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10 September 2026 · how the standard is built

Sixteen parameters
and forty versions

A service quality standard is easy to download and impossible to apply in somebody else's form. It starts working once it describes not only good answers but also the exceptions: when a parameter does not count, what to do with a block that has lost all its parameters, and how to score an agent on a day when the product is down. My standard has been through more than forty versions, and the effect of every amendment was measured.

54 → 85
per cent quality against the standard, held inside the target band
16
parameters scored on every conversation
40+
versions of the standard, each with its effect measured
42 → 94
per cent customer satisfaction against a target of 80
01

Full sampling instead of spot checks

Scoring covers every conversation of the week, not three selected ones. That is only possible with automation: the volume cannot be reviewed by hand, which is exactly why most service teams sample. The difference is not about effort, it is about trust: with a sample of three, an agent fairly says "I was unlucky", and there is nothing to argue with.

02

The rules that usually are not there

Four mechanics added from practice
  1. Excluding a parameter. If the conversation gave no occasion for an action, the parameter is not counted and does not enter the percentage. Otherwise an agent is penalised for something that was never required
  2. Dropping a block. A block left with a single counted parameter is excluded in full: one score cannot represent a quarter of the result
  3. Redistributing weight. When a block drops out, the weight of the rest grows on its own: three at 33 per cent, four at 25, five at 20
  4. The incident window. When the product is down and the fix is not in the agents' hands, the parameters outside their control leave the base. Speed, tone and closing remain

The standard also has a ceiling above one hundred per cent: an action taken where it was not required is rewarded, up to a maximum of 101%. That looks odd until you meet the opposite effect: without such a rule agents stop doing anything extra, even when it helps the customer.

03

Every amendment is measured

Forty versions is not a sign of indecision. The standard is amended on the back of each week and the amendment is checked the following one: did the average move, did the contested parameter stop causing arguments, did a miss start growing in a neighbouring block.

Some amendments were reversed. One rule that required two conditions at once was withdrawn: it systematically understated the score for one category of contacts. Such reversals are recorded together with the reason, otherwise the rule comes back in six months.

04

The standard does not live apart from the documentation

Scoring an agent against a standard that contradicts the policy and the training course is pointless: they will answer from whichever document they read last. So the standard is built into a single source of knowledge that produces twenty-three policies, ten courses, a bank of 284 questions and a public FAQ section.

I always quote the 94% satisfaction figure together with its survey coverage, which is around four per cent. Without that it sounds stronger than it is.
Analysis An AI agent on the line: a third of the traffic, the same standard
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Analysis for the CV · back to the personal file Individual agent scores and internal documents are not published