Compendium of 54 Most Useful KPIs for the Technology Sector

These KPIs are crucial for assessing the performance, reliability, and user engagement of various technology-related aspects.

1.      3D Printing Time: The time it takes to complete a 3D printing job or process.

2.      Active Users Per License: The number of active users utilizing a software license, indicating the efficiency of license utilization.

3.      API Call Success Rate: The percentage of successful API (Application Programming Interface) calls in relation to the total number of API calls made.

4.      API Performance: Measurement of the efficiency and responsiveness of an application's API.

5.      App Crash Rate: The frequency at which a software application crashes, indicating its stability.

6.      Artificial Intelligence Training Time: The duration required to train an artificial intelligence model.

7.      Augmented Reality/Virtual Reality Engagement: Measurement of user engagement with augmented reality (AR) or virtual reality (VR) technologies.

8.      Average Revenue Per User (ARPU): The average revenue generated per individual user.

9.      Average Time to Detect (TTD): The average time taken to detect security incidents or breaches.

10.  Blockchain Confirmation Time: The time taken to confirm and validate transactions on a blockchain.

11.  Bug Fixing Time: The time taken to identify and resolve software bugs or issues.

12.  Capital Expenditures (CapEx) as a Percentage of Revenue: The portion of revenue spent on capital expenditures.

13.  Churn Rate: The rate at which users or customers discontinue or unsubscribe from a service.

14.  Click-through Rate (CTR): The percentage of users who click on a specific link or advertisement.

15.  Cloud Migration Success Rate: The success rate of migrating applications or data to a cloud environment.

16.  Code Deployment Frequency: How often new code changes are deployed to production.

17.  Code Reusability: The extent to which code components can be reused in different parts of a software application.

18.  Code Review Efficiency: Measurement of the effectiveness and efficiency of the code review process.

19.  Cost per Bug: The average cost associated with identifying and fixing a software bug.

20.  Cost per Line of Code: The average cost incurred for developing or maintaining each line of code.

21.  Daily Active Users (DAUs) to MAUs ratio: The ratio of Daily Active Users to Monthly Active Users, indicating user engagement.

22.  Data Breach Incidents: The number of incidents involving unauthorized access to sensitive data.

23.  Data Compression Ratio: The degree to which data is compressed, indicating efficiency in storage or transmission.

24.  Data Processing Latency: The time delay in processing data, reflecting the speed of data processing.

25.  Data Throughput: The amount of data transferred successfully over a network within a given time.

26.  Failed Deployments: The number of unsuccessful attempts to deploy new code changes or updates.

27.  Feature Usage: Measurement of how often specific features within a software application are utilized by users.

28.  Hardware Failure Rate: The frequency at which hardware components fail within a system.

29.  Incident Response Time: The time taken to respond to and address incidents or issues.

30.  Infrastructure Scalability: The ability of the technology infrastructure to handle increased demands or workloads.

31.  License and Subscription Renewal Rates: The percentage of users renewing software licenses or subscriptions.

32.  Load Time: The time it takes for a software application or web page to load.

33.  Monthly Active Users (MAUs): The number of unique users engaging with a system or application in a given month.

34.  Net Promoter Score (NPS): A metric measuring customer satisfaction and loyalty based on survey responses.

35.  Network Latency: The delay in data communication over a network.

36.  Onboarding Time: The time required to onboard or integrate new users into a system.

37.  Page Views Per Visit: The average number of pages viewed by a user during a single visit.

38.  Percentage of Active Users: The proportion of total users who actively engage with a platform.

39.  Platform Uptime: The percentage of time a technology platform is available and operational.

40.  Quantum Volume: A measure of the capabilities and performance of quantum computers.

41.  Return on Research and Development (R&D) Investment: The value generated in relation to the investment made in research and development activities.

42.  Revenue Per User (RPU): The average revenue generated per individual user.

43.  Security Incidents: The number of incidents involving security vulnerabilities or breaches.

44.  Server Downtime: The duration during which servers are not operational or accessible.

45.  Server Request Handling Time: The time taken to process and respond to server requests.

46.  Session Duration: The average duration of user sessions or interactions with an application.

47.  Software License Utilization: The extent to which software licenses are actively used.

48.  System Availability Percentage: The percentage of time a system is available and functional.

49.  Technical Debt: The accumulated cost of additional work needed to fix issues or maintain the software in the future.

50.  Technical Support Resolution Time: The time taken to resolve technical support issues.

51.  Technology Accessibility Score: Evaluation of how accessible a technology solution is to users with disabilities.

52.  Test Coverage: The percentage of a software application covered by automated tests.

53.  Time Spent in App or Platform: The average amount of time users spend within a technology application or platform.

54.  Wearable Tech Data Accuracy: The accuracy of data collected by wearable technologies.