What are Ai Development metrics? Identifying the optimal Ai Development metrics can be challenging, especially when everyday tasks consume your time. To help you, we've assembled a list of examples to ignite your creativity.
Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.
Find Ai 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 Ai Development metrics and KPIs 1. Time Saved Creating Rubrics The amount of time saved when using AI compared to traditional methods for creating assignment and grading rubrics
What good looks like for this metric: 20-30% time reduction
Ideas to improve this metric Automate repetitive tasks Utilise AI suggestions for common criteria Implement AI feedback loops Train staff on AI tools Streamline rubric creation processes 2. Consistency of Grading The uniformity in applying grading standards when using AI-generated rubrics across different assignments and graders
What good looks like for this metric: 90-95% consistency
Ideas to improve this metric Use AI for grading calibration Standardise rubric templates Provide grader training sessions Incorporate peer reviews Regularly update rubrics 3. Accuracy of AI Suggestions The correctness and relevance of AI-generated rubric elements compared to expert-generated criteria
What good looks like for this metric: 85-95% accuracy
Ideas to improve this metric Customise AI settings Review AI outputs with experts Incorporate machine learning feedback Regularly update AI models Collect user feedback 4. User Satisfaction With Rubrics The level of satisfaction among educators and students with AI-created rubrics in terms of clarity and usefulness
What good looks like for this metric: 70-80% satisfaction rate
Ideas to improve this metric Conduct satisfaction surveys Gather and implement feedback Offer training on rubric interpretation Enhance user interface Continuously update rubric features 5. Overall Cost of Rubric Creation Total expenses saved by using AI tools over traditional methods for creating and managing rubrics
What good looks like for this metric: 10-15% cost reduction
Ideas to improve this metric Analyse cost-benefit regularly Leverage cloud-based AI solutions Negotiate better software licensing Train in-house AI experts Integrate AI with existing systems
← →
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
← →
1. Investor Meeting Attendance Rate The percentage of investors who attend scheduled meetings out of the total invited
What good looks like for this metric: 70-80%
Ideas to improve this metric Increase meeting reminders and follow-ups Offer multiple time slots to accommodate different time zones Incorporate engaging presentation materials Provide clear and concise meeting agendas Utilise feedback to improve future meetings 2. Post-Meeting Investor Follow-Up Rate The percentage of investors who engage in follow-up communication after a meeting
What good looks like for this metric: 50-60%
Ideas to improve this metric Personalise follow-up emails Highlight key takeaways from meetings Offer additional data or insights discussed in meetings Address any investor queries promptly Schedule subsequent touchpoints in advance 3. Investor Email Open Rate The percentage of investor-targeted emails that are opened by recipients
What good looks like for this metric: 15-25%
Ideas to improve this metric Craft compelling subject lines Send emails at optimal times Segment audience to target messaging Reduce email frequency to avoid saturation Ensure emails are mobile-friendly 4. Investor Engagement Index A composite score determining the overall engagement level based on various interactions
What good looks like for this metric: 60-75
Ideas to improve this metric Foster personal relationships Enhance content relevancy Regularly update investors on progress Invite feedback and suggestions Utilise investor-exclusive updates 5. Investor Response Time The average time taken by investors to respond to a communication
What good looks like for this metric: 24-48 hours
Ideas to improve this metric Implement a clearer call-to-action Utilise CRM tools to track and enhance interactions Ensure prompt internal communication for quick responses Provide immediate value in communications Follow up on non-respondents
← →
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
← →
Tracking your Ai Development 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.
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:
Tability's check-ins will save you hours and increase transparency
The best metrics for Triage and routing efficiency