Optimizely Reporting for Experimentation FAQs
- Optimizely Web Experimentation
- Optimizely Feature Experimentation
What is Optimizely Reporting for Experimentation?
Optimizely Reporting is a set of features that helps you measure the output and impact of your experimentation program. It provides you with dashboards and reports that show key metrics such as experiment velocity, conclusive rate, win rate, and uplift.
You can also drill down into the data and export it for further analysis. Optimizely Reporting for Experimentation is built within the Reporting section of Opti ID, which is a common platform across Optimizely products.
Who should use this?
Optimizely Reporting is designed for anyone in charge of running digital experiments, including experimentation program managers, experimentation strategists, executive leaders, and data analysts. These personas want to track and improve their experimentation program performance, communicate the value of experimentation to stakeholders, and make data-driven decisions to grow their business.
What are the benefits?
- Improve experimentation velocity – Measure, track, and improve on established experimentation KPIs such as the number of projects, experiments, and experiment phases.
- Decrease program or project planning overhead – Reduce time and effort spent on tracking and reporting on experiments using out-of-the-box and real-time reports.
- Improve experimentation governance and scope – Get a full view of experiments and attributes (like audiences, metrics, and status) across all projects and ensure alignment with your experimentation strategy.
- Decrease spend on program or project planning software – Replace the need for external reporting software to support your experimentation program with Optimizely's built-in feature.
- Improve experimentation efficacy – Identify and troubleshoot failed or abandoned experiments and optimize your experiment design and analysis.