What are Development metrics?
Crafting the perfect Development 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.
Find Development 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 Development metrics and KPIs
Metrics for Frontend Development
1. Page Load Time
The time it takes for a web page to fully load from the moment the user requests it
What good looks like for this metric: 2 to 3 seconds
Ideas to improve this metric- Optimise images and use proper formats
- Minimise CSS and JavaScript files
- Enable browser caching
- Use Content Delivery Networks (CDNs)
- Reduce server response time
2. Time to First Byte (TTFB)
The time it takes for the user's browser to receive the first byte of page content from the server
What good looks like for this metric: Less than 200 milliseconds
Ideas to improve this metric- Use faster hosting
- Optimise server configurations
- Use a CDN
- Minimise server workloads with caching
- Reduce DNS lookup times
3. First Contentful Paint (FCP)
The time from when the page starts loading to when any part of the page's content is rendered on the screen
What good looks like for this metric: Less than 1.8 seconds
Ideas to improve this metric- Defer non-critical JavaScript
- Reduce the size of render-blocking resources
- Prioritise visible content
- Optimise fonts and text rendering
- Minimise main-thread work
4. JavaScript Error Rate
The percentage of user sessions that encounter JavaScript errors on the site
What good looks like for this metric: Less than 1%
Ideas to improve this metric- Thoroughly test code before deployment
- Use error tracking tools
- Handle exceptions properly in the code
- Keep third-party scripts updated
- Perform regular code reviews
5. User Satisfaction (Apdex) Score
A metric that measures user satisfaction based on response times, calculated as the ratio of satisfactory response times to total response times
What good looks like for this metric: 0.8 or higher
Ideas to improve this metric- Monitor and analyse performance regularly
- Focus on optimising high-traffic pages
- Implement user feedback mechanisms
- Ensure responsive design principles are followed
- Prioritise backend performance improvement
Metrics for API Partnership Status
1. Number of Active Partners
The total count of partners currently integrated and actively using the API
What good looks like for this metric: 75-80% of total partners
Ideas to improve this metric- Strengthen partner support and engagement
- Implement regular check-ins
- Develop partner loyalty programs
- Enhance technical support resources
- Utilise feedback for improvements
2. Churn Rate
Percentage of partners that stop using the API over a set period
What good looks like for this metric: Below 5% annually
Ideas to improve this metric- Identify reasons for churn
- Improve troubleshooting and issue resolution
- Regularly update partners about new features
- Provide personalised support
- Analyse competition to improve offerings
3. Number of Potential Partners
The count of partners identified as potential candidates for API integration
What good looks like for this metric: Increase by 15% annually
Ideas to improve this metric- Expand target market research
- Enhance marketing strategies
- Attend industry networking events
- Offer incentives for referrals
- Create tailored outreach campaigns
4. Go-Live Success Rate
Percentage of potential partners who successfully go live within the expected timeframe
What good looks like for this metric: 90% successful go-live within agreed timeline
Ideas to improve this metric- Streamline onboarding process
- Enhance technical onboarding support
- Break down integration process into clear steps
- Use project management tools for tracking
- Conduct pre-launch reviews and tests
5. Time to Market
Average number of days taken for a partner to go from initial contact to full integration
What good looks like for this metric: 45 days or less
Ideas to improve this metric- Improve the efficiency of the approval process
- Offer comprehensive technical documentation
- Accelerate internal decision-making
- Implement faster testing cycles
- Provide dedicated onboarding facilitators
Metrics for Fulfillment and growth
1. Employee engagement score
Measures the level of engagement employees feel towards their work, typically gathered through surveys
What good looks like for this metric: 70-80%
Ideas to improve this metric- Encourage open communication
- Provide opportunities for feedback
- Recognize and reward achievements
- Offer professional development programs
- Foster a positive work environment
2. Employee retention rate
Calculated as the percentage of employees who stay with the company over a specific period
What good looks like for this metric: 85-90%
Ideas to improve this metric- Create clear career paths
- Provide competitive compensation
- Ensure work-life balance
- Foster a strong company culture
- Conduct exit interviews
3. Professional development participation
Tracks the number of employees engaging in professional development activities
What good looks like for this metric: 60-75%
Ideas to improve this metric- Promote development opportunities
- Subsidize costs of courses
- Incorporate development into performance reviews
- Provide time for learning
- Highlight success stories
4. Internal promotion rate
Percentage of roles filled by internal candidates rather than external hires
What good looks like for this metric: 15-20%
Ideas to improve this metric- Identify and groom top talent
- Offer leadership training
- Create mentorship programs
- Set clear promotion criteria
- Monitor and address skill gaps
5. Work-life balance score
Evaluates how employees feel about their work-life balance, often measured through surveys
What good looks like for this metric: 70-80%
Ideas to improve this metric- Implement flexible work hours
- Encourage taking vacations
- Promote wellness programs
- Regularly assess workloads
- Provide support for remote work
Metrics for Effective linkbuilding strategies
1. Domain Authority (DA)
A measure of the overall quality and authority of a website, calculated by several factors including the number and quality of incoming links
What good looks like for this metric: Typical values range from 0 to 100, with 50+ considered good for established websites
Ideas to improve this metric- Obtain backlinks from high-authority sites
- Create high-quality, shareable content
- Regularly audit and disavow low-quality links
- Engage in guest blogging on authoritative sites
- Participate in relevant online communities and forums
2. Number of Referring Domains
The number of unique domains that link to your website, indicating popularity and reach
What good looks like for this metric: More than 100 referring domains considered healthy for growing websites
Ideas to improve this metric- Identify and reach out to industry influencers
- Run link-building campaigns
- Offer exclusive content to potential linkers
- Collaborate with other websites for mutual linking
- Use link-building tools to find opportunities
3. Linking Root Domains
Count of distinct root domains that link to your site, reflecting diversity in linking sources
What good looks like for this metric: Having diverse linking root domains strengthens authority
Ideas to improve this metric- Diversify content to attract various industries
- Engage in PR campaigns for broader coverage
- Create evergreen content to attract ongoing links
- Analyze competitors' backlinks for new opportunities
- Host or sponsor industry events to gain mentions
4. Backlink Growth Rate
The pace at which new backlinks are acquired over time, indicating link-building success
What good looks like for this metric: Consistent monthly growth rate of 5-10% is healthy
Ideas to improve this metric- Publish new content regularly
- Repurpose old content in new formats
- Maintain relationships with website owners
- Monitor backlinks and capitalize on trends
- Utilize social media to drive traffic and engagement
5. Anchor Text Distribution
The types and variety of anchor texts used in backlinks, affecting relevance and SEO
What good looks like for this metric: Balanced distribution between branded, generic, and exact match anchor texts
Ideas to improve this metric- Craft varied and relevant anchor texts
- Encourage natural linking practices
- Avoid overly optimized anchor texts
- Monitor and adjust anchor text ratios
- Educate content creators on best practices
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 Product Management Vision
1. Revenue Growth Rate
Measures the rate at which revenue is increasing over a given period, often expressed as a percentage
What good looks like for this metric: 10-20% annual growth
Ideas to improve this metric- Introduce new innovative products
- Expand into new markets
- Enhance marketing strategies
- Optimise pricing strategies
- Improve sales techniques
2. Customer Satisfaction Score
Assesses the level of satisfaction customers feel about a product or service, often measured through surveys
What good looks like for this metric: 75-85 out of 100
Ideas to improve this metric- Improve customer service
- Seek regular feedback
- Enhance product quality
- Address customer issues promptly
- Develop loyalty programmes
3. Employee Engagement Level
Evaluates how committed and motivated employees are towards their work and organisation
What good looks like for this metric: 70-80% engagement
Ideas to improve this metric- Foster a positive work environment
- Offer professional development
- Recognise and reward achievements
- Encourage open communication
- Provide work-life balance initiatives
4. Time to Market
Time taken from product conception to its availability in the market
What good looks like for this metric: 6-12 months
Ideas to improve this metric- Streamline development processes
- Adopt Agile methodologies
- Enhance cross-functional collaboration
- Implement project management tools
- Regularly review and adjust timelines
5. Net Promoter Score (NPS)
Gauge the likelihood of customers to recommend the company's products or services, indicating customer loyalty
What good looks like for this metric: 30-50
Ideas to improve this metric- Deliver exceptional customer experiences
- Address negative feedback quickly
- Continuously improve the product
- Engage with customers through multiple channels
- Build strong customer relationships
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 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 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 Completing BBA Degree
1. GPA
The grade point average (GPA) measures academic performance by averaging the grades received in all courses
What good looks like for this metric: A typical benchmark would be a GPA of 3.0 or above on a 4.0 scale
Ideas to improve this metric- Create a study schedule
- Join study groups
- Seek feedback from professors
- Utilise campus resources like tutoring
- Stay organised with assignments
2. Course Completion Rate
The percentage of courses successfully completed out of those enrolled
What good looks like for this metric: Aim to complete at least 90% of enrolled courses
Ideas to improve this metric- Plan your course load effectively
- Drop courses only if necessary
- Use a planner to keep track of deadlines
- Seek help early for difficult courses
- Regularly review your academic plan
3. Attendance Rate
The percentage of classes attended compared to the total number required
What good looks like for this metric: Maintain an attendance rate of 90% or higher
Ideas to improve this metric- Set alarms to avoid missing classes
- Prioritise class attendance
- Schedule classes at convenient times
- Inform instructors of unavoidable absences
- Participate in class to stay engaged
4. Skill Development
The acquisition of key skills related to the BBA curriculum, including communication, teamwork, and analytical skills
What good looks like for this metric: Significant improvement in communication and analytical skills over the course of study
Ideas to improve this metric- Attend workshops and seminars
- Engage in extracurricular activities
- Take on internship opportunities
- Request feedback on skills
- Practise skills in real-world scenarios
5. Extracurricular Involvement
Participation in clubs, organisations, and activities outside of academic coursework
What good looks like for this metric: Participate in at least two significant extracurricular activities
Ideas to improve this metric- Join clubs related to business
- Volunteer for leadership roles
- Attend networking events
- Balance activities with academics
- Seek diverse involvement opportunities
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 Team Member Strengths
1. Skill Proficiency
Measures the level of expertise and efficiency in a specific skill relevant to their role
What good looks like for this metric: Skills proficiency level between 1-5, with 3 being average competency
Ideas to improve this metric- Conduct regular skill assessments
- Provide access to skill-based training
- Encourage participation in workshops
- Establish mentorship programmes
- Implement skill-enhancing challenges
2. Project Contribution
Evaluates the impact and significance of a team member's contribution to projects
What good looks like for this metric: Regularly contributing significantly to 3 out of 5 projects per quarter
Ideas to improve this metric- Recognise individual contributions front and centre
- Create clear roles and responsibilities
- Set clear expectations for project deliverables
- Encourage collaboration and idea sharing
- Provide feedback and recognition incentives
3. Problem-Solving Ability
Assesses the ability to effectively analyse and solve work-related problems
What good looks like for this metric: Resolution of 4 out of 5 problems without extensive supervision
Ideas to improve this metric- Encourage creative thinking sessions
- Provide problem-solving workshops
- Facilitate peer brainstorming groups
- Allocate time for independent problem exploration
- Celebrate successful problem-solving outcomes
4. Leadership Potential
Identifies the capacity and tendency to take initiative and lead teams or projects
What good looks like for this metric: Exhibiting leadership potential in 2 out of 5 team situations
Ideas to improve this metric- Delegate small leadership roles regularly
- Provide leadership training opportunities
- Encourage initiative taking in projects
- Establish a leadership mentorship programme
- Recognise and reward leadership behaviours
5. Interpersonal Skills
Measures the effectiveness of communication and teamwork within the team
What good looks like for this metric: Positive peer feedback 80% of the time
Ideas to improve this metric- Conduct communication skills workshops
- Encourage team-building activities
- Facilitate open feedback sessions
- Provide conflict resolution training
- Recognise and celebrate teamwork
Metrics for Software Releases
1. Release Frequency
Measures the number of releases over a specific period. Indicates how quickly updates are being deployed.
What good looks like for this metric: 1-2 releases per month
Ideas to improve this metric- Automate deployment processes
- Implement continuous integration/continuous deployment practices
- Invest in developer training
- Regularly review and optimise code
- Deploy smaller, incremental updates
2. Lead Time for Changes
The average time it takes from code commitment to production release. Reflects the efficiency of the development pipeline.
What good looks like for this metric: Less than one week
Ideas to improve this metric- Streamline workflow processes
- Use automated testing tools
- Enhance code review efficiency
- Implement Kanban or Agile methodologies
- Identify and eliminate bottlenecks
3. Change Failure Rate
Percentage of releases that cause a failure in production. Indicates the reliability of releases.
What good looks like for this metric: Less than 15%
Ideas to improve this metric- Increase testing coverage
- Conduct thorough code reviews
- Implement feature flags
- Improve rollback procedures
- Provide better training for developers
4. Mean Time to Recovery (MTTR)
Average time taken to recover from a failure. Reflects the team's ability to handle incidents.
What good looks like for this metric: Less than one hour
Ideas to improve this metric- Establish clear incident response protocols
- Automate recovery processes
- Enhance monitoring and alerts
- Regularly conduct disaster recovery drills
- Analyse incidents post-mortem to prevent recurrence
5. Number of Bugs Found Post-Release
The count of bugs discovered by users post-release. Indicates the quality of software before deployment.
What good looks like for this metric: Fewer than 5 bugs per release
Ideas to improve this metric- Enhance pre-release testing
- Implement user acceptance testing
- Increase use of beta testing
- Utilise static code analysis tools
- Improve requirement gathering and planning
Tracking your Development 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