In this post, we’ll uncover some of the best tips to incorporate scheduling, automation, prioritization, and other strategies to cultivate a winning call center environment while also looking at how tools like Analytics 365 can help. Here’s all you need to know.
What is an SLA?
An SLA, short for Service Level Agreement, is a formal agreement between service providers and their clients that outlines the expected level of service. It serves as a benchmark for performance and a pledge of quality assurance to customers. In the context of call centers, though, a primary focus is on call response time, which is an example of first response times.
Key Call Center SLA Metrics
Despite the growth of live chat and other customer support avenues, calls remain the easiest method for consumers to get the help they need. To keep your center running smoothly, the following SLAs may be used:
- Call Response Time: The percentage of incoming calls answered within a predetermined number of seconds.
- First Call Resolution (FCR): The percentage of calls resolved on the first interaction, without the need for a follow-up.
- Average Handle Time (AHT): The average duration of a customer interaction from start to finish. Average handle time definition: AHT covers talk time, hold time, and after-call work (wrap-up). To calculate AHT, add total talk time, total hold time, and total after-call work time, then divide by the number of calls handled. Average handling time is one of the most closely watched call center average handling times because it directly affects how many calls a team can take — and whether SLAs are met.
- Customer Satisfaction (CSAT): A measure of how products and services supplied by a company meet or surpass customer expectations, often obtained through post-call surveys.
- Abandon Rate: The percentage of calls terminated by the caller before being connected to an agent.
- Service Level: The percentage of calls answered within a specific time frame, often set at 20 seconds or less. The 80/20 rule suggests that you should aim for at least 80%.
- Average Speed of Answer (ASA): The average time it takes for an incoming call to be answered by an agent.
- Call Quality: Assessed through monitoring and evaluation, focusing on aspects such as adherence to protocols, communication skills, and problem-solving ability.
- Agent Occupancy: The percentage of time agents spend handling calls or completing after-call work compared to their available time.
Seven Strategies to Optimize Call Response Times
You now understand the importance of SLAs. Here are seven strategies to help you optimize call response times in your call center.
1. Effective Staff Scheduling
Effective staff scheduling in call centers is arguably harder than in any other setting due to fluctuating call volumes and levels of demand. However, failing to satisfy the demand at all times can lead to long wait times, missed calls, and damaged customer satisfaction. Knowing how to optimize call center staff scheduling during peak times is particularly important for maintaining SLA compliance. Part-time and flexible staff can work wonders for the company, while giving customers the option to request a callback helps avoid the repercussions of being overwhelmed at any given time. Still, analyzing historical call data to understand trends in call volume, including peak times, seasonal fluctuations, and unexpected spikes, should enable you to stay on top of the situation through predictive scheduling.
2. Leverage Automation
Automation can reduce the burden on agents for repetitive tasks, freeing them to focus on customer interactions. Auto-responses, intelligent routing, and IVR systems help ensure callers reach the right agent faster, reducing both wait times and average handle time call center teams are expected to manage.
3. Call Prioritization
Not all calls carry equal urgency. Prioritizing high-value or high-risk callers through skills-based routing and escalation rules can protect SLA compliance for the calls that matter most, without necessarily reducing average call handling time across the board.
4. Agent Training and Coaching
Well-trained agents resolve calls more confidently and consistently. Regular coaching, based on real call recordings and performance data, is one of the most effective average handle time tips available — because it targets the root cause of long calls rather than simply pressuring agents to work faster. Reviewing call recordings to identify where agents spend the most time — whether that’s searching for information, navigating systems, or completing post-call notes — helps managers coach with precision. Reducing unnecessary after-call work time is often the quickest way to bring down call center average handling time without compromising call quality.
5. Real-Time Monitoring and Dashboards
Real-time dashboards give supervisors instant visibility into queue lengths, agent availability, and live call durations. Tracking average talk time alongside after-call work separately helps identify whether average handling time issues are happening during the conversation or in the wrap-up phase — a distinction that determines which interventions will actually help.
6. Quality Monitoring
Consistent quality monitoring ensures agents adhere to scripts, compliance requirements, and brand standards. It also provides the data needed to identify patterns — which call types take longest, which agents need support, and where process improvements can make the biggest difference to average handle time call center metrics.
7. Use the Right Technology
The tools available to call center managers have expanded significantly. From call recording and transcription to AI-powered performance scoring, the right technology reduces admin burden, surfaces insight faster, and gives agents the support they need to handle calls more effectively.
Average Handle Time: What It Is and How to Improve It
Average handle time (AHT) is one of the most important call center average handling times to track. It measures the full duration of a customer interaction — from the moment an agent picks up to the point where all post-call tasks are complete.
Average Handle Time Definition
Average handling time is calculated using this formula: AHT = (Total Talk Time + Total Hold Time + Total After-Call Work Time) ÷ Total Number of Calls Of the three components, after-call work — also called wrap-up time — is the one most directly influenced by process and tooling. Talk time depends largely on call complexity and customer need. Hold time relates to agent knowledge and system access. But after-call work is where teams most consistently find room to improve average handle time without compromising quality.
Average Handle Time Tips
The most effective average handle time tips focus on the wrap-up phase rather than rushing agents through conversations. After-call work typically includes logging call notes, updating CRM records, sending follow-up actions, and completing compliance tasks. Streamlining these steps — through better templates, clearer processes, or automatic transcription — reduces average call handling time in a sustainable way.
How Analytics 365 Can Help With Average Handle Time
It is important to be clear about where Analytics 365 fits within the AHT picture. Analytics 365 does not control talk time or hold time — those are determined by call complexity, agent knowledge, and the systems agents have access to during a call. What Analytics 365 does influence is the after-call work component of average handle time.
By automatically transcribing calls, Analytics 365 removes the need for agents to write detailed post-call notes from memory — one of the most common contributors to long wrap-up times. Managers can also use call recordings and performance scoring to identify which agents have the highest after-call work times, and coach specifically on wrap-up efficiency rather than making blanket assumptions about why average handle time call center figures are elevated.
Over time, this targeted approach to coaching — grounded in real call data rather than aggregate averages — gives managers the evidence they need to bring down call center average handling times in a way that is both measurable and fair to agents.
How Analytics 365 Can Help
Analytics 365 offers a powerful call analytics tool that can help call center managers identify a whole variety of call patterns that make it easier to manage operations. The software, which uses Microsoft Teams, makes it easier for managers to identify customer wait times, call demand, and call drop-off. The tool also helps managers track key average handle time call center metrics — including average talk time and call volume trends — providing the data needed to make informed decisions about coaching, scheduling, and process improvement
