What is a good AHT and when are you chasing the wrong number?

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A good AHT (Average Handle Time) is one that fits the complexity of your customer contact, not one that meets a universal benchmark. There is no magic number that applies to every organization. The right AHT depends on your industry, the type of incoming inquiries, and the quality you want to deliver. In this article, we answer the most frequently asked questions around AHT, so you really understand this metric and deploy it smartly. Also, check out our CX solutions if you want to understand how customer contact as a whole can work better.

What determines whether an AHT is “good” in your situation?

An AHT is good if it is commensurate with the complexity of the interaction, customer satisfaction remains high, and employees do not unnecessarily waste time on avoidable actions. There is no universal standard. An average handling time of four minutes may be excellent for a simple status question, but far too short for a technical problem that really requires attention.

What qualifies your AHT as “good” depends on a number of concrete factors:

  • Contact type: Information inquiries are inherently shorter than complaints or technical support.
  • Sector: In healthcare or housing associations, longer call duration is often unavoidable and even desirable.
  • Channel: Chat and e-mail have different dynamics than telephony.
  • Client segment: Vulnerable audiences require more time and attention per contact.

So the first step is not to compare your AHT to an industry benchmark, but to understand what your specific customer contact requires.

What factors drive up a high AHT?

High AHT is most often caused by slow systems, poor routing, missing information and unnecessary manual actions during or after a call. Many of these causes are structural and say more about the design of your contact center than the performance of individual employees.

The most common drivers of high AHT are:

  • Poor routing: Customers end up in the wrong department and have to be transferred, which doubles call duration.
  • Fragmented systems: Employees switch between four to six screens to help one customer.
  • Long after call work (ACW): Notes, codes and administration after the call count in the AHT, but are often forgotten in analyses.
  • Missing knowledge base: Employees search for answers while customer waits.
  • Repeat calls: Customers who call back because their problem was not resolved the first time generate additional and longer contact moments.

Thus, high AHT is rarely a motivational problem. It is almost always a systems problem.

When exactly is low AHT a warning signal?

Low AHT is a warning sign if it is associated with declining customer satisfaction, lots of repeat calls or employees cutting off conversations before the problem is truly resolved. Speed without resolution is not profit; it is cost deferral.

This pattern frequently emerges when teams are judged on AHT as the primary KPI. Employees then unconsciously learn behaviors that compress time without actually helping the customer. Consider:

  • Ending conversations early with half an answer.
  • Referring customers to another channel instead of solving the problem directly.
  • Register complaints as “handled” while the customer is still waiting for follow-up action.

If your AHT is falling but your First Contact Resolution (FCR) is also falling, then something is fundamentally wrong. Low AHT is positive only if the quality of handling remains the same or improves.

How does AHT compare to FCR and CSAT?

AHT, FCR and CSAT each measure a different aspect of customer contact and should always be interpreted together. AHT measures efficiency, FCR measures effectiveness, and CSAT measures perception. A high score on one metric without monitoring the other two produces a distorted picture.

The relationship between these three KPIs is strong and reciprocal:

  • A high FCR lowers the AHT over time as repeat calls are eliminated.
  • Too low an AHT harms the CSAT when customers feel they are being handled rather than helped.
  • A high CSAT without a good FCR can be misleading: customers are satisfied with the friendliness but still call back.

The healthiest situation is a stable or slightly declining AHT, combined with a rising FCR and a stable or rising CSAT. Only when these three are in balance can you speak of real improvement in your customer contact.

How do you lower AHT without sacrificing quality?

You reduce AHT without losing quality by eliminating causes of unnecessary time wasting, not by putting employees under time pressure. The most effective approach focuses on better tools, smarter routing and fewer manual operations.

Concrete steps that can be shown to work:

  1. Improve routing: Get customers directly to the right employee or team. Every throughput adds up to the AHT.
  2. Integrate systems: When employees see customer information on one screen, they don’t have to search during the call.
  3. Automate after call work: Call summaries and codes filled in automatically save minutes per contact.
  4. Build an accessible knowledge base: Employees who find the right answer quickly don’t have to keep customers waiting.
  5. Analyze the top questions: If ten percent of your contact volume consists of the same question, that’s a signal to proactively answer that question through self-service or targeted communications.

The key is always: make it easier for employees, not faster. Speed follows naturally when the environment is set up properly.

What KPIs do you use in addition to AHT for a complete picture?

In addition to AHT, use at least FCR, CSAT, service level and contact volume by category for a complete picture of your customer contact. Only with this combination can you distinguish between efficiency, quality and accessibility. Learn more about how to use contact center technology to access all this data centrally on our technology page.

An overview of key additional KPIs:

  • First Contact Resolution (FCR): Is the problem resolved in one contact? This is the strongest indicator of quality.
  • Customer Satisfaction Score (CSAT): How satisfied is the customer with the interaction? A measurement immediately after contact provides the most reliable picture.
  • Service Level: What percentage of calls are answered within a given time? Essential for reachability.
  • Abandon rate: How many customers hang up before reaching someone? A high abandon rate indicates capacity problems.
  • Contact reason distribution: what questions come in most often? This drives priorities for training, automation and self-service.
  • Net Promoter Score (NPS): Provides insight into long-term loyalty, independent of a specific interaction.

No KPI tells the whole story. AHT is a useful metric as long as you put it in context and never use it as the only control number.

How Pegamento helps with AHT and customer contact optimization

We understand that excessive AHT is rarely a people problem. It’s almost always a systems problem. Pegamento helps organizations address the root causes of inefficiency with customized solutions built from proven standard building blocks, without costly customization.

What we specifically do:

  • Smart routing that takes customers directly to the right employee, without transferring them.
  • Omnichannel integration so employees see all customer information on one screen, regardless of channel.
  • Agentic AI assistants that handle repetitive queries independently and support employees in complex cases. This is what we call Agentic AI: an evolution from executive bots to self-thinking assistants that not only follow instructions, but take initiative and act independently.
  • Centralized reporting so you can finally measure and adjust AHT, FCR and CSAT in conjunction.
  • Everything under one roof: from implementation to management and support, with one point of contact.

Want to know what’s possible in your specific situation? Get in touch and together we will look at the best approach for your customer contact.

Frequently Asked Questions

Hoe vaak moet ik mijn AHT meten en evalueren?

AHT is het meest waardevol als je het continu monitort in combinatie met andere KPI’s zoals FCR en CSAT, maar diepgaande evaluaties doe je het beste maandelijks of per kwartaal. Dagelijkse schommelingen in AHT zijn normaal en zeggen weinig; pas als je structurele trends ziet over een langere periode, kun je zinvolle conclusies trekken en gerichte verbeteracties inzetten.

Wat is een realistisch startpunt als ik mijn AHT wil verbeteren?

Begin met een grondige analyse van je huidige contactredenen en identificeer de tien procent vragen die het meeste volume genereren én de langste gespreksduur hebben. Dit geeft je direct inzicht in waar de meeste winst te behalen is, zonder dat je meteen grote systeemwijzigingen hoeft door te voeren. Een gerichte aanpak op een klein aantal hoog-impact contacttypen levert sneller en meetbaarder resultaat dan een brede verbeterslag.

Hoe ga ik om met medewerkers die structureel een hogere AHT hebben dan hun collega's?

Kijk eerst naar de oorzaak voordat je conclusies trekt: werkt deze medewerker op complexere dossiers, helpt hij een kwetsbaardere doelgroep, of zijn er inderdaad vaardigheidshiaten? Een hogere AHT kan juist wijzen op grondigheid en kwaliteit. Als er na analyse toch sprake is van inefficiëntie, richt coaching dan op concrete knelpunten zoals systeemgebruik of gespreksstructuur, niet op de tijd zelf.

Heeft het type kanaal (telefoon, chat, e-mail) invloed op hoe ik AHT moet interpreteren?

Absoluut, en het is een veelgemaakte fout om AHT over kanalen heen te vergelijken zonder context. Bij chat kan een medewerker meerdere gesprekken tegelijk voeren, waardoor de individuele gespreksduur langer lijkt maar de productiviteit juist hoger is. E-mail kent geen real-time component en vraagt een andere meetmethode. Definieer per kanaal wat ‘handle time’ precies omvat, inclusief of en hoe after call work of naverwerking wordt meegeteld.

Kan automatisering en AI mijn AHT verlagen zonder dat de klanttevredenheid daalt?

Ja, mits je automatisering inzet voor de juiste contacttypen: repeterende, eenvoudige vragen waarbij de klant snel een accuraat antwoord wil. AI-assistenten die medewerkers tijdens het gesprek realtime ondersteunen met suggesties en samenvattingen, verlagen de AHT én verbeteren de kwaliteit tegelijkertijd. De valkuil is automatisering inzetten op complexe of emotionele contacten, waarbij persoonlijk contact juist essentieel is voor klanttevredenheid.

Hoe voorkom ik dat mijn team AHT gaat 'gamemen' om de cijfers te halen?

Zorg ervoor dat AHT nooit als enige of primaire KPI wordt gebruikt voor individuele beoordelingen. Koppel prestatiemetingen altijd aan een combinatie van AHT, FCR en CSAT, zodat medewerkers worden beloond voor het echt oplossen van problemen en niet voor het snel afsluiten van gesprekken. Transparantie over waarom je AHT meet en wat je er wél en niet mee doet, vermindert de prikkel om het systeem te omzeilen.

Wat is het verschil tussen AHT verlagen en contacttijd optimaliseren?

AHT verlagen suggereert dat snelheid het doel is, terwijl contacttijd optimaliseren betekent dat elk contact precies zoveel tijd krijgt als nodig is, niet meer en niet minder. Optimalisatie richt zich op het wegnemen van verspilling zoals zoektijd, doorverbinden en handmatige administratie, terwijl ruimte blijft voor de complexiteit die een klant of situatie vraagt. Dit onderscheid in mindset bepaalt of je verbeteringen duurzaam zijn of ten koste gaan van kwaliteit.

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