Operations

The Hidden Cost of AHT Optimisation Done Wrong

04 Jun 2025 8 min read Vyanastrot Research Team

Average handle time remains the most-watched metric in contact centre operations. It is easy to measure, easy to benchmark, and easy to build dashboards around. It is also the metric most frequently mismanaged — and the one whose mismanagement most reliably produces poor customer outcomes.

The AHT Paradox

AHT is an efficiency metric. Its value lies in what it reveals about process quality: well-trained agents with good knowledge base access, clear escalation paths, and effective systems handle contacts faster than undertrained agents navigating poorly designed workflows.

In this sense, AHT improvement is a legitimate and valuable operational goal. The problem arises when AHT becomes a target rather than an output — when agents are rewarded or penalised based directly on their average call duration, independent of whether the customer's issue was resolved.

When this happens, agents have a direct financial incentive to end calls quickly. The customer's problem becomes secondary to the duration of the interaction. The downstream cost is invisible to the AHT dashboard but very visible in repeat contact rates, escalation volumes, and customer churn.

What Aggressive AHT Targeting Actually Does

The research on this is consistent across geographies and sectors:

  1. Repeat contacts increase. Issues that are not fully resolved on first contact generate additional inbound volume. The total time spent per issue — across two or three contacts — substantially exceeds what a single thorough interaction would have required.
  1. Escalations rise. Agents who feel pressure to close calls quickly are more likely to transfer contacts than to work through complexity. This shifts cost to higher-tier resources.
  1. CSAT declines. Customers who feel rushed, or who receive answers that turn out to be incomplete, report lower satisfaction — regardless of how quickly the interaction ended.
  1. Churn follows. In sectors where switching costs are low, a pattern of poor resolution quality has a measurable impact on retention.

The hidden cost of a 30-second AHT reduction achieved through premature call closure is often three times that saving in repeat contact handling, escalation time, and churn-related revenue loss.

The Right Framework

AHT should be managed as part of a balanced metrics framework, not in isolation. The metrics that counterbalance AHT are:

  • First Contact Resolution (FCR): Was the issue resolved without the customer needing to contact again?
  • CSAT: Did the customer feel the interaction was competent and respectful?
  • Transfer rate: How often are agents passing contacts they should be resolving?
  • Repeat contact rate: How frequently do the same customers call back for the same issue?

When these metrics are tracked alongside AHT — and when agent incentive structures reflect the full picture — AHT improvements that are achieved through genuine efficiency gains are distinguished from those achieved by cutting interactions short.

What Good AHT Management Looks Like

The operations that achieve genuine AHT improvement — without the hidden costs described above — do so through:

  • Knowledge base investment: Agents who can find accurate answers quickly handle calls faster without compromising resolution quality
  • Call flow design: Well-structured interaction frameworks that guide agents through complex scenarios efficiently
  • Training quality: Agents with deep product and process knowledge resolve issues faster, not because they rush, but because they understand
  • System integration: CRM and knowledge base access at the agent's fingertips, not requiring transfers to find basic information
  • Calibration sessions: Regular review of call recordings where speed and quality are assessed together, not in separate tracks

Reframing the Conversation

The right question is not "How do we reduce AHT?" — it is "How do we reduce the total time customers spend to get their issues resolved?"

These are different questions. The first optimises a metric. The second optimises an outcome. The operations that understand the distinction consistently outperform those that do not.

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