What are Quality Assurance Team metrics?
Finding the right Quality Assurance Team metrics can be daunting, especially when you're busy working on your day-to-day tasks. This is why we've curated a list of examples for your inspiration.
You can copy these examples into your preferred app, or alternatively, use Tability to stay accountable.
Find Quality Assurance Team 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.
Examples of Quality Assurance Team metrics and KPIs
Metrics for Quality Assurance in Finance
1. Defect Rate
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
- Perform regular follow-up checks
- Encourage continuous improvement culture
Metrics for Assessing software quality
1. defect density
Defect density measures the number of defects per unit of software size, usually per thousand lines of code (KLOC)
What good looks like for this metric: 1-5 defects per KLOC
Ideas to improve this metric- Improve code reviews
- Implement automated testing
- Enhance developer training
- Increase test coverage
- Use static code analysis
2. code coverage
Code coverage measures the percentage of code that is executed by automated tests
What good looks like for this metric: 70-80%
Ideas to improve this metric- Write more unit tests
- Implement integration testing
- Use better testing tools
- Collaborate closely with QA team
- Regularly refactor code for testability
3. mean time to resolve (MTTR)
MTTR measures the average time taken to resolve a defect once it has been identified
What good looks like for this metric: Less than 8 hours
Ideas to improve this metric- Streamline incident management process
- Automate triage tasks
- Improve defect prioritization
- Enhance developer expertise
- Implement rapid feedback loops
4. customer-reported defects
This metric counts the number of defects reported by end users or customers
What good looks like for this metric: Less than 1 defect per month
Ideas to improve this metric- Implement thorough user acceptance testing
- Conduct regular beta tests
- Enhance support and issue tracking
- Improve customer feedback channels
- Use user personas in development
5. code churn
Code churn measures the amount of code changes over a period of time, indicating stability and code quality
What good looks like for this metric: 10-20%
Ideas to improve this metric- Encourage smaller, iterative changes
- Implement continuous integration
- Use version control effectively
- Conduct regular code reviews
- Enhance change management processes
Metrics for Increase Fermentation Of Cacao
1. Fermentation Duration
This measures the time period for which cacao beans are fermented, typically calculated by the number of days the beans are kept at a controlled temperature and humidity.
What good looks like for this metric: 6 to 7 days
Ideas to improve this metric- Ensure an even distribution of heat during fermentation
- Monitor and control humidity levels diligently
- Turn the beans regularly to aerate
- Use a thermometer to achieve optimal temperature
- Adjust fermenting period based on observed results
2. Temperature Control
This measures the consistency of temperature maintained during cacao bean fermentation, which affects the flavour and quality of the final product.
What good looks like for this metric: 45°C to 50°C
Ideas to improve this metric- Install thermal insulators around the fermentation setup
- Use thermostatic controllers to maintain steady temperature
- Regularly check for hot spots inside the fermenting boxes
- Utilise temperature logs to detect anomalies
- Consider environmental impact on temperatures and adjust accordingly
3. pH Levels
Monitoring the acidity levels of fermenting beans helps in assessing proper fermentation, calculated by taking pH readings at intervals.
What good looks like for this metric: 4.5 to 5.5
Ideas to improve this metric- Use a reliable pH meter for accurate readings
- Sample beans from different sections of the fermentation mass
- Evaluate pH at regular intervals
- Adjust fermenting circumstances to reach desired pH
- Apply organic acids if necessary to modulate pH
4. Moisture Content
The proportion of water present in the fermenting beans, affecting final texture and processing requirements.
What good looks like for this metric: 53% to 60% during fermentation
Ideas to improve this metric- Weigh batch before and after fermentation to determine moisture loss
- Use moisture meters for precise measurements
- Adjust ventilation to control evaporation rate
- Add water incrementally if moisture drops too low
- Monitor climate conditions to understand moisture variation
5. Aeration Frequency
Frequency with which cacao beans are stirred or turned during fermentation to increase exposure to oxygen for consistent fermentation.
What good looks like for this metric: Every 48 hours
Ideas to improve this metric- Use mechanical turners for uniform aeration
- Implement a consistent aeration schedule
- Observe changes in aroma to gauge when turning is needed
- Document each aeration session for review
- Collaborate with fermented food experts
Metrics for Improving workflows and safety
1. Infection Rate Reduction
The measure of reduction in infection cases reported in the facility after renovations
What good looks like for this metric: A typical benchmark is a 20% reduction in infection rates
Ideas to improve this metric- Conduct regular infection audits
- Ensure proper sanitisation of equipment
- Implement staff training on infection control
- Enhance air filtration systems
- Utilise antimicrobial surfaces
2. Patient Safety Incident Count
Number of safety-related incidents reported per 1,000 patient days
What good looks like for this metric: Aim for fewer than 10 incidents per 1,000 patient days
Ideas to improve this metric- Standardise safety protocols
- Improve staff communication channels
- Introduce safety drills and training
- Enhance surveillance systems
- Regularly update safety guidelines
3. Workflow Efficiency Percentage
Percentage of processes completed within the expected time frame
What good looks like for this metric: Achieving at least 85% on-time process completion
Ideas to improve this metric- Optimise staffing schedules
- Implement workflow management software
- Regularly review and adjust processes
- Conduct time management training
- Utilise feedback to streamline operations
4. Patient Satisfaction Scores
Patients' average satisfaction rating post-renovation
What good looks like for this metric: A target of at least 90% satisfaction
Ideas to improve this metric- Enhance waiting area conditions
- Provide clear communication about changes
- Solicit frequent patient feedback
- Ensure staff are attentive and responsive
- Provide patient education on safety improvements
5. Staff Compliance Rate with Protocols
Percentage of staff compliance with updated infection control protocols
What good looks like for this metric: Aim for at least 95% compliance
Ideas to improve this metric- Incentivise adherence to protocols
- Conduct regular staff assessments
- Provide ongoing training sessions
- Utilise visual reminders and aids
- Implement a peer review system
Metrics for Tracking Quality of Code
1. Code Coverage
Measures the percentage of your code that is covered by automated tests
What good looks like for this metric: 70%-90%
Ideas to improve this metric- Increase unit tests
- Use code coverage tools
- Refactor complex code
- Implement test-driven development
- Conduct code reviews frequently
2. Code Complexity
Assesses the complexity of the code using metrics like Cyclomatic Complexity
What good looks like for this metric: 1-10 (Lower is better)
Ideas to improve this metric- Simplify conditional statements
- Refactor to smaller functions
- Reduce nested loops
- Use design patterns appropriately
- Perform regular code reviews
3. Technical Debt
Measures the cost of additional work caused by choosing easy solutions now instead of better approaches
What good looks like for this metric: Less than 5%
Ideas to improve this metric- Refactor code regularly
- Avoid quick fixes
- Ensure high-quality code reviews
- Update and follow coding standards
- Use static code analysis tools
4. Defect Density
Calculates the number of defects per 1000 lines of code
What good looks like for this metric: Less than 1 defect/KLOC
Ideas to improve this metric- Implement thorough testing
- Increase peer code reviews
- Enhance developer training
- Use static analysis tools
- Adopt continuous integration
5. Code Churn
Measures the amount of code that is added, modified, or deleted over time
What good looks like for this metric: 10-20%
Ideas to improve this metric- Stabilise project requirements
- Improve initial code quality
- Adopt pair programming
- Reduce unnecessary refactoring
- Enhance documentation
Metrics for Backend Developer Performance
1. Code Quality
Measures the frequency and severity of bugs detected in the codebase.
What good looks like for this metric: Less than 10 bugs per 1000 lines of code
Ideas to improve this metric- Implement regular code reviews
- Use static code analysis tools
- Provide training on best coding practices
- Encourage test-driven development
- Adopt a peer programming strategy
2. Deployment Frequency
Tracks how often code changes are successfully deployed to production.
What good looks like for this metric: Deploy at least once a day
Ideas to improve this metric- Automate the deployment pipeline
- Reduce bottlenecks in the process
- Regularly publish small, manageable changes
- Incentivise swift yet comprehensive testing
- Improve team communication and collaboration
3. Mean Time to Recovery (MTTR)
Measures the average time taken to recover from a service failure.
What good looks like for this metric: Less than 1 hour
Ideas to improve this metric- Develop a robust incident response plan
- Streamline rollback and recovery processes
- Use monitoring tools to detect issues early
- Conduct post-mortems and learn from failures
- Enhance system redundancy and fault tolerance
4. Test Coverage
Represents the percentage of code which is tested by automated tests.
What good looks like for this metric: 70% to 90%
Ideas to improve this metric- Implement continuous integration with testing
- Educate developers on writing effective tests
- Regularly update and refactor out-of-date tests
- Encourage a culture of writing tests
- Utilise behaviour-driven development techniques
5. API Response Time
Measures the time taken for an API to respond to a request.
What good looks like for this metric: Less than 200ms
Ideas to improve this metric- Optimize database queries
- Utilise caching effectively
- Reduce payload size
- Use load balancing techniques
- Profile and identify performance bottlenecks
Metrics for Effective Delivery for Waterfall Team
1. On-Time Delivery Rate
The percentage of projects delivered on or before their scheduled deadlines
What good looks like for this metric: 85-90%
Ideas to improve this metric- Set realistic deadlines based on project complexity
- Utilise Gantt charts for better timeline management
- Track progress regularly against the schedule
- Engage in proactive risk management
- Ensure resource availability and skill alignment
2. Budget Adherence
The percentage of projects completed within the allocated budget
What good looks like for this metric: 85-95%
Ideas to improve this metric- Conduct thorough cost estimation
- Monitor expenses in real-time
- Implement change control procedures
- Secure contingency funds for unforeseen costs
- Regularly review budget utilisation
3. Scope Creep
The amount of unplanned work and changes in scope that occur during the project lifecycle
What good looks like for this metric: Less than 10%
Ideas to improve this metric- Define clear project scope documentation
- Establish a formal change request process
- Engage stakeholders early and often
- Track scope changes meticulously
- Utilise scope management tools
4. Client Satisfaction
The level of client satisfaction measured through surveys and feedback, typically scored on a scale of 1-5
What good looks like for this metric: 4.0 or higher
Ideas to improve this metric- Conduct regular client check-ins
- Act on feedback promptly
- Set realistic client expectations from the start
- Maintain transparent communication
- Deliver all promised features and functionalities
5. Defect Density
The number of defects found per unit of product, often measured per 1,000 lines of code
What good looks like for this metric: Less than 5 defects per 1,000 lines of code
Ideas to improve this metric- Implement thorough testing phases
- Conduct code reviews regularly
- Utilise automated testing tools
- Provide adequate training for developers
- Establish clear coding standards
Metrics for Quality and Reliability
1. Defect Density
Measures the number of defects per unit size of the software, usually per thousand lines of code
What good looks like for this metric: 1-10 defects per KLOC
Ideas to improve this metric- Implement code reviews
- Increase automated testing
- Enhance developer training
- Use static code analysis tools
- Adopt Test-Driven Development (TDD)
2. Mean Time to Failure (MTTF)
Measures the average time between failures for a system or component during operation
What good looks like for this metric: Varies widely by industry and system type, generally higher is better
Ideas to improve this metric- Conduct regular maintenance routines
- Implement rigorous testing cycles
- Enhance monitoring and alerting systems
- Utilise redundancy and failover mechanisms
- Improve codebase documentation
3. Customer-Reported Incidents
Counts the number of issues or bugs reported by customers within a given period
What good looks like for this metric: Varies depending on product and customer base, generally lower is better
Ideas to improve this metric- Engage in proactive customer support
- Release regular updates and patches
- Conduct user feedback sessions
- Improve user documentation
- Monitor and analyse incident trends
4. Code Coverage
Indicates the percentage of the source code covered by automated tests
What good looks like for this metric: 70-90% code coverage
Ideas to improve this metric- Increase unit testing
- Use automated testing tools
- Adopt continuous integration practices
- Refactor legacy code
- Integrate end-to-end testing
5. Release Frequency
Measures how often new releases are deployed to production
What good looks like for this metric: Depends on product and development cycle; frequently updated software is often more reliable
Ideas to improve this metric- Adopt continuous delivery
- Automate deployment processes
- Improve release planning
- Reduce deployment complexity
- Engage in regular sprint retrospectives
Metrics for Feature Completeness
1. Feature Completion Rate
The percentage of features fully implemented and functional compared to the initial plan
What good looks like for this metric: 80% to 100% during development cycle
Ideas to improve this metric- Improve project management processes
- Ensure clear feature specifications
- Allocate adequate resources
- Conduct regular progress reviews
- Increase team collaboration
2. Planned vs. Actual Features
The ratio of features planned to features actually completed
What good looks like for this metric: Equal or close to 1:1
Ideas to improve this metric- Create realistic project plans
- Regularly update feature lists
- Adjust deadlines as needed
- Align teams on priorities
- Open channels for feedback
3. Feature Review Score
Average score from review sessions that evaluate feature completion and quality
What good looks like for this metric: Scores above 8 out of 10
Ideas to improve this metric- Provide detailed review criteria
- Use peer review strategies
- Incorporate customer feedback
- Holistic testing methodologies
- Re-evaluate low scoring features
4. Feature Dependency Resolution Time
Average time taken to resolve issues linked to feature dependencies
What good looks like for this metric: Resolution time within 2 weeks
Ideas to improve this metric- Map feature dependencies early
- Optimize dependency workflow
- Increase team communication
- Utilise dependency management tools
- Prioritize complex dependencies
5. Change Request Frequency
Number of changes requested post-initial feature specification
What good looks like for this metric: Less than 10% of total features
Ideas to improve this metric- Ensure initial feature clarity
- Involve stakeholders early on
- Implement change control processes
- Clarify project scope
- Encourage proactive team discussions
Metrics for Frontend Development Skill Assessment
1. Code Quality
Assesses the readability, structure, and efficiency of the written code in HTML, CSS, and JavaScript
What good looks like for this metric: Clean, well-commented code with no linting errors
Ideas to improve this metric- Utilise code linters and formatters
- Adopt a consistent coding style
- Refactor code regularly
- Practise writing clear comments
- Review code with peers
2. Page Load Time
Measures the time it takes for a webpage to fully load in a browser
What good looks like for this metric: Less than 3 seconds
Ideas to improve this metric- Minimise HTTP requests
- Optimise image sizes
- Use CSS and JS minification
- Leverage browser caching
- Use content delivery networks
3. Responsive Design
Evaluates how well a website adapts to different screen sizes and devices
What good looks like for this metric: Seamless functionality across all devices
Ideas to improve this metric- Use relative units like percentages
- Implement CSS media queries
- Test designs on multiple devices
- Adopt a mobile-first approach
- Utilise frameworks like Bootstrap
4. Cross-browser Compatibility
Ensures a website functions correctly across different web browsers
What good looks like for this metric: Consistent experience on all major browsers
Ideas to improve this metric- Test site on all major browsers
- Use browser-specific prefixes
- Avoid deprecated features
- Employ browser compatibility tools
- Regularly update code for latest standards
5. User Experience (UX)
Measures how user-friendly and intuitive the interface is for users
What good looks like for this metric: High user satisfaction and easy navigation
Ideas to improve this metric- Simplify navigation structures
- Ensure consistent design patterns
- Conduct user testing regularly
- Gather and implement user feedback
- Improve the accessibility of designs
Metrics for Handling Log Files
1. Throughput
Measures the number of log files processed per minute to ensure the service meets the 40k requirement
What good looks like for this metric: 40,000 log files per minute
Ideas to improve this metric- Optimize log processing algorithms
- Upgrade server hardware
- Use a load balancer to distribute requests
- Implement batch processing for logs
- Minimize unnecessary logging
2. Latency
Measures the time it takes to process each log file from receipt to completion
What good looks like for this metric: Less than 100 milliseconds
Ideas to improve this metric- Streamline data pathways
- Prioritise real-time log processing
- Identify and remove processing bottlenecks
- Utilise caching mechanisms
- Optimize database queries
3. Error Rate
Tracks the percentage of log files that are not processed correctly
What good looks like for this metric: Less than 1%
Ideas to improve this metric- Implement robust error handling mechanisms
- Conduct regular integration tests
- Utilise validation before processing logs
- Enhance logging system for transparency
- Review and improve exception handling
4. Resource Utilisation
Measures the use of CPU, memory, and network to ensure efficient handling of logs
What good looks like for this metric: Below 80% for CPU and memory utilisation
Ideas to improve this metric- Optimize code for better performance
- Implement vertical or horizontal scaling
- Regularly monitor and adjust resource allocation
- Use lightweight libraries or frameworks
- Run performance diagnostics regularly
5. System Uptime
Tracks the percentage of time the system is operational and able to handle log files
What good looks like for this metric: 99.9% uptime
Ideas to improve this metric- Implement redundancies in infrastructure
- Schedule regular maintenance
- Monitor system health continuously
- Use reliable cloud services
- Establish quick recovery protocols
Metrics for Project success
1. On-time delivery
Percentage of project milestones completed on schedule
What good looks like for this metric: 85-95%
Ideas to improve this metric- Create realistic timelines
- Use project management tools
- Monitor progress regularly
- Identify and mitigate risks
- Communicate effectively with the team
2. Budget adherence
Percentage of project milestones completed within the allocated budget
What good looks like for this metric: 90-100%
Ideas to improve this metric- Develop a detailed budget plan
- Monitor expenses regularly
- Utilise cost management software
- Negotiate better rates with vendors
- Implement a cost control strategy
3. Scope compliance
Percentage of project deliverables that meet the defined scope
What good looks like for this metric: 90-100%
Ideas to improve this metric- Clearly define project scope
- Use change control processes
- Regularly review project requirements
- Engage stakeholders throughout the project
- Maintain detailed documentation
4. Stakeholder satisfaction
Average satisfaction rating from project stakeholders
What good looks like for this metric: 4-5 out of 5
Ideas to improve this metric- Conduct regular feedback sessions
- Address stakeholder concerns promptly
- Maintain transparent communication
- Set realistic expectations
- Deliver high-quality work
5. Quality of deliverables
Percentage of project deliverables that meet quality standards
What good looks like for this metric: 95-100%
Ideas to improve this metric- Implement quality assurance processes
- Use regular testing and reviews
- Set clear quality criteria
- Provide adequate training
- Encourage continuous improvement
Metrics for Establish design standards
1. Compliance Rate
The percentage of projects adhering to established design standards and governance.
What good looks like for this metric: 80-90%
Ideas to improve this metric- Conduct regular design audits
- Educate teams on standards
- Integrate standards into project workflows
- Implement a feedback loop for continuous improvement
- Assign dedicated roles for compliance monitoring
2. Standard Adoption Rate
The percentage of teams or individuals adopting new design standards.
What good looks like for this metric: 70-85%
Ideas to improve this metric- Facilitate workshops and trainings
- Utilize champions to promote standards
- Provide clear documentation and resources
- Reward and recognise adoption efforts
- Gather and act on user feedback
3. Time to Implement Standards
The average time it takes for teams to implement design standards in projects.
What good looks like for this metric: 2-4 weeks
Ideas to improve this metric- Simplify standards for easy understanding
- Create templates and guides
- Offer implementation support
- Use pilot projects to refine processes
- Ensure leadership buy-in for expedited adoption
4. Stakeholder Satisfaction
The level of satisfaction among stakeholders with the design standards and governance.
What good looks like for this metric: 75-85%
Ideas to improve this metric- Conduct regular satisfaction surveys
- Address concerns promptly
- Engage stakeholders in the development process
- Communicate benefits clearly
- Showcase success stories
5. Reduction in Design Errors
The decrease in design errors or deviations due to the implementation of standards.
What good looks like for this metric: 30-50%
Ideas to improve this metric- Implement a thorough review process
- Analyse common error patterns
- Enhance training based on error analysis
- Utilise automated tools for compliance
- Encourage peer reviews and collaborations
Metrics for Effective Delivery for Waterfall Team
1. Planned vs Actual Delivery Dates
This metric compares the initially planned delivery dates to the actual delivery dates to assess the team's ability to meet deadlines
What good looks like for this metric: 80% of projects delivered on time
Ideas to improve this metric- Conduct detailed planning sessions
- Implement regular progress reviews
- Improve risk management practices
- Enhance communication within the team
- Optimise resource allocation
2. Scope Creep
Measures the changes and additions in the project scope after the project has commenced, indicating how often the team deviates from the original plan
What good looks like for this metric: Less than 5% increase in scope
Ideas to improve this metric- Establish clear project requirements
- Implement strict change control processes
- Engage stakeholders early and often
- Document all changes meticulously
- Maintain a project scope baseline
3. Budget Variance
This metric tracks the difference between the budgeted costs and the actual costs incurred, indicating financial planning accuracy
What good looks like for this metric: Less than 10% budget overrun
Ideas to improve this metric- Conduct thorough budget forecasting
- Monitor expenditures closely
- Implement cost control measures
- Review financial reports regularly
- Optimise purchasing processes
4. Defect Density
Measures the number of defects identified within a certain timeframe or phase of the project, reflecting product quality
What good looks like for this metric: Fewer than 1 defect per 1000 lines of code
Ideas to improve this metric- Enhance testing processes
- Implement automated testing tools
- Provide training on quality standards
- Review code regularly
- Incorporate quality assurance in each phase
5. Customer Satisfaction
Assesses the stakeholders' and customers' satisfaction with the delivered project through surveys and feedback mechanisms
What good looks like for this metric: Customer satisfaction score above 8 out of 10
Ideas to improve this metric- Gather customer feedback regularly
- Act on the feedback received
- Improve stakeholder communication
- Deliver regular project updates
- Ensure project deliverables meet expectations
Metrics for Software Feature Completeness
1. Feature Implementation Ratio
The ratio of implemented features to planned features.
What good looks like for this metric: 80-90%
Ideas to improve this metric- Prioritise features based on user impact
- Allocate dedicated resources for feature development
- Conduct regular progress reviews
- Utilise agile methodologies for iteration
- Ensure clear feature specifications
2. User Acceptance Test Pass Rate
Percentage of features passing user acceptance testing.
What good looks like for this metric: 95%+
Ideas to improve this metric- Enhance test case design
- Involve users early in the testing process
- Provide comprehensive user training
- Utilise automated testing tools
- Identify and fix defects promptly
3. Bug Resolution Time
Average time taken to resolve bugs during feature development.
What good looks like for this metric: 24-48 hours
Ideas to improve this metric- Implement a robust issue tracking system
- Prioritise critical bugs
- Conduct regular team stand-ups
- Improve cross-functional collaboration
- Establish a swift feedback loop
4. Code Quality Index
Assessment of code quality using a standard index or score.
What good looks like for this metric: 75-85%
Ideas to improve this metric- Conduct regular code reviews
- Utilise static code analysis tools
- Refactor code periodically
- Strictly adhere to coding standards
- Invest in developer training
5. Feature Usage Frequency
Frequency at which newly implemented features are used.
What good looks like for this metric: 70%+ usage of released features
Ideas to improve this metric- Enhance user interface design
- Provide user guides or tutorials
- Gather user feedback on new features
- Offer feature usage incentives
- Regularly monitor usage statistics
Tracking your Quality Assurance Team metrics
Having a plan is one thing, sticking to it is another.
Having a good strategy is only half the effort. You'll increase significantly your chances of success if you commit to a weekly check-in process.
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 transparencyMore metrics recently published
We have more examples to help you below.
The best metrics for Routine Staff Training- The best metrics for Data Uptime Measurement
- The best metrics for Increasing Revenue and Users
- The best metrics for Attract 4 Retainer Clients
- The best metrics for Performance Management
- The best metrics for Empowering Innovation and Service Delivery
Planning resources
OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:
- To learn: What are OKRs? The complete 2024 guide
- Blog posts: ODT Blog
- Success metrics: KPIs examples