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Querying Intercom API — this may take 1-2 minutes for large date ranges

Customer Support Overview

Real-time message-based performance metrics from Intercom
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Important distinction — Messages vs. Conversations: This report tracks conversations as the unit of measurement. In Neona's workflow, conversations are closed after each reply. Each new customer message counts as a new incoming message. The Intercom API provides conversation-level data; the numbers below reflect conversation counts.
Weekly Breakdown
New vs. Closed Conversations (Weekly)
Cumulative Backlog Trend
Conversation Categories
Source Channel Distribution
Incoming Conversations by Day of Week
Employee Comparison Overview

Side-by-side agent performance comparison with color-coded metrics.

Agent Performance Breakdown

Based on last_closed_by across all conversations in this period.

Backlog Burndown — Scenario Projections

How to read this chart: The burndown shows projected open backlog over the next 30 days under each scenario. "Current pace" assumes today's incoming/closing rates remain constant. The +10% and +20% scenarios model what happens if team throughput increases.
Staffing Calculator

Working day based calculations (Mon–Fri). Adjust inputs below to model different scenarios.

e.g. +20 = 20% more volume
0 = use actual rate from data
Performance Indicators
Metric Definitions
New Incoming Messages
All conversations created within the period assigned to the Customer Support team inbox.
Closed Conversations
Every conversation in "closed" state created within the period. In Neona's workflow, a conversation is closed after each reply is sent.
Currently Open Messages
Conversations currently in "open" state at the time of report generation. These are awaiting a response.
Backlog (Net Difference)
New incoming minus closed conversations. Positive = backlog growing. Negative = shrinking.
First Contact Resolution (FCR)
Percentage of closed conversations with zero reopens. Higher FCR indicates issues resolved on first contact without follow-up.
Conversations Closed per Hour
Total closed conversations divided by total business hours (working days x hours/day) in the period.