The framework · Customers & Growth

06 Product & Service Quality

9 sub-categories. The three numbers on each are the typical opportunity in that area across businesses — not your result.

Time6.7/10Financial7.9/10Automation6.6/10

These three numbers are researched cross-business benchmarks for the area — the typical opportunity available in it. They are not your score, not a forecast, and not a promise. What is actually critical depends on your business, which is what the audit is for.

6.1

Product/service performance

Time6/10Financial8/10Automation6/10
What this is
Whether the product or service does the job it promises, to the standard promised.
Why it matters
Performance is the floor everything else stands on. Marketing a product that underdelivers accelerates the damage rather than fixing it.
You have a problem here if
Complaints cluster around the core function rather than around edges.
What to automate
Instrument outcomes rather than opinions where you can — completion times, success rates, rework counts, uptime. Automated performance data turns "customers seem happy" into something you can manage.
6.2

Reliability

Time7/10Financial9/10Automation7/10
What this is
Whether it works every time, not just when conditions are good.
Why it matters
Reliability drives repeat purchase and referral more strongly than peak quality does. Customers forgive a limited offer; they do not forgive an unpredictable one.
You have a problem here if
Some jobs go perfectly and some go badly, and nobody can predict which in advance.
What to automate
Automated monitoring and alerting on the failure modes that matter, plus a logged incident record so patterns become visible. Most reliability problems are known to staff and invisible to management because nothing records them.
6.3

Consistency

Time7/10Financial9/10Automation7/10
What this is
Whether every customer gets the same standard regardless of who serves them or when.
Why it matters
Inconsistency is what stops a good business scaling. It is also the quality problem customers talk about most, because it feels like luck.
You have a problem here if
Customers ask for a specific staff member by name to be sure of the outcome.
What to automate
Checklists and templated workflows enforced in the system of record, with steps that cannot be skipped. Automation here does not replace the person — it makes the good version of the job the default one.
6.4

Quality standards

Time7/10Financial7/10Automation6/10
What this is
Defined, written standards for what "done properly" means.
Why it matters
Without a standard, quality is an opinion and cannot be trained, delegated or measured. This is the precondition for the owner stepping out of delivery.
You have a problem here if
Quality is judged by the owner reviewing work personally.
What to automate
Encode standards into the tools: required fields, sign-off gates, automated pre-delivery checks. Writing the standard is human work; enforcing it should never depend on human memory.
6.5

Defects/errors/rework

Time9/10Financial9/10Automation8/10
What this is
How often work has to be redone, corrected or apologised for, and what that costs.
Why it matters
The highest time-leverage line in this category and one of the highest in the framework. Rework is paid for twice and is almost always invisible in the accounts.
You have a problem here if
Nobody can tell you what percentage of jobs required rework last month.
What to automate
Log every defect and rework event as a matter of course, categorise automatically, and report weekly by cause. Pareto applies brutally here — a handful of causes usually explain most of the cost, and they are fixable once named.
6.6

Customer outcomes

Time5/10Financial8/10Automation7/10
What this is
Whether customers actually get the result they hired you for, measured after the fact.
Why it matters
Delivering the deliverable is not the same as delivering the outcome. Outcome data is what justifies premium pricing and produces the proof that sells the next deal.
You have a problem here if
You measure completion, not result.
What to automate
Automated post-delivery outcome check at a set interval, with the answers stored against the customer record. This feeds proof, retention and pricing simultaneously — one of the better returns on a small automation.
6.7

Service delivery standards

Time7/10Financial7/10Automation7/10
What this is
The defined service levels around the product: response times, delivery windows, communication commitments.
Why it matters
Most complaints are about service standards rather than product quality. They are also far cheaper to fix.
You have a problem here if
Response times vary by who is busy rather than by policy.
What to automate
Strong fit. SLA timers, automatic acknowledgements, escalation when a threshold is breached, and reporting on adherence. This is well-trodden ground and does not require anything exotic.
6.8

Product/service improvement

Time7/10Financial7/10Automation6/10
What this is
The mechanism by which the offer gets better over time.
Why it matters
Quality decays without deliberate improvement. A business with no improvement loop is relying on competitors also standing still.
You have a problem here if
The offer is materially the same as it was three years ago and no one decided that.
What to automate
Automate the input side — collect defect data, feedback themes and staff suggestions into one queue — and hold a standing review. The improvements themselves are human work; the backlog should maintain itself.
6.9

Offering roadmap

Time5/10Financial7/10Automation5/10
What this is
The planned sequence of changes and additions to what you sell.
Why it matters
A roadmap prevents both stagnation and the more common failure of adding offerings opportunistically until the business does too many things badly.
You have a problem here if
New services are added because a customer asked, not because they were chosen.
What to automate
Keep the roadmap in one place with demand evidence attached to each item, drawn automatically from lost-deal reasons and feature requests. Decide by hand, but decide with the evidence in view.

Category totals

Time 60/90 · Financial 71/90 · Automation 59/90. The sum is the official roll-up; the averages above exist so categories of different sizes can be compared.