Remove Benchmark Remove Calibration Remove Metrics
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10 Key Metrics and KPI’s for Contact Centre Performance

Call Design

Understanding how to make a profit on the double bottom line (DBL) involves employing a broad range of KPIs and key metrics to ensure a contact centre meets every need that a business may have in supporting their customers. of the 380 contact centre professionals they asked thought customer satisfaction was one of the most important metrics.

Metrics 148
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How SaaS Unicorn Pipedrive Uses Klaus, Aircall & Intercom to Provide Excellent Customer Service

aircall

Before using Klaus: CSAT was 95% – above 2022’s benchmark of 89%. IQS measured 86% – slightly below 2022’s benchmark of 89%. These metrics are very commendable, but Pipedrive wanted to raise the bar even higher. Maintaining fair and consistent grading with regular calibration sessions. With Klaus, they: 1.

SaaS 62
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Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances

AWS Machine Learning

Refer to the appendix for instance details and benchmark data. Import intel extensions for PyTorch to help with quantization and optimization and import torch for array manipulations: import intel_extension_for_pytorch as ipex import torch Apply model calibration for 100 iterations. Refer to invoke-INT8.py py and invoke-FP32.py

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RevealCX Achieves Platinum Partner in COPC Inc.’s ATP Program

COPC

The innovative technology aligns quality results with the customer experience and key business metrics. RevealCX enables quality management best practices in all areas such as calibration, closed-loop feedback, action planning and robust analytics to drive performance improvement efforts. About COPC Inc.

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Hyper Efficiency: The Next Frontier in Contact Center Operations Management

NobelBiz

As we will see, this can include strategies like automation, data analytics, digital transformation initiatives, and continuous improvement programs aimed at achieving measurable performance improvements beyond traditional metrics. These metrics should be data-driven, allowing you to identify areas of improvement and track progress over time.

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Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

AWS Machine Learning

The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics. To evaluate the performance of the models, we used multiple techniques.

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9 Contact Center Best Practices for 2020 (and Actionable Tips)

Serenova

You’ll improve customer experience metrics like average handle time and first call resolution. Performance Management for setting personal targets, benchmarks and achievements for each agent to deliver positive customer interactions. Calibrate regularly. Metrics Focused on Customer Experience. Support and Motivate Agents.