The Internet Quality Barometer (IQB) framework was designed to transform raw Internet measurement data into actionable insights about Internet quality. Specifically, the framework maps raw speed test measurements to network requirements (e.g., throughput, latency), maps these requirements to representative Internet use cases (such as video streaming or web browsing), and finally aggregates performance across use cases into a single IQB score. The IQB score is a composite index ranging from 0 to 1, intended to capture overall Internet quality in a way that is both interpretable and comparable across locations. We implemented the IQB framework in practice by developing an open-source IQB library and a prototype web application. These tools enabled us to compute IQB scores at scale, including global estimates aggregated at the level of countries, regions, and cities. In this report we conduct a preliminary sensitivity analysis of the IQB framework, investigating how different parameter choices affect the resulting IQB scores, identifying which parameters the framework is most sensitive to, and highlighting cases that may lead to outliers or potentially misleading results.

翻译：互联网质量晴雨表（IQB）框架旨在将原始互联网测量数据转化为关于互联网质量的可操作洞察。具体而言，该框架将原始速度测试测量结果映射至网络需求（如吞吐量、延迟），再将这些需求映射至具有代表性的互联网使用场景（如视频流媒体或网页浏览），最终将各场景下的性能聚合为一个单一的IQB分数。IQB分数是一个介于0到1之间的综合指数，旨在以一种既可解释又可在不同地点间进行比较的方式来衡量整体互联网质量。我们通过开发一个开源的IQB库和一个原型Web应用程序，将IQB框架付诸实践。这些工具使我们能够大规模计算IQB分数，包括在国家、区域和城市层面聚合的全球估算值。本报告对IQB框架进行了初步敏感性分析，探究不同参数选择如何影响最终的IQB分数，识别框架最为敏感的参数，并强调可能导致异常值或潜在误导性结果的案例。