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4 examples of Learning And Development metrics and KPIs

What are Learning And Development metrics?

Finding the right Learning And Development metrics can seem daunting, particularly when you're focused on your daily workload. For this reason, we've compiled a selection of examples to fuel your inspiration.

Transfer these examples to your app of choice, or opt for Tability to help keep you on track.

Find Learning And 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 Learning And Development metrics and KPIs

Metrics for Reprocessed Plastic Recycling

  • 1. Annual Sales Volume

    The total quantity of plastic products sold within a year

    What good looks like for this metric: 10,000 MT in 2025, increasing to 50,000 MT by 2035

    Ideas to improve this metric
    • Expand market reach through marketing
    • Increase product quality to boost sales
    • Enhance sales team training and incentives
    • Identify and target key industries needing plastic
    • Collaborate with international partners

  • 2. Production Yield

    The percentage of produced items that meet quality standards

    What good looks like for this metric: 95% in 2025, aiming for 99% by 2035

    Ideas to improve this metric
    • Implement quality checks at each production phase
    • Invest in modern machinery and technology
    • Train employees on quality control processes
    • Conduct regular maintenance on equipment
    • Incorporate lean manufacturing practices

  • 3. Customer Retention Rate

    The percentage of customers who continue to buy over time

    What good looks like for this metric: 80% in 2025, increasing to 95% by 2035

    Ideas to improve this metric
    • Enhance customer service and support
    • Implement a loyalty program
    • Regularly seek customer feedback for improvements
    • Offer personalized deals and discounts
    • Ensure high product quality and consistency

  • 4. Cost per Metric Tonne (MT)

    The cost incurred to produce one metric tonne of plastic

    What good looks like for this metric: 10% reduction by 2026, aiming for 20% reduction by 2035

    Ideas to improve this metric
    • Streamline procurement processes
    • Negotiate better deals with suppliers
    • Optimize production scheduling for efficiency
    • Minimize waste during production
    • Utilize energy-efficient machinery

  • 5. Training Hours per Employee

    The average number of hours each employee spends in training annually

    What good looks like for this metric: 20 hours in 2025, increasing to 60 hours by 2035

    Ideas to improve this metric
    • Develop a comprehensive training calendar
    • Encourage online and external training sessions
    • Introduce mentorship programs
    • Link training to career development plans
    • Utilize technology for training modules
recycling-metricssustainability-goalssales-managerquality-control-specialistmarketing-departmentproduction-team
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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
employee-engagementretention-ratehr-manageremployee-experience-specialisthuman-resourceslearning-and-development
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Metrics for HR KPIs

  • 1. Employee Turnover Rate

    The percentage of employees who leave the company during a certain period of time, calculated by dividing the number of employees who leave by the average number of employees and multiplying by 100

    What good looks like for this metric: 10-15%

    Ideas to improve this metric
    • Enhance employee engagement programmes
    • Improve internal communication
    • Offer competitive salaries and benefits
    • Create a clear career progression path
    • Regularly review and improve company culture

  • 2. Time to Hire

    The average number of days it takes from when a job opens until an offer is accepted, indicating the efficiency of the hiring process

    What good looks like for this metric: 40-50 days

    Ideas to improve this metric
    • Streamline the interview process
    • Utilise applicant tracking systems
    • Enhance job descriptions
    • Build a talent pipeline
    • Increase employer branding

  • 3. Employee Engagement Rate

    The level of employee commitment and involvement towards their organisation, typically measured through surveys and engagement scores

    What good looks like for this metric: 70-80%

    Ideas to improve this metric
    • Regularly conduct employee surveys
    • Offer professional development opportunities
    • Recognise and reward employees
    • Foster a positive work environment
    • Encourage regular feedback sessions

  • 4. Absenteeism Rate

    The percentage of workdays employees are absent, calculated by dividing the number of days missed by the total number of workdays available

    What good looks like for this metric: 1.5-3%

    Ideas to improve this metric
    • Implement wellness programmes
    • Improve workplace conditions
    • Address potential causes of stress
    • Provide flexible work options
    • Promote a healthy work-life balance

  • 5. Training Cost Per Employee

    The amount of money spent on training each employee, including materials, time, and any external training sessions

    What good looks like for this metric: $1,000-$1,500

    Ideas to improve this metric
    • Evaluate the effectiveness of existing training programmes
    • Utilise more in-house training resources
    • Leverage online learning platforms
    • Negotiate better rates with external trainers
    • Ensure training aligns with company goals
employee-turnoverengagement-ratehr-managerrecruiterhr-departmentlearning-and-development-team
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Metrics for Improve Cyberbullying Detection

  • 1. Accuracy

    Proportion of overall correct predictions made by the system

    What good looks like for this metric: Typical values range from 85% to 92%

    Ideas to improve this metric
    • Regularly update training data with new examples of cyberbullying
    • Employ data augmentation techniques to enhance model robustness
    • Refine algorithms to better differentiate between nuanced bullying and benign interactions
    • Invest in powerful computational resources for training
    • Enhance feature selection to include more relevant variables

  • 2. Precision

    Proportion of identified bullying incidents that were truly bullying (minimises false positives)

    What good looks like for this metric: Typical values range from 80% to 89%

    Ideas to improve this metric
    • Implement stricter thresholds for classifying messages as bullying
    • Use ensemble methods to improve precision
    • Incorporate more contextual clues from text data
    • Regularly review and analyse false positive cases
    • Enhance algorithm's sensitivity to language nuances

  • 3. Recall

    Proportion of actual bullying cases that the system successfully detected (minimises false negatives)

    What good looks like for this metric: Typical values range from 86% to 93%

    Ideas to improve this metric
    • Increase dataset size with more diverse examples of bullying
    • Utilise semi-supervised learning to leverage unlabelled data
    • Adapt models to recognise emerging slang or code words used in bullying
    • Incorporate real-time updates to improve detection speed
    • Conduct regular system audits to identify and correct blind spots

  • 4. F1-Score

    Harmonic mean of precision and recall, providing a balanced measure of both

    What good looks like for this metric: Typical values range from 83% to 91%

    Ideas to improve this metric
    • Focus on improving either precision or recall without sacrificing the other
    • Perform cross-validation to identify optimal model parameters
    • Use advanced NLP techniques for better text understanding
    • Regular user feedback to identify missed detection patterns
    • Continuous deployment for quick implementation of improvements

  • 5. AUC-ROC

    Measures the ability to distinguish between classes across various thresholds

    What good looks like for this metric: Typical values range from 0.89 to 0.95

    Ideas to improve this metric
    • Optimise feature selection to improve class separation
    • Apply deep learning methods for better pattern recognition
    • Leverage domain expert input to refine classification criteria
    • Regularly update models to adjust to new trends in digital communication
    • Evaluate model performance using different cut-off points for better discrimination
detectionmetricsdata-scientistmachine-learning-engineerresearch-and-developmentcybersecurity
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Tracking your Learning And 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 Insights DashboardTability's check-ins will save you hours and increase transparency

More metrics recently published

We have more examples to help you below.

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:

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