Sentence examples similar to higher level metrics from inspiring English sources

Lack of deep data: We were just able to pull high level metrics such as increased interest in STEM, overall reach, contact hours etc.

In the valence block, we observed that as the valence level increased linearly from the low to the high level, metrics such as the edge weight, peak velocity, time course curves of peak velocity (TCC_PKV) and saccade angle showed positive linear trends, while the pupil size and papillary reflex curves showed negative linear trends.

TO: This strikes me as a dashboard for high-level metrics.

Instead, Stride is about deal-tracking and high-level metrics only.

We can also monitor and use high-level metrics, as illustrated in the trace abstractor section ("Detection algorithm" section).

"The idea is to give publishers a really clear and comprehensive view of those high-level metrics to their business," she says.

Conventional portfolio planning techniques are likely to be of little help here, as they typically reflect the customers' perspective only indirectly, via high-level metrics such as market growth rate.

We then evaluate the interaction of PCDM with a real SMT-based SMP system, using both high-level metrics, such as execution time, and low-level information from hardware performance counters.

Over the subsequent year and a half, we struggled to refine the product's purpose and bolster its central value proposition with better functionality and design, but we were ultimately unable to make it work (with user registration growth and engagement being our two main high-level metrics).

This paper describes our progress towards this goal, including a tool for generating a wide range of negotiation scenarios, a set of high-level metrics for characterizing how negotiation scenarios differ, a testbed environment for evaluating protocol performance with different scenarios, and a community repository which allows us to systematically record and analyze protocol performance data.

Our goal was to reduce the severe data requirements of traditional EFA by using more proxy indicators as well as combining indicators into higher-level metrics.