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21 July, 2025

How Many Agents Do I Need? A Quick Guide for Contact Centers

Illustration with the text 'How Many Agents Do I Need?' showing a contact center agent wearing a headset next to a colorful scheduling chart and line graph, in Spark Queue’s brand colors of navy blue and orange.

If you manage a contact center, one of your biggest questions is simple:
How many agents do I need to meet my service levels?


The go-to method for answering that is the Erlang C formula — the industry standard for estimating staffing needs in environments where calls are queued and answered in the order they arrive.


But here’s the catch: Erlang C on its own only gives you the base number of agents under perfect conditions. Real-world staffing requires extra steps, and that’s where most teams trip up.

Step 1 – Gather Your Data

Infographic showing five key metrics for calculating contact center staffing: Call Volume, Average Handle Time (AHT), Service Level Goal, and Shrinkage & Occupancy combined into one metric, each represented with simple orange and navy blue icons on a light beige background.


Before you can calculate staffing needs, you’ll need a few key metrics:

  • Call Volume: The number of calls (or contacts) you expect in a given time period.

  • Average Handle Time (AHT): How long each interaction takes, including talk and after-call work.

  • Service Level Goal: The percentage of calls you want answered within a set time (e.g., 80% within 20 seconds).

  • Shrinkage: The percentage of time agents are unavailable for calls (breaks, meetings, training, PTO, etc.).

  • Occupancy: The percentage of time agents spend actively handling interactions versus waiting for the next one. High occupancy can lead to burnout, while low occupancy may indicate overstaffing.

Pro tip: If you have interval data (X amount of calls per hour), use it. Staffing from daily averages can hide peak periods and lead to missed service goals.


Step 2 – Use the Erlang C Formula


Most workforce planners use the Erlang C formula to determine the minimum number of agents needed to meet service levels. There are free calculators online if you're looking to do this yourself and save a bit of time. The formula itself can be heavy to digest..


While the math can get technical, here’s the concept:

  • Inputs: Call volume, AHT, service level target

  • Output: Required number of staffed agents


Example:

  • Volume: 500 calls in an hour

  • AHT: 300 seconds (5 minutes)

  • Service Level Goal: 80% in 20 seconds


Plugging these into an Erlang C calculator gives you the minimum number of agents needed to meet your service level under perfect availability — meaning no breaks, no meetings, no absences, and no multi-tasking.


And if you just went “yikes,” you’re not wrong.


That’s one of the biggest problems with using a basic calculator — it gives you the ideal scenario, not the real-world one. If you don’t adjust for things like shrinkage and occupancy, you’ll almost certainly be underestimating your staffing needs.



Step 3 – Factor in Shrinkage & Occupancy


Once you have your base staffing from Erlang C, you need to adjust it for reality.


Shrinkage:


If your shrinkage is 30%, you’ll need to increase your base staffing:

Base Staffing × (1 / (1 - Shrinkage %))


Using our example:

  • Base staffing from Erlang C: 19 agents

  • Shrinkage: 30%

  • Adjusted staffing: 19 ÷ (1 - 0.30) = 27 agents


Occupancy:


Occupancy is the percentage of time agents spend actively handling calls versus waiting for the next one. High occupancy (90%+) can cause burnout, while low occupancy can mean overstaffing.


Formula:

Occupancy = Traffic Intensity (in Erlangs - your calculator should output this number) ÷ Number of Agents


If your calculated occupancy is higher than your target (say, 85%), add agents until you reach the desired balance.


The easy way: Instead of running these adjustments manually, Spark Queue calculates staffing that meets your service level and respects your shrinkage and occupancy limits — in one step — across every interval of the day.


Step 4 – Understand the Limits of Free Erlang Calculators


Free Erlang C calculators are great for quick estimates, but they:

  • Only give you a single number, not a full-day staffing plan

  • Don’t show coverage by interval or highlight peak-hour gaps

  • Don't account for multi-channel work with agents handling multiple queues (calls, chat, email, SMS)

  • Require you to re-run everything manually for “what if” scenarios


This is why so many teams plug numbers into a calculator, get “the number,” and still miss service levels.


Step 5 – Bridge the Gap Between a Number and a Plan


That’s where Spark Queue comes in.


We use Erlang C for the math — then layer in the real-world intelligent logic that turns a static number into an actionable plan.


With Spark Queue, you can:

  • See all channels in one view – Calls, chat, email, and SMS together

  • Plan for reality – Shrinkage is built in automatically

  • Spot coverage gaps instantly – Interval-by-interval staffing view

  • Adapt on the fly – Change volume or handle time and see updates instantly

  • Turn math into a schedule – Add your agents in and know exactly where you’re over or understaffed


Final Thoughts


Erlang C is a proven formula for determining base staffing, but it’s only the starting point. If you stop there, you risk missing your service levels — or burning out your agents.


By layering in shrinkage, occupancy, multi-channel planning, and real-time schedule visibility, Spark Queue gives you the accuracy of Erlang C with the flexibility of a workforce manager’s brain — no spreadsheets, no guesswork.

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Plan Smarter.
Perform Better.

Plan Smarter.
Perform Better.

You’ve got the tips — now get the scheduling tool built for small and mid-sized call centers to forecast, schedule, and staff like the big guys.

You’ve got the tips — now get the scheduling tool built for small and mid-sized call centers to forecast, schedule, and staff like the big guys.

staffing requirements and coverage table displaying the number of agents you are over/under by channel.
staffing requirements and coverage table displaying the number of agents you are over/under by channel.