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Call History

Table of Contents

  1. Understanding Call History
  2. The Conversations List View
  3. Conversation Metrics
  4. Searching Conversations
  5. Filtering Options
  6. Column Configuration
  7. Understanding Conversation Status
  8. Conversation Row Information
  9. Quick Actions
  10. Pagination and Navigation

Understanding Call History

The Call History section provides a comprehensive log of all conversations conducted by your AI employees. This historical record is essential for: Quality Assurance: Review calls to ensure AI employees perform as expected. Performance Analysis: Understand outcomes and identify improvement opportunities. Compliance: Maintain records for regulatory or business requirements. Training: Learn from successful and unsuccessful interactions. Customer Service: Reference past conversations when handling follow-ups.

What Constitutes a Conversation

A conversation record is created when:
  • An inbound call is received by an AI employee
  • An outbound call is initiated by an AI employee
  • A campaign call attempt is made
Each conversation captures:
  • Complete transcript of the dialogue
  • Audio recording (when available)
  • Metadata including timing, duration, and status
  • Associated contact and AI employee information
  • Custom property values

The Conversations List View

The Call History page displays all conversations in a sortable, filterable table. Title: “Call History” identifies the section clearly. No create button: Conversations are created automatically through calls, not manually.

Metrics Overview

Summary cards provide aggregate statistics: Total Calls: Count of all conversations in the system. Successful Calls: Conversations with positive outcomes. Average Duration: Mean length across all conversations. Additional metrics: May include success rate, recent call counts, or other relevant statistics.

Main Table

The table presents conversations with customizable columns, defaulting to:
  • Title
  • Contact
  • AI Employee
  • Status
  • Direction
  • Duration
  • Date
  • Actions

Conversation Metrics

The metrics cards at the top of the page provide quick operational insights.

Total Calls

The complete count of conversations in your organization’s history. What this represents:
  • All inbound calls received
  • All outbound calls made
  • All campaign call attempts
Use this metric to:
  • Understand scale of operations
  • Track growth over time
  • Compare periods for trend analysis

Successful Calls

Conversations that achieved their intended outcomes. What counts as successful:
  • Calls marked with Success status
  • Voicemail messages left (when configured)
  • Other positive outcome indicators
Interpretation:
  • Higher numbers indicate more productive operations
  • Compare against total for success rate calculation

Average Duration

The mean length of conversations across your history. What affects this metric:
  • Nature of calls (complex vs. simple)
  • AI employee configuration
  • Caller engagement levels
  • Early hangups or extended conversations

Success Rate

Percentage of successful outcomes relative to total attempts. Calculation: Successful calls / Total calls x 100 Benchmarks vary by:
  • Inbound vs. outbound mix
  • Industry and use case
  • Target audience quality

Searching Conversations

Find specific conversations using the search functionality.

Search Capabilities

The search bar allows searching across:
  • Conversation titles
  • Contact names (first and last)
  • Phone numbers (sender and recipient)
  • Conversation summaries (if available)

Search Behavior

Instant results: Results update as you type. Case insensitive: No need to match capitalization. Partial matching: Partial strings match relevant records.

Effective Search Strategies

By contact: Enter a contact’s name to find all their conversations. By phone number: Search for a specific number to see related calls. By topic: If titles contain topic keywords, search for them. By date: Combine with date filters for time-specific searches.

Filtering Options

Powerful filtering helps you analyze specific subsets of your call history.

Status Filter

Filter by conversation outcome: Available statuses:
  • Success
  • Failed
  • Voicemail
  • No Answer
  • Busy
  • Canceled
Multi-select: Choose multiple statuses to include.

Direction Filter

Filter by call direction: Inbound: Calls initiated by contacts calling in. Outbound: Calls initiated by AI employees. All: Include both directions.

Channel Filter

If multiple communication channels are used, filter by:
  • Voice calls
  • Other configured channels

AI Employee Filter

Focus on conversations from specific AI employees:
  • Select one or more employees
  • Useful for comparing performance
  • Helpful when troubleshooting specific configurations

Date Filters

Narrow by time period: Preset ranges:
  • Last 3 days
  • Last 7 days
  • Last 14 days
  • Last 30 days
  • Last 90 days
Custom range:
  • Date From: Starting date
  • Date To: Ending date

Duration Filters

Find calls within specific length ranges: Minimum Duration: Calls at least this long. Maximum Duration: Calls no longer than this. Use cases:
  • Find very short calls (potential issues)
  • Find very long calls (might need review)
  • Identify typical duration ranges

Phone Number Filter

Search for conversations involving specific numbers:
  • Sender telephone
  • Recipient telephone
  • Partial number matching

Property Filters

If custom properties are configured for conversations, filter by:
  • Property type selection
  • Value matching

Filter Badges

Active filters display as badges above the table:
  • Each badge shows the active filter
  • Click to remove individual filters
  • Clear all option resets filtering

Column Configuration

Customize the table display to show relevant information.

Standard Columns

Title: The conversation subject or auto-generated title. Often based on main topic or contact name. Contact: The person who participated in the conversation. Links to contact detail page. Employee: The AI employee who handled the call. Links to employee detail page. Status: Visual badge indicating conversation outcome. Direction: Arrow indicator showing inbound or outbound. Channel: Communication channel used. Duration: Length of the conversation displayed as MM:SS. Date: When the conversation started.

Property Columns

Custom properties appear as additional column options:
  • Add columns for relevant properties
  • View property values directly in the table
  • Useful for segmentation visibility

Column Visibility

Toggle columns on or off:
  • Access the column picker
  • Check boxes for desired columns
  • Uncheck columns to hide

Column Order

Rearrange columns to match your workflow:
  • Drag columns to new positions
  • Place priority information first
  • Configuration persists across sessions

Understanding Conversation Status

Status indicates the outcome of each conversation.

Success

The call achieved its intended purpose:
  • Conversation completed naturally
  • Objectives were met
  • No technical issues
Visual indicator: Green badge

Voicemail

The AI employee encountered a voicemail system:
  • Voicemail was detected
  • Response depended on configuration
  • Message may have been left
Visual indicator: Distinct badge color

No Answer

The call was not picked up:
  • Phone rang without answer
  • No voicemail system detected
  • Eventually timed out
Visual indicator: Typically muted color

Busy

The line was engaged:
  • Recipient was on another call
  • Busy signal received
  • Unable to connect
Visual indicator: Warning color

Failed

Technical issues prevented completion:
  • Network problems
  • System errors
  • Audio quality issues
Visual indicator: Red or error color

Canceled

The call was terminated before completion:
  • User intervention
  • System rules triggered
  • Campaign stopped
Visual indicator: Neutral badge

Conversation Row Information

Each row in the conversation table provides key information at a glance.

Primary Identifier

The first column (typically Title or Contact) includes:
  • Visual avatar or status icon
  • Clickable link to full details
  • Truncated text if too long

Contact Information

When displaying contact:
  • Full name when available
  • “Unknown Contact” for unlinked conversations
  • Link to contact detail page

AI Employee Reference

The employee column shows:
  • AI employee name
  • Link to employee page
  • Indicator if employee was deleted

Duration Display

Duration appears in readable format:
  • MM:SS format (e.g., “3:45”)
  • Dash or zero for minimal duration
  • Monospace font for alignment

Date Display

Timestamps show:
  • Date of the conversation
  • Time may be included
  • Format follows your locale settings

Quick Actions

Each conversation row includes an actions menu.

View Details

Navigate to the full conversation detail page:
  • Complete transcript
  • Audio recording
  • Metadata
  • Evaluations

Call Actions

Additional actions may include:
  • Call the contact again
  • Link to different contact
  • Add to campaign

Archive/Delete

Depending on permissions:
  • Archive to remove from active view
  • Delete for permanent removal

Pagination and Navigation

Navigate through large conversation lists efficiently.

Page Controls

Pagination appears when results exceed page size:
  • Current page indicator
  • Previous/Next buttons
  • Page size selection

Page Size Options

Choose how many conversations display per page:
  • 10, 25, 50, or 100 options typically
  • Balance between information density and performance
  • Preference is remembered

Result Counts

Information displays showing:
  • Total number of matching conversations
  • Current page range
  • Effect of active filters on counts

Maintaining Context

When navigating to conversation details:
  • Return navigation preserves your place
  • Filters remain active
  • Scroll position may be maintained

Summary

The Call History section is your window into all communication handled by your AI employees. By effectively using search, filters, and column configuration, you can quickly find specific conversations, analyze patterns, and ensure quality across your operations. Regular review of call history, combined with the filtering tools available, enables data-driven decision making and continuous improvement of your AI employee performance.