Identifying the optimal Data Quality metrics can be challenging, especially when everyday tasks consume your time. To help you, we've assembled a list of examples to ignite your creativity.
Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.
Find Data Quality metrics with AI
While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.
The percentage of products or services that have defects relative to the total produced, often calculated by dividing the number of defective units by the total number of units produced.
What good looks like for this metric: Typically less than 1%
Ideas to improve this metric
Implement stricter quality control processes
Enhance staff training initiatives
Conduct regular audits and inspections
Utilise root cause analysis tools
Increase customer feedback collection
2. First Pass Yield (FPY)
The percentage of products manufactured correctly and to specification the first time through the process without using rework.
What good looks like for this metric: 85%-95%
Ideas to improve this metric
Improve process documentation
Increase equipment maintenance frequency
Optimise employee onboarding and training
Reduce process variability
Incorporate automated quality checks
3. Customer Complaint Rate
The number of customer complaints received over a specific period divided by the number of transactions within that period.
What good looks like for this metric: Less than 5 per 1,000 transactions
Ideas to improve this metric
Improve after-sales support
Analyse customer feedback for trends
Maintain open communication channels
Enhance product/service quality
Regularly revise protocols based on feedback
4. Audit Compliance Rate
The percentage of audits that pass compliance checks relative to the total number of audits conducted.
What good looks like for this metric: Above 95%
Ideas to improve this metric
Regularly update compliance training for staff
Automate compliance tracking
Engage third-party compliance experts
Conduct more frequent internal audits
Develop corrective action plans for identified issues
5. Corrective Action Effectiveness
Measures the success of implemented corrective actions, determined by the reduction in defects and issues post implementation.
What good looks like for this metric: Reduction in issues by at least 75%
Ideas to improve this metric
Utilise a robust change management process
Track and measure results of actions
Ensure clear communication of changes to all stakeholders
Having a plan is one thing, sticking to it is another.
Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.
A tool like Tability can also help you by combining AI and goal-setting to keep you on track.
Tability's check-ins will save you hours and increase transparency
The best metrics for Routine Staff Training