Track chat replies and wait times. Benchmark agents, channels, and shifts using consistent speed metrics. Improve team responsiveness with clearer service timing decisions today.
| Period | Chats Received | Chats Answered | Total First-Response Minutes | Follow-Up Reply Count | Total Follow-Up Minutes | Chats Within SLA | Target SLA |
|---|---|---|---|---|---|---|---|
| Monday | 420 | 400 | 1120 | 320 | 860 | 345 | 5 min |
| Tuesday | 450 | 420 | 1260 | 350 | 980 | 360 | 5 min |
| Wednesday | 390 | 370 | 980 | 300 | 770 | 332 | 5 min |
| Thursday | 480 | 435 | 1425 | 372 | 1104 | 358 | 5 min |
Use one row per shift, campaign day, support team, or chat channel to compare service speed patterns.
Average First Response Time = Total First-Response Minutes ÷ Chats Answered
Average Follow-Up Response Time = Total Follow-Up Response Minutes ÷ Follow-Up Reply Count
Weighted Average Response = (Total First-Response Minutes + Total Follow-Up Minutes) ÷ (Chats Answered + Follow-Up Reply Count)
SLA Attainment (%) = (Chats Within SLA ÷ Chats Answered) × 100
Coverage Rate (%) = (Chats Answered ÷ Chats Received) × 100
Chats per Agent Hour = Chats Answered ÷ (Agents Staffed × Active Hours)
Consistency Score = 100 − [((Longest Response − Shortest Response) ÷ Target SLA) × 10]
Efficiency Index = 30% SLA + 25% Coverage + 20% Speed + 15% Throughput + 10% Consistency
This structure helps marketing teams judge chat responsiveness beyond one average, especially during launches, promotions, or lead-generation surges.
It measures first response speed, follow-up delays, SLA attainment, workload coverage, throughput, and a combined efficiency score for chat operations.
Fast first replies can reduce lead drop-off, improve engagement, and support stronger conversion performance during campaigns or promotional traffic spikes.
First response measures the delay before the first agent reply. Follow-up response measures later reply gaps during the same conversation.
It shows the percentage of answered chats that met your target response time. Higher values indicate stronger adherence to service standards.
This metric links responsiveness with staffing output. It helps you see whether teams handled enough chats for the labor hours used.
Yes. You can run separate calculations for website chat, social messaging, sales chat, or support chat and compare their results.
It estimates how stable your response times are. Smaller gaps between fastest and slowest replies usually produce a stronger score.
Use it when you want one summary score for reporting, trend tracking, or comparing shifts, campaigns, teams, or service windows.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.