated based on the evaluation form.
Audit ScoreScore assigned by the supervisor during audit review.
Sentiment ScoreCustomer sentiment derived from the interaction.
View ActionOpens the audit screen for the selected interaction to view full interaction details.

Best Response Examples

Reference interactions from high-performing agents used for comparison during coaching. Best Response Examples

Interaction Actions

ButtonAction
View InteractionsOpens the audit screen for the selected interaction.
Add InteractionsAdds bookmarked interactions as examples of the best responses.

Feedback and Action Plan

SectionDescription
FeedbackSupervisor assessment (strengths + gaps).
Action PlanSteps for improvement.

Validation and Warnings

The system validates coaching areas and interactions before creating the assignment. If a coaching area isn’t mapped to one or more agents, or a conversation doesn’t match the selected areas, the system shows a warning and removes invalid items. Select Confirm to proceed, and then select Create to add the assignment to the agent’s dashboard.

Coaching Monitor

The Coaching Monitor gives supervisors a consolidated view of all assigned coaching sessions. It shows score trends, attribute-level progress, and Kore Evaluation scores, making it easy to evaluate coaching effectiveness and plan follow-up sessions without reviewing each agent individually. Navigate to Quality AI > Coach > Coaching Monitor.
To track attribute score trends in Coaching Monitor, you must enable Auto QA for automated interaction scoring.

Monitor Dashboard

ColumnDescription
NameAgent who received the coaching assignment
Assigned DateDate the coaching session was assigned
Follow-Up DateDate of the next scheduled review
Agent AttributesAll attributes assigned for coaching; hover to see the full list
Agent Score CardAgent’s current default scorecard score
Kore Evaluation ScoreAuto QA score based on the evaluation form
CompareToggle to show score trends from the assigned date to today
Compare toggle: Enables a Spike/Dip indicator showing score improvement or decline from the assigned date to the current date, for both Agent Scorecard and Kore Evaluation Score. Compare Toggle

Filter Coaching Sessions

Select the Filter icon to narrow results by date, attributes, agent groups, or specific agents. Filter Panel
FilterDescriptionDefault
Assigned DateDate range when sessions were assignedLast 7 days
Follow Up DateDate range for scheduled follow-upsCurrent date
AttributesAgent performance attributes (searchable, multi-select)All
Agent GroupGroup or experience level (searchable, multi-select)All
AgentsSpecific agents (searchable, multi-select)All
Select Assigned Date or Follow Up Date as the active date filter — only one can be used at a time. Assigned Date Filter Follow Up Date Filter
ButtonAction
SaveSaves filter settings for future sessions
ClearResets all filter selections

Agent Progress

Select an agent’s record to view their individual coaching progress, comparing scores at the time of assignment versus current scores. Agent Progress
MetricDescription
AttributesAll attributes assigned for coaching
Score at Assigned DateAverage attribute score over the 7 days before the assigned date
Current ScoreAverage attribute score over the past 7 days
Spike/Dip IndicatorTrend showing improvement or decline between the two score points