What are Product metrics? Crafting the perfect Product 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.
Transfer these examples to your app of choice, or opt for Tability to help keep you on track.
Find Product 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 Product metrics and KPIs 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
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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
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1. Customer Satisfaction (CSAT) Measures customer satisfaction based on their experience with the product, typically through surveys
What good looks like for this metric: 75%-85%
Ideas to improve this metric Improve customer support Enhance product features Implement user feedback promptly Conduct regular user experience reviews Offer personalised customer interactions 2. Net Promoter Score (NPS) Measures customer loyalty by asking how likely they are to recommend the product to others
What good looks like for this metric: 30-50
Ideas to improve this metric Implement user-friendly design Enhance product reliability Offer proactive customer support Regularly update and improve the product Conduct customer satisfaction surveys 3. Monthly Active Users (MAU) Tracks the number of unique users engaging with the product within a month
What good looks like for this metric: Varies by industry
Ideas to improve this metric Increase marketing efforts Enhance user engagement features Regularly update content Simplify onboarding process Offer promotions or incentives 4. Customer Retention Rate Measures the percentage of customers who continue using the product over a specific period
What good looks like for this metric: 80%-90%
Ideas to improve this metric Improve customer service Enhance product quality Analyse and address churn reasons Regularly engage with customers Offer loyalty programmes 5. Average Revenue Per User (ARPU) Calculates the average income generated per user, typically on a monthly or annual basis
What good looks like for this metric: Varies by industry
Ideas to improve this metric Upsell premium features Introduce new pricing models Increase user engagement Expand user base Conduct pricing analysis
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1. Customer Satisfaction Score (CSAT) Measures the level of satisfaction customers have with a product or service, often collected via surveys at the end of a transaction or service interaction. Calculated as (Number of Satisfied Customers / Total Number of Responses) * 100.
What good looks like for this metric: 75-85%
Ideas to improve this metric Gather regular customer feedback Resolve customer complaints promptly Enhance product features based on feedback Train customer support teams Improve user experience design 2. Net Promoter Score (NPS) Assesses customer loyalty by asking how likely customers are to recommend the product to others. Calculated as percentage of promoters minus percentage of detractors.
What good looks like for this metric: 30-50
Ideas to improve this metric Engage with promoters for referrals Address issues raised by detractors Implement a customer loyalty program Improve overall product quality Personalise customer interactions 3. Monthly Recurring Revenue (MRR) The total predictable revenue that a business expects to make every month. Calculated by summing up the recurring revenue from all customers in a month.
What good looks like for this metric: Varies widely by industry
Ideas to improve this metric Upsell existing customers Introduce tiered pricing models Reduce customer churn Expand market reach Improve the onboarding process 4. Customer Acquisition Cost (CAC) The cost associated with acquiring a new customer, calculated by dividing the total marketing and sales expenses by the number of new customers acquired.
What good looks like for this metric: $10-$200
Ideas to improve this metric Optimise marketing spend Increase organic growth channels Improve lead conversion rates Enhance targeting strategies Strengthen brand awareness 5. Customer Lifetime Value (CLTV) The total revenue a business expects from a customer over their lifetime. Calculated by multiplying the average purchase value, purchase frequency, and customer lifespan.
What good looks like for this metric: 3-5x CAC
Ideas to improve this metric Enhance customer retention efforts Increase average order value Encourage repeat purchases Improve product quality and features Develop customer loyalty programs
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1. Viral Coefficient Measures how many new users each existing user brings in. Calculated as (Number of invitations sent by existing users * Conversion rate of the invitations) / Total number of existing users
What good looks like for this metric: 1.0 or higher
Ideas to improve this metric Create incentives for users to refer others Simplify the referral process Enhance the referral reward system Optimise onboarding processes for referred users Regularly test and refine referral messages 2. Invite Conversion Rate The percentage of invitations sent out that result in new users. Calculated as (Number of successful invites / Total invites sent) * 100
What good looks like for this metric: 20-30%
Ideas to improve this metric Personalise invitation messages Optimise follow-up sequences A/B test different invitation templates Offer additional incentives for completion Improve the perceived value of joining 3. Time to First Referral The average time it takes for a new user to make their first referral. Calculated by tracking the time between user registration and their first successful referral
What good looks like for this metric: Within 7 days
Ideas to improve this metric Create a sense of urgency Provide clear instructions on how to refer Showcase the benefits immediately Use gamification strategies Send targeted reminders 4. User Retention Rate Percentage of users who continue to use the product over a specific period. Calculated as (Number of users at end of period – Number of new users during period) / Number of users at start of period * 100
What good looks like for this metric: 35% after one month
Ideas to improve this metric Provide continuous value through updates Engage users with regular content Offer personalised experiences Implement user feedback Ensure seamless and user-friendly design 5. Daily Active Users (DAU) / Monthly Active Users (MAU) The ratio of daily active users to monthly active users, indicating how sticky the product is. Calculated as DAU / MAU
What good looks like for this metric: 20% or higher
Ideas to improve this metric Encourage daily engagement through notifications Develop engaging daily content or features Analyse and replicate behaviours of highly active users Implement loyalty programs Regularly update and improve product features
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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
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1. User Retention Rate Percentage of users who continue to use the product over a set period of time
What good looks like for this metric: 30-40% after 90 days
Ideas to improve this metric Send personalised email reminders Implement user onboarding tutorials Add in-app notifications for new features Offer loyalty rewards or discounts Conduct user feedback surveys 2. Daily Active Users (DAU) Number of unique users who engage with the product daily
What good looks like for this metric: 10-20% of total users
Ideas to improve this metric Increase the frequency of updates Incorporate gamification elements Encourage social sharing Optimise app load times Run promotional campaigns 3. Session Length Average duration of time a user spends on the product in a single session
What good looks like for this metric: 5-10 minutes
Ideas to improve this metric Simplify navigation within the app Add value-rich content Make user tasks easier to complete Enable personalised experiences Implement engaging design elements 4. Churn Rate Percentage of users who stop using the product over a given period
What good looks like for this metric: 5-7% monthly
Ideas to improve this metric Identify pain points through user feedback Improve customer support Enhance product features based on feedback Offer re-engagement incentives Streamline the user experience 5. Feature Adoption Rate Percentage of users utilising new or specific features of the product
What good looks like for this metric: 25-30%
Ideas to improve this metric Create feature-specific tutorials Promote new features through email Highlight features in-app Gather and act on feedback for new features Incentivise users to try new features
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1. Customer Satisfaction Score (CSAT) Measures the percentage of customers who are satisfied with their service experience on the platform by collecting feedback after interactions
What good looks like for this metric: 80-85%
Ideas to improve this metric Train customer service agents regularly Implement a robust feedback collection process Utilise automation for frequent issues Monitor and review agent performance Enhance knowledge database for agents 2. Net Promoter Score (NPS) Assesses customer loyalty through how likely they are to recommend the service to others on a scale of 0-10
What good looks like for this metric: 30-50
Ideas to improve this metric Focus on customer journey mapping Address pain points identified in feedback Provide timely and personalised responses Recognise and reward loyal customers Conduct regular product and service enhancements 3. First Contact Resolution (FCR) Percentage of customer issues resolved at the first interaction, indicating efficiency and effectiveness
What good looks like for this metric: 70-75%
Ideas to improve this metric Ensure agents have access to comprehensive information Provide decision-making authority to agents Implement initial troubleshooting steps in self-service Analyse repeat contact reasons and address them Utilise real-time collaboration tools for support 4. Customer Retention Rate Percentage of existing customers retained over a period, reflecting long-term platform satisfaction and loyalty
What good looks like for this metric: 75-85%
Ideas to improve this metric Develop loyalty programmes and incentives Regularly engage with customers via newsletters Offer personalised experiences and service Address customer feedback promptly Ensure competitive pricing and value delivery 5. Average Response Time Average time taken for initial response by the customer service team, indicating responsiveness and efficiency
What good looks like for this metric: 10-12 minutes on chat; 24 hours on email
Ideas to improve this metric Implement automated response systems Optimise and streamline workflow processes Schedule efficient shift rotations Set clear response time targets for teams Employ predictive analytics for demand forecasting
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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
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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
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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
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1. Uptime Percentage The percentage of time the hardware is operational and available to the user without unplanned outages
What good looks like for this metric: 99%
Ideas to improve this metric Conduct regular maintenance checks Implement automated monitoring systems Invest in high-quality hardware components Train users on proper device handling Have immediate on-call technical support 2. Mean Time to Repair (MTTR) The average time taken to repair a hardware failure and restore functionality
What good looks like for this metric: Less than 4 hours
Ideas to improve this metric Streamline repair processes Stock essential spare parts Conduct regular technician training Utilise detailed error logging Develop a priority repair system 3. Mean Time Between Failures (MTBF) The average time interval between hardware failures
What good looks like for this metric: Over 30,000 hours
Ideas to improve this metric Use high-reliability components Ensure environmental conditions are optimal Regularly update drivers and software Perform thorough pre-deployment testing Implement predictive maintenance strategies 4. Hardware Replacement Rate The frequency at which hardware needs replacing due to failure or obsolescence
What good looks like for this metric: 0-5% annually
Ideas to improve this metric Analyse end-of-life cycles Prioritise purchasing from reputable manufacturers Develop a proactive upgrade schedule Conduct cost-benefit analysis for replacements Ensure comprehensive warranty coverage 5. User Satisfaction Score A measurement of user satisfaction regarding hardware performance and reliability
What good looks like for this metric: Above 85%
Ideas to improve this metric Gather regular user feedback Implement user-centric design improvements Ensure consistent hardware updates Offer convenient user support options Address common user complaints proactively
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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
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1. Total Downloads The total number of times the podcast episodes have been downloaded.
What good looks like for this metric: 10,000 downloads/month
Ideas to improve this metric Promote episodes on social media Collaborate with other podcasters Optimize episode titles and descriptions Encourage listeners to subscribe Engage with your audience 2. Listener Retention Rate The percentage of listeners who listen to episodes from start to finish.
What good looks like for this metric: 60%
Ideas to improve this metric Improve audio quality Create engaging and relevant content Use storytelling techniques Release episodes consistently Ask for listener feedback 3. Average Episode Rating The average rating given by listeners on platforms like Apple Podcasts.
What good looks like for this metric: 4.5 stars
Ideas to improve this metric Ask listeners to rate your podcast Respond to listener reviews Ensure high-quality content Regularly update podcast cover art Interview interesting guests 4. Social Media Engagement The number of likes, shares, comments, and overall interaction on social media posts related to your podcast.
What good looks like for this metric: 500 engagements/post
Ideas to improve this metric Create visually appealing posts Use hashtags effectively Engage with your audience's comments Share behind-the-scenes content Host live Q&A sessions 5. Subscriber Growth Rate The rate at which new listeners subscribe to your podcast over a specific period.
What good looks like for this metric: 10% increase/month
Ideas to improve this metric Promote your podcast on different platforms Run targeted ads Offer exclusive content for subscribers Collaborate with influencers Create a referral programme
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Tracking your Product metrics Having a plan is one thing, sticking to it is another.
Setting good strategies is only the first challenge. The hard part is to avoid distractions and make sure that you commit to the plan. A simple weekly ritual will greatly increase the chances of success.
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
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