We meet the SLA but still cannot explain poor outcomes or customer experience
Shared-service and BPO performance is measured through transaction volumes, timeliness, availability and contractual service levels. This becomes most visible when delivery crosses business units, regions, retained teams, providers or client accounts with different processes, measures and commercial arrangements.
Measures show whether a threshold was met but do not explain end-to-end delay, failure demand, rework or the customer’s actual outcome. The underlying weakness is the absence of a governed end-to-end service model separating global standards from justified variation and linking accountability to business outcomes.
Management optimises reported performance while hidden process failure, dissatisfaction and cost-to-serve persist. At enterprise scale, each transition, client or automation initiative repeats discovery and governance while local metrics obscure enterprise performance and risk.
Connecting service measures to the end-to-end process exposes the causes of poor outcomes and supports measures based on value rather than activity alone. In practical terms, services can be standardised, transitioned, measured and automated as reusable enterprise capabilities without losing required local or client controls.
- Measures that explain outcomes, better root-cause prioritisation and improved customer experience and cost-to-serve
- Greater standardisation and reuse
- Clearer retained and provider accountability
- Measures connected to business and customer outcomes
- Governed scaling of automation and AI
- Which SLA is consistently green while stakeholders remain dissatisfied?
- What failure demand or rework is excluded from current measures?
- Can performance be traced to the process step and dependency that caused the outcome?
- Which service has the widest gap between local SLA performance and stakeholder experience?
- What variation is legally or commercially required, and what variation is simply historical?
ISG identifies AI-led innovation as both poorly measured and strategically important, supporting a move from transaction metrics toward governed enterprise outcomes.
ISG: AI Redefines BPO Success
ISO identifies process orientation, customer focus, evidence-based decision-making and continual improvement as foundations of effective quality management.
ISO: Quality management principles