---
title: "Track These 5 Customer Support Metrics to Boost Efficiency"
description: "The post presents five customer support metrics the author found useful while scaling Intercom’s team to over 15,000 customers. It warns against using data as a crystal ball and advises keeping metrics in perspective. Total conversations reveal support trends but can mislead if used alone. Conversations per teammate per day is central to hiring planning, with Intercom adjusting its target from 35 to 30 as the team grew. Response time should be examined via median and 90th percentile, not just average, and grouped by hour and day to detect understaffed periods. Customer satisfaction is measured through lightweight surveys like a simple Good/OK/Bad link or a Net Promoter Score to anticipate churn."
---

# Track These 5 Customer Support Metrics to Boost Efficiency

[Intercom](https://yomu.fyi/company/intercom) · Oct 8, 2026

**Type:** Explainer

## Summary

The post presents five customer support metrics the author found useful while scaling Intercom’s team to over 15,000 customers. It warns against using data as a crystal ball and advises keeping metrics in perspective. Total conversations reveal support trends but can mislead if used alone. Conversations per teammate per day is central to hiring planning, with Intercom adjusting its target from 35 to 30 as the team grew. Response time should be examined via median and 90th percentile, not just average, and grouped by hour and day to detect understaffed periods. Customer satisfaction is measured through lightweight surveys like a simple Good/OK/Bad link or a Net Promoter Score to anticipate churn.

## Approach / What changed

The post proposes tracking five metrics: total conversations, conversations per teammate, conversations per teammate per day, response time (including median and 90th percentile), and customer satisfaction measured via a lightweight survey such as a three-point scale or NPS.

## Takeaways

- Tracking total conversations over time reveals support trends, hiring needs, and workload, but it can mislead if not paired with other metrics because not all conversations require the same effort.
- Conversations per teammate per day is a cornerstone of recruitment planning; Intercom revised its target from 35 to 30 as the team became larger and more complex.
- Response time should be measured using median and 90th percentile, not just average, and grouped by day and hour to identify times that need shift changes or more hires.

## FAQ

### How should I measure response time beyond just average?

Use both the average (mean) and the median to limit the effect of outliers, and also examine the 90th percentile to find the longest wait time for 90% of customers. Group reply times by day of the week and hour to spot underperformed periods that may require staggered shifts or more hires.

### What is a lightweight way to measure customer satisfaction?

A common approach is adding a simple question to support emails asking the customer how they did, with three clickable links labeled Good, OK, and Bad. Products can also append a Net Promoter Score (NPS) survey to the email footer, requiring minimal effort from the customer.

### Can response time be a misleading metric?

The post warns that first response time can be gamed by answering calls and hanging up immediately or by copying and pasting canned responses. Making first response time the primary target for individual performance is therefore not wise.

**Tags:** [Customer Experience](https://yomu.fyi/topic/customer-experience), [Customer Support](https://yomu.fyi/topic/customer-support), [Metrics](https://yomu.fyi/topic/metrics), [SaaS](https://yomu.fyi/topic/saas)

- Source: [Intercom](https://www.intercom.com/blog/5-support-metrics-that-matter)
- Source URL: https://www.intercom.com/blog/5-support-metrics-that-matter
- Ingested by Yomu: 2026-10-08T21:00:30.743Z

[Read original post](https://www.intercom.com/blog/5-support-metrics-that-matter)