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Measuring the User Experience on a Large Scale: User-Centered Metrics for Web Applications

Measuring the User Experience on a Large Scale: User-Centered Metrics for Web Applications. BIL 763 Melik Yücel. CONTENT. Introduction Related Work PULSE Metrics HEART Metrics Goal-Signals-Metrics Conclusion. Measuring User Experience. Introduction.

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Measuring the User Experience on a Large Scale: User-Centered Metrics for Web Applications

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  1. Measuring the User Experience on a Large Scale: User-Centered Metrics for Web Applications BIL 763 Melik Yücel

  2. CONTENT • Introduction • Related Work • PULSE Metrics • HEART Metrics • Goal-Signals-Metrics • Conclusion

  3. Measuring User Experience Introduction • More applications and services become web based • Abilty to use large-scale user log • The established mesaurements are mostly small scale and checklists as part of lab expirement • Lack of user behavioral data and too generic to address user experience questions • This work proposes new framework and process

  4. Related Work • Analysis of user surveys, large-scale remote usability and benchmarking tests • Tracking and analysis of metrics for websites • Custom analysis of large-scale log data

  5. PULSE Metrics • Page views • Uptime • Latency • Seven-day active users • Earnings

  6. HEART Metrics • Happiness (satisfaction) • Engagement • Adoption • Retention • Task Success (effectiveness & efficiency)

  7. Goals-Signals-Metrics A simple process that steps teams through articulating the goals of a product or feature, then identifying signals that indicate success, and finally building specific metricsto track on a dashboard.

  8. Goals • Opportunity to collect all the different ideas from different team members • Goals of different a particular project or feature may be different from product in general • Do not worry about signals and metrics at this stage

  9. Signals • Choose signals that are sensetive and specific to the goal • Sometimes failure is easier to identify than success

  10. Metrics • Raw counts need to be normalized • There are many challenges in ensuring accuarcy of metrics based on web • To compare your product to others,you may need track additional metrics from the standart set used bye those products

  11. Conclusion • Developed new framework and process for large-scale user experience • Applied to more than 20 different products and projects of Goolge. • Can be used by different organisations easily

  12. Thanks...

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