Software Usage Analytics for Data-Driven Development Refcard
Software usage analytics enables you to collect, analyze, visualize, and integrate data on how users use software applications. Gartner predicts that by 2021, 75% of software providers will rely on insights from embedded software usage analytics to inform product management decisions and measure customer health.
Event-based metrics provide real-time insights from actual customer usage, highlighting which features are being adopted and which are being ignored, revealing problems in the UX or UI, helping to accelerate trial periods, improving user experience for particular OS or version builds, prioritizing feature enhancements, and tracking license compliance.
When product usage analytics is combined with targeted in-application messaging, it provides direct communication with users to provide real-time user assistance, gather valuable feedback, or shape behavior. Product teams with these insights experience a sharp increase in development efficiency and shorter release iterations, resulting in optimized resource investment. This Refcard gives an overview of software usage analytics, highlights specific metrics you can track, and compares software usage analytics to other developer tools including application lifecycle management and application planning solutions.
Chris Ward and Lesa Moné, Technical Writers for DZone, addresses these key topics, for product teams looking to begin data-driven development:
- Software Usage Analytics Addresses Developer Challenges
- Software Usage Analytics vs. APM and ALM
- What Software Usage Analytics Can Track
- Considerations for Implementing