What are Development Team metrics?
Crafting the perfect Development Team metrics can feel overwhelming, particularly when you're juggling daily responsibilities. That's why we've put together a collection of examples to spark your inspiration.
Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.
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Examples of Development Team metrics and KPIs
Metrics for Cultivate Strategic Agility
1. Time to Market
The time it takes for the bank to develop a new product or service and introduce it to the market
What good looks like for this metric: 3-6 months
Ideas to improve this metric- Streamline development processes
- Enhance team collaboration
- Implement agile methodologies
- Invest in predictive analytics
- Reduce approval bottlenecks
2. Customer Feedback Cycle Time
The time it takes to gather customer feedback and make adjustments based on it
What good looks like for this metric: 2-4 weeks
Ideas to improve this metric- Utilise real-time feedback tools
- Empower frontline employees
- Shorten decision-making processes
- Increase frequency of customer surveys
- Adopt customer-centric technologies
3. Employee Adaptability Rating
The ability of employees to adapt to new processes, tools, and approaches
What good looks like for this metric: 8/10
Ideas to improve this metric- Provide ongoing training programs
- Offer incentives for skill development
- Encourage a growth mindset culture
- Implement job rotation programs
- Foster open communication channels
4. Change Management Success Rate
The percentage of successful changes implemented in processes, systems, or services
What good looks like for this metric: 80%
Ideas to improve this metric- Follow structured change management frameworks
- Increase stakeholder engagement
- Conduct regular impact assessments
- Enhance communication during change initiatives
- Utilise feedback from previous change efforts
5. Innovation Index
A measure of the bank's innovation output, including the number of new initiatives or product offerings
What good looks like for this metric: 10-15 initiatives per year
Ideas to improve this metric- Encourage cross-departmental brainstorming
- Allocate dedicated resources for innovation
- Foster a culture of experimentation
- Implement an ideas management platform
- Regularly review and adapt innovation goals
Metrics for Employee Increment Program
1. Job Performance Rating
An evaluation of the employee's job performance based on specific role-related goals and objectives
What good looks like for this metric: Typically ranges from 1 to 5, with 3 being average
Ideas to improve this metric- Provide clear and concise performance goals
- Offer regular feedback and coaching
- Implement peer review systems
- Conduct regular performance appraisals
- Utilise performance management software
2. Skill Development
Measures progress in acquiring job-related skills through training and development efforts
What good looks like for this metric: 75% of employees show improvement annually
Ideas to improve this metric- Encourage enrolment in training programmes
- Promote cross-departmental projects
- Offer mentorship opportunities
- Align skill development with career goals
- Regularly update learning materials
3. Peer Feedback Scores
Scores from colleagues reflecting teamwork, collaboration, and interpersonal skills
What good looks like for this metric: Average scores range from 3 to 4 out of 5
Ideas to improve this metric- Foster an open feedback culture
- Conduct team-building activities
- Facilitate workshops on communication skills
- Implement a 360-degree feedback system
- Regularly seek verbal feedback in meetings
4. Achievement of Increment Criteria
Assessment of whether employees meet predefined criteria for increments related to performance, learning, or company values
What good looks like for this metric: 60% of employees qualify for increment criteria annually
Ideas to improve this metric- Clearly define the criteria in documentation
- Communicate criteria regularly during reviews
- Provide examples of how criteria can be met
- Offer support for employees lagging behind
- Regularly review and update criteria
5. Employee Satisfaction with Feedback
Level of employee satisfaction with the feedback received about performance evaluations and increments
What good looks like for this metric: Benchmark satisfaction score of 4 out of 5
Ideas to improve this metric- Implement anonymous feedback surveys
- Offer constructive and balanced feedback
- Train managers in delivering feedback
- Hold feedback sessions to gather input
- Create an action plan based on feedback
Metrics for Software Developer Leadership KPIs
1. Team Velocity
Measures the amount of work completed by a team during a sprint or iteration
What good looks like for this metric: Typically varies based on team size and complexity of tasks
Ideas to improve this metric- Improve task estimation accuracy
- Use consistent metrics over time
- Remove bottlenecks in the process
- Enhance collaboration within the team
- Provide adequate resources and support
2. Code Quality
Assesses the quality of code based on factors like complexity, maintainability, and bug count
What good looks like for this metric: Low defect rate and maintainable code structure
Ideas to improve this metric- Implement code review practices
- Use automated testing tools
- Adopt coding standards
- Conduct regular code refactoring
- Encourage continuous learning and training
3. Lead Time
The time taken from task assignment to its completion
What good looks like for this metric: Typically between 1-2 weeks for small to medium tasks
Ideas to improve this metric- Prioritize tasks effectively
- Minimize task switching
- Improve process efficiency
- Streamline communication channels
- Utilize efficient project management tools
4. Employee Satisfaction
Measures team members’ contentment and engagement at work
What good looks like for this metric: Aiming for a high satisfaction score on surveys
Ideas to improve this metric- Regularly solicit feedback
- Provide career development opportunities
- Foster a positive work environment
- Offer competitive compensation and benefits
- Recognize and reward good performance
5. Sprint Goal Success Rate
Percentage of sprints where the team achieves the sprint goal
What good looks like for this metric: 80-90% sprint goal success rate
Ideas to improve this metric- Set clear and realistic goals
- Ensure goals align with broader objectives
- Assess and address risks proactively
- Enhance team focus on sprint objectives
- Track progress regularly during sprints
Metrics for Agile leadership metrics
1. Team Velocity
Measures the amount of work a team completes during a sprint, calculated by the total story points completed
What good looks like for this metric: 20-40 story points per sprint
Ideas to improve this metric- Streamline workflows
- Refine sprint planning
- Enhance team collaboration
- Invest in skill development
- Use consistent estimation techniques
2. Sprint Burndown
Tracks the completion of work throughout the sprint, showing remaining tasks vs. time
What good looks like for this metric: Consistent downward trend with minimal or no backlog at sprint end
Ideas to improve this metric- Daily stand-ups to identify blockers
- Encourage realistic task estimates
- Prioritise critical tasks early
- Use burn-down charts for visibility
- Improve task segmentation
3. Cycle Time
The total time it takes from starting a work item to its completion
What good looks like for this metric: 1-2 days for small tasks, up to 1-2 weeks for larger tasks
Ideas to improve this metric- Minimize work-in-progress limits
- Enhance automated testing
- Implement continuous integration
- Use Kanban to visualise workflow
- Regularly review cycle times
4. Lead Time
The total time from when a customer request is made to when it is fulfilled
What good looks like for this metric: Varies based on complexity, aim for a reduction over time
Ideas to improve this metric- Prioritise tasks based on customer value
- Optimise backlog grooming
- Reduce bottlenecks
- Increase cross-functional team collaboration
- Regularly analyse and adjust processes
5. Customer Satisfaction (NPS)
Measures customer satisfaction and loyalty through surveys or Net Promoter Score (NPS)
What good looks like for this metric: NPS score of 50-70
Ideas to improve this metric- Increase customer feedback channels
- Actively respond to customer issues
- Continually improve product features
- Regularly review customer feedback
- Train team on customer service excellence
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 Mobile App Engagement
1. Daily Active Users (DAU)
The number of unique users who engage with the app daily
What good looks like for this metric: 20% of total installs
Ideas to improve this metric- Send push notifications to re-engage users
- Introduce daily challenges or content
- Optimise user onboarding process
- Incorporate in-app social elements
- Provide real-time customer support
2. Session Length
The average time a user spends in an app per session
What good looks like for this metric: 4-6 minutes per session
Ideas to improve this metric- Improve app speed and performance
- Offer engaging and diverse content
- Personalise the user experience
- Integrate gamification elements
- Streamline user interface and navigation
3. Retention Rate
The percentage of users who continue to use the app over a given period
What good looks like for this metric: 30% after 30 days
Ideas to improve this metric- Send personalised re-engagement emails
- Regularly update app content and features
- Offer loyalty rewards or incentives
- Create tutorial and help sections
- Gather and act on user feedback
4. Churn Rate
The percentage of users who stop using the app over a given period
What good looks like for this metric: Under 5% monthly
Ideas to improve this metric- Analyse and address user pain points
- Offer in-app customer support
- Regularly update and improve the app
- Provide special promotions for returning users
- Monitor and enhance app performance
5. In-App Purchases (IAP) Revenue
Revenue generated from purchases made within the app
What good looks like for this metric: $1-2 per user per month
Ideas to improve this metric- Offer exclusive in-app content
- Create bundled in-app purchase offers
- Run limited-time in-app promotions
- Provide an easy and secure purchase process
- Track and analyse purchase behaviour
Metrics for Code Security
1. Vulnerability Density
Measures the number of vulnerabilities per thousand lines of code. It helps to identify vulnerable areas in the codebase that need attention.
What good looks like for this metric: 0-1 vulnerabilities per KLOC
Ideas to improve this metric- Conduct regular code reviews
- Use static analysis tools
- Implement secure coding practices
- Provide security training for developers
- Perform security-focused testing
2. Mean Time to Resolve Vulnerabilities (MTTR)
The average time it takes to resolve vulnerabilities from the time they are identified.
What good looks like for this metric: Less than 30 days
Ideas to improve this metric- Prioritise vulnerabilities based on severity
- Automate vulnerability management processes
- Allocate dedicated resources for vulnerability remediation
- Establish a clear vulnerability response process
- Regularly monitor and report on MTTR
3. Percentage of Code Covered by Security Testing
The proportion of the codebase that is covered by security tests, helping to ensure code is thoroughly tested for vulnerabilities.
What good looks like for this metric: 90% or higher
Ideas to improve this metric- Increase the frequency of security tests
- Use automated security testing tools
- Integrate security tests into the CI/CD pipeline
- Regularly update and expand test cases
- Provide training on writing effective security tests
4. Number of Security Incidents
The total count of security incidents, including breaches, detected within a given period.
What good looks like for this metric: Zero incidents
Ideas to improve this metric- Implement continuous monitoring
- Conduct regular penetration testing
- Deploy intrusion detection systems
- Educate employees on security best practices
- Establish a strong incident response plan
5. False Positive Rate of Security Tools
The percentage of security alerts that are not true threats, which can lead to resource wastage and alert fatigue.
What good looks like for this metric: Less than 5%
Ideas to improve this metric- Regularly update security tool configurations
- Train security teams to properly interpret alerts
- Use machine learning to improve tool accuracy
- Combine multiple security tools for better context
- Implement regular reviews of alerts to refine rules
Metrics for Sales and CSAT Targets
1. Sales Revenue
Total income generated from sales of courses, measured in USD
What good looks like for this metric: $50,000 per month
Ideas to improve this metric- Enhance course offerings
- Run targeted advertising campaigns
- Offer early-bird discounts
- Upsell related courses
- Optimise pricing strategy
2. Customer Satisfaction Score (CSAT)
Measures the level of satisfaction of customers, usually rated on a scale of 1-5
What good looks like for this metric: 4.0 out of 5
Ideas to improve this metric- Provide excellent customer support
- Gather and act on customer feedback
- Offer personalised learning paths
- Improve user interface and experience
- Ensure course content is high quality
3. Learner Engagement Rate
Percentage of learners actively participating in the course, calculated by dividing active participants by total enrolled
What good looks like for this metric: 60%
Ideas to improve this metric- Introduce interactive elements
- Provide regular updates and new content
- Encourage group discussions
- Use gamification techniques
- Send regular reminders and follow-ups
4. Course Completion Rate
Percentage of learners who complete the course, calculated by dividing the number of completions by the total number enrolled
What good looks like for this metric: 70%
Ideas to improve this metric- Design shorter, more manageable modules
- Set clear expectations and goals
- Offer incentives for completion
- Provide support resources
- Implement progress tracking
5. Knowledge Retention Rate
Measures how much information learners retain over time, assessed through follow-up tests
What good looks like for this metric: 75%
Ideas to improve this metric- Use varied teaching methods
- Incorporate spaced repetition
- Provide summary notes
- Offer periodic refreshers
- Encourage practical application of knowledge
Metrics for User Satisfaction Improvement
1. Customer Satisfaction Score (CSAT)
Measures customer happiness with a product or service, usually on a scale of 1-5.
What good looks like for this metric: 80-85%
Ideas to improve this metric- Gather customer feedback regularly
- Address complaints promptly
- Enhance product features based on user feedback
- Train customer support staff adequately
- Implement a loyalty program
2. Net Promoter Score (NPS)
Assesses customer loyalty by asking them to rate the likelihood of recommending the product to others on a scale of 0-10.
What good looks like for this metric: 30-50
Ideas to improve this metric- Cultivate strong customer relationships
- Resolve issues swiftly and efficiently
- Encourage customers to share testimonials
- Offer incentives for referrals
- Improve the overall customer experience
3. Customer Effort Score (CES)
Evaluates the ease of service usage by asking customers to rate their effort level in completing a task.
What good looks like for this metric: 5 or lower
Ideas to improve this metric- Simplify processes
- Improve website usability
- Enhance user interface design
- Provide clear instructions and guidance
- Reduce waiting times in service
4. Churn Rate
Indicates the percentage of customers who stop using a product or service within a particular time frame.
What good looks like for this metric: 5-7%
Ideas to improve this metric- Identify reasons causing customer churn
- Enhance customer retention strategies
- Offer personalised experiences
- Develop an attentive onboarding process
- Continuously engage with customers
5. Customer Lifetime Value (CLV)
A prediction of the net profit attributed to the entire future relationship with a customer.
What good looks like for this metric: 3 times the acquisition cost
Ideas to improve this metric- Increase customer satisfaction initiatives
- Track customer purchasing patterns
- Improve customer segmentation
- Enhance cross-selling initiatives
- Increase quality of customer support
Metrics for Coverage and Pricing Strategy
1. Coverage Area Percentage
The proportion of geographic areas covered by a product or service compared to the total available areas nationwide
What good looks like for this metric: 80% coverage is typical for national brands
Ideas to improve this metric- Expand coverage to underserved areas
- Collaborate with local distributors
- Invest in infrastructure enhancements
- Analyse competitor coverage
- Leverage digital platforms for broader reach
2. Average Pricing
The typical price of a product or service across different regions, considering regional economic differences
What good looks like for this metric: Maintain within 10% of the industry average
Ideas to improve this metric- Conduct market research to determine optimal pricing
- Adjust pricing based on regional demand
- Implement dynamic pricing strategies
- Offer value-added services to justify price points
- Monitor competitor pricing regularly
3. Customer Satisfaction Index
A measure of how satisfied customers are with the coverage and pricing of a product or service
What good looks like for this metric: Aim for a satisfaction score of 80 or above
Ideas to improve this metric- Improve customer support services
- Gather regular feedback for product improvement
- Ensure pricing transparency
- Enhance user experience across all touchpoints
- Personalise customer interactions
4. Market Penetration Rate
The percentage of the target market that has purchased a product nationwide
What good looks like for this metric: 25% penetration is a common benchmark for established products
Ideas to improve this metric- Increase marketing efforts in low-penetration areas
- Run promotional campaigns to boost adoption
- Expand product offerings to meet diverse needs
- Utilise online platforms for wider reach
- Enhance brand visibility through partnerships
5. Revenue Growth Rate
The annualised percentage increase in revenue attributed to improved coverage and pricing strategies
What good looks like for this metric: 5-10% annual growth is generally considered healthy
Ideas to improve this metric- Optimise pricing for higher value offerings
- Enhance sales channels to boost revenue
- Introduce new products to capture more market share
- Expand into new geographic markets
- Improve customer retention strategies
Metrics for Device Usage Analysis
1. Data Processing Throughput
Measures the amount of data processed successfully within a given time frame, typically in gigabytes per second (GB/s)
What good looks like for this metric: Varies by system but often >1 GB/s for high-performing systems
Ideas to improve this metric- Increase hardware capabilities
- Optimise software algorithms
- Implement data compression techniques
- Use parallel processing
- Upgrade network infrastructure
2. Latency
Time taken from input to desired data processing action, measured in milliseconds (ms)
What good looks like for this metric: <100 ms for high-performing systems
Ideas to improve this metric- Enhance server response time
- Minimise data travel distance
- Optimise application code
- Utilise content delivery networks
- Implement load balancers
3. Error Rate
Percentage of errors during data processing compared to total operations, measured as a %
What good looks like for this metric: <5% for acceptable performance
Ideas to improve this metric- Implement error-handling codes
- Train systems with more robust datasets
- Regularly update software
- Conduct thorough system testing
- Improve data input validity checks
4. Disk I/O Rate
Measures read and write operations per second on storage devices, expressed in IOPS (input/output operations per second)
What good looks like for this metric: >10,000 IOPS for SSDs, lower for HDDs
Ideas to improve this metric- Upgrade to faster storage solutions
- Redistribute data loads
- Increase cache sizes
- Use faster file systems
- Optimise database queries
5. Resource Utilisation
Percentage of CPU, memory, and network bandwidth being used, expressed as a %
What good looks like for this metric: 75-85% for efficient resource use
Ideas to improve this metric- Perform regular system monitoring
- Distribute workloads more evenly
- Implement scalable cloud solutions
- Prioritise critical processes
- Utilise virtualisation
Metrics for Performance of UX Designer
1. Usability Test Success Rate
The percentage of tasks successfully completed by users during usability testing
What good looks like for this metric: 80-90% success rate
Ideas to improve this metric- Conduct more user interviews
- Improve task clarity
- Ensure intuitive navigation
- Simplify user interactions
- Enhance feedback mechanisms
2. Time on Task
The average time a user takes to complete a specific task during testing
What good looks like for this metric: 2-5 minutes per task
Ideas to improve this metric- Streamline user flows
- Minimize unnecessary steps
- Use clear, concise instructions
- Reduce input fields
- Enhance system responsiveness
3. Error Rate
The average number of errors users encounter while performing tasks during testing
What good looks like for this metric: Less than 5% error rate
Ideas to improve this metric- Improve error messaging
- Test for common user mistakes
- Simplify complex interactions
- Increase user guidance
- Utilize clear affordances
4. User Satisfaction Score
Numerical rating given by users based on their satisfaction with the interface
What good looks like for this metric: 7 or higher on a 10-point scale
Ideas to improve this metric- Incorporate user feedback
- Create an aesthetically pleasing design
- Reduce cognitive load
- Increase accessibility options
- Ensure consistent design elements
5. Prototype Iteration Count
The number of iterations a prototype undergoes before reaching a final design
What good looks like for this metric: 3-5 iterations
Ideas to improve this metric- Gather diverse feedback early
- Prioritise the most critical design issues
- Utilise rapid prototyping tools
- Test with varied user groups
- Focus on one major change per iteration
Metrics for Launching a New Product
1. Customer Acquisition Rate
Measures the number of new customers acquired within a specific period after the product launch, typically calculated as the percentage of new customers relative to total target audience
What good looks like for this metric: 20-30%
Ideas to improve this metric- Increase marketing efforts
- Offer promotions or discounts
- Enhance online presence
- Use influencer partnerships
- Optimise your sales funnel
2. Customer Retention Rate
Indicates the percentage of customers who continue to purchase your product after initial acquisition, calculated by dividing the number of repeat customers by the total number of customers
What good looks like for this metric: 40-60%
Ideas to improve this metric- Improve customer service
- Introduce a loyalty programme
- Regularly update the product
- Solicit customer feedback
- Follow up with customers
3. Revenue Growth Rate
Tracks the increase in revenue generated by the new product over a set period, usually expressed as a percentage
What good looks like for this metric: 10-25%
Ideas to improve this metric- Upsell and cross-sell
- Expand into new markets
- Increase marketing investment
- Optimise pricing strategies
- Refine product features based on feedback
4. Market Penetration
Measures the extent to which the new product is being adopted in the target market, calculated by the percentage of target market users purchasing the product
What good looks like for this metric: 5-15%
Ideas to improve this metric- Conduct market research
- Adjust marketing messaging
- Offer introductory offers
- Establish strategic partnerships
- Create compelling product demo and trials
5. Customer Satisfaction Score
Gauges customers' satisfaction with the new product, commonly measured using surveys and net promoter scores
What good looks like for this metric: 70-85%
Ideas to improve this metric- Enhance product quality
- Improve customer support
- Offer easy-to-find help resources
- Regularly collect customer feedback
- Implement suggested improvements
Metrics for Success of Online Course
1. Course Completion Rate
The percentage of enrolled students who complete the course out of the total enrolled students
What good looks like for this metric: 40-60%
Ideas to improve this metric- Enhance course content quality
- Offer personalised support
- Use engaging multimedia
- Provide clear learning objectives
- Implement regular assessments
2. Student Satisfaction Rate
The percentage of students who rate the course positively, usually gathered through post-course surveys
What good looks like for this metric: 70-90%
Ideas to improve this metric- Collect and act on feedback
- Improve the usability of the learning platform
- Update course materials regularly
- Include interactive elements
- Offer additional resources and support
3. Enrolment Numbers
The total number of students who enrol in the course
What good looks like for this metric: Varies by course popularity
Ideas to improve this metric- Enhance marketing efforts
- Offer early-bird discounts
- Utilise social media promotions
- Partner with influencers
- Host free webinars or previews
4. Drop-off Rate
The percentage of students who start but do not complete the course
What good looks like for this metric: 20-50%
Ideas to improve this metric- Identify and address common drop-off points
- Offer motivational incentives
- Provide progress tracking tools
- Maintain consistent communication
- Create a supportive community
5. Average Time to Completion
The average amount of time it takes for students to complete the course from enrolment to completion
What good looks like for this metric: 6-12 weeks
Ideas to improve this metric- Simplify complex topics
- Break down modules into manageable segments
- Offer flexible deadlines
- Provide clear time management tips
- Monitor and optimise course pacing
Metrics for Evaluating Test Performance
1. Test Coverage
Measures the percentage of the codebase tested by automated tests, calculated as (number of lines or code paths tested / total lines or code paths) * 100
What good looks like for this metric: 70%-90% for well-tested code
Ideas to improve this metric- Increase automation in testing
- Refactor complex code to simplify testing
- Utilise test-driven development
- Regularly update and review test cases
- Incorporate pair programming
2. Defect Density
Calculates the number of confirmed defects divided by the size of the software entity being measured, typically measured as defects per thousand lines of code
What good looks like for this metric: Less than 1 bug per 1,000 lines
Ideas to improve this metric- Conduct thorough code reviews
- Implement static code analysis
- Improve developer training
- Use standard coding practices
- Perform regular software audits
3. Test Execution Time
The duration taken to execute all test cases, calculated by summing up the time taken for all tests
What good looks like for this metric: Shorter is better; aim for less than 30 minutes
Ideas to improve this metric- Optimise test scripts
- Use parallel testing
- Remove redundant tests
- Upgrade testing tools or infrastructure
- Automate test environment setup
4. Code Churn Rate
Measures the amount of code change within a given period, calculated as the number of lines of code added, modified, or deleted
What good looks like for this metric: 5%-10% considered manageable
Ideas to improve this metric- Emphasise on quality over quantity in changes
- Increase peer code reviews
- Ensure clear and precise project scopes
- Monitor team workload to avoid burnout
- Provide comprehensive documentation
5. User Reported Defects
Counts the number of defects reported by users post-release, provides insights into the software's real-world performance
What good looks like for this metric: Strive for zero, but less than 5% of total defects
Ideas to improve this metric- Enhance pre-release testing
- Gather detailed user feedback
- Offer user training and resources
- Implement beta testing
- Regularly update with patches and fixes
Tracking your Development Team metrics
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 transparencyMore metrics recently published
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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