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Voice-of-customer measurement
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Voice-of-customer measurement

Customer service & experience

Voice-of-customer measurement

Voice-of-customer measurement means collecting customers' opinions, feedback and complaints systematically from all service channels. The data is then classified and analysed so that it becomes reliable information about their experience. It shows the organisation accurately what satisfies or frustrates customers, and gives it an evidence base for setting service-improvement priorities and tracking their effect.

CE-D03-04 Type: Functional

Foundational

Collects, records and summarises customer feedback accurately and consistently using the approved tools and procedures, and refers unusual cases to a supervisor.

Behavioural indicators

  1. Records every item of feedback from the approved channels (call centre, email, web forms, walk-in visits) in the system, classifying it with the approved taxonomy by channel, feedback type and service concerned.
  2. Administers the approved satisfaction survey after the transaction is completed, using the specified timing and wording without leading the customer, and enters all responses completely in the system.
  3. Reviews records before submitting them, identifies missing fields, duplicate entries and wrong classifications, and corrects or reports them.
  4. Prepares a periodic summary of the most frequent causes of dissatisfaction, with case counts and quoted examples of customers' own words, and submits it to the supervisor on schedule.
  5. Informs the customer who gave the feedback of the action taken on it, and documents this follow-up in the record before closing the case.

Learning journey

▶ Start the journey · about 11 minutes

Advanced

Designs and refines the voice-of-customer measurement system, analyses its multi-source data to reach root causes, turns findings into improvement decisions, and guides others in applying it.

Behavioural indicators

  1. Selects or adapts the measurement tool for each stage of the service journey, including the metric type (satisfaction, customer effort, likelihood to recommend), questions, sample and timing, and documents the rationale for each choice.
  2. Links survey, complaint and open-comment data with operational data to identify root causes of dissatisfaction, stating in the analysis when a change in results is real and when it stems from small samples or response bias.
  3. Presents management with a report that turns measurement findings into specific improvement recommendations, each with an owner and deadline, and tracks their effect in the next measurement cycle.
  4. Detects unusual signals, such as a sudden rise in complaints about one service or a negative comment spreading on social media, and escalates them the same day with a preliminary analysis and a proposed response.
  5. Reviews a periodic sample of staff classifications and survey administration, gives written feedback, and updates the classification guide when new categories emerge.

Learning journey

▶ Start the journey · about 12 minutes

Positions that require it

Further learning

Chosen resources for those who want to go deeper after the journey.