Essential Performance Metrics for Human Virtual Assistants

Mastering the Art of Optimising Human Virtual Assistants: Understanding Key Performance Indicators

Maximising Precision and Productivity in Virtual Assistance Services

Evaluating the precision and productivity of human virtual assistants (HVAs) stands as a pivotal task in determining their overall effectiveness and ability to meet user expectations effectively. Precision signifies the accuracy of the responses generated by these assistants, an essential factor in establishing user trust and ensuring satisfaction. Conversely, productivity measures the efficiency with which tasks are completed, a vital aspect as users increasingly demand swift resolutions. By utilizing these crucial metrics, organisations can scrutinise the performance of virtual assistants from two fundamental perspectives, thereby illuminating both their strengths and areas ripe for enhancement.

To accurately assess precision, organisations should adopt metrics such as the response correctness rate, error rate, and first-contact resolution rate. Meanwhile, when evaluating productivity, significant metrics include average handling time, tasks completed per hour, and response time. Each of these metrics contributes significantly to a comprehensive understanding of performance, empowering organisations to enhance their virtual assistant capabilities effectively.

• Response correctness rate
• Error rate
• First-contact resolution rate
• Average handling time
• Tasks completed per hour
• Response time

Ultimately, focusing on both precision and productivity establishes a robust framework for evaluating HVAs, empowering organisations to identify effectively their strengths and areas that require improvement.

Essential Metrics for Evaluating User Satisfaction Levels

User satisfaction emerges as a vital indicator of the effectiveness of virtual assistant services. Increased satisfaction levels often correlate with enhanced user engagement and loyalty. To measure user satisfaction accurately, organisations can employ various techniques, including surveys, Net Promoter Score (NPS), and customer feedback analysis. Each of these methodologies provides distinct insights into user experiences and perceptions, enabling a richer understanding of satisfaction.

Surveys enable organisations to collect direct feedback regarding specific aspects of the service, facilitating targeted enhancements. The NPS, a widely recognised metric, evaluates the likelihood of users recommending the service to others, reflecting overall satisfaction. Furthermore, analysing customer feedback through sentiment analysis can uncover trends in user sentiment and highlight areas needing improvement, leading to enhanced service delivery.

By leveraging these diverse methods, organisations can achieve a holistic view of user satisfaction, allowing businesses to adapt and refine their virtual assistant services continuously. Gaining insights into user preferences and needs fosters an environment conducive to ongoing enhancement, which is vital in an increasingly competitive marketplace.

Implementing Strategic Benchmarking for Optimal Virtual Assistant Performance

Benchmarking the performance of virtual assistants against industry standards represents a strategic approach for identifying areas of improvement and maintaining a competitive edge. By comparing performance metrics with established benchmarks, organisations can glean valuable insights into their operational effectiveness. Implementing effective benchmarking requires a systematic approach to guide organisations towards meaningful enhancements.

To begin, organisations must define relevant key performance indicators (KPIs) that align with their business objectives. Following this, they should gather performance data and compare it with industry standards or recognised best practices. This comparative analysis must be scrutinised to identify performance gaps. Finally, actionable insights gleaned from this analysis should inform improvement strategies, ensuring that the virtual assistants continually evolve and improve.

By adopting a methodical approach to benchmarking, organisations can cultivate a culture of continuous improvement, ensuring that their virtual assistants consistently deliver service excellence. Such practices not only bolster operational efficiency but also significantly contribute to the organisation’s overall success.

Expert Insights on Performance Metrics for Global Human Virtual Assistants

Implementing Best Practices for Performance Metrics Effectively

The consistent and effective application of performance metrics is crucial for maximising the utility of human virtual assistants. Embracing best practices provides a foundational framework for organisations to build a robust system for measuring performance. Real-world examples underscore the effectiveness of these best practices, showcasing their potential to drive significant improvements.

For instance, consider a global e-commerce company that successfully implemented performance metrics to enhance its customer support services provided by HVAs. By defining clear objectives and aligning metrics with user expectations, the company experienced substantial improvements in customer satisfaction scores. Regular training initiatives for virtual assistants, informed by performance data, ensured that feedback was seamlessly integrated into service delivery, fostering a culture of continuous improvement.

Moreover, adopting a balanced scorecard approach allows organisations to evaluate performance metrics from multiple perspectives, ensuring a comprehensive assessment. This method promotes a collaborative environment where insights are shared across teams, ultimately driving performance improvements and enhancing user experiences.

Organisations must also leverage technology by employing performance monitoring tools that provide real-time data analytics, enabling agile responses to any declines in performance. By adhering to these best practices, businesses can ensure that performance metrics serve as catalysts for ongoing enhancements in virtual assistant services.

Utilising Advanced Analytics for Enhanced Performance Measurement

Advanced analytics play a pivotal role in refining the evaluation of performance data for human virtual assistants. By leveraging sophisticated analytical tools, organisations can extract deeper insights into the operational effectiveness of their virtual assistants. A variety of tools can support this advanced analytics approach, ensuring comprehensive evaluation.

Data visualisation platforms empower organisations to transform raw data into easily interpretable visuals, illuminating trends and patterns within performance metrics. Predictive analytics tools can identify potential performance challenges before they manifest, facilitating proactive management. Additionally, machine learning algorithms can analyse extensive datasets to uncover correlations between various performance indicators, providing insights that traditional methods may overlook.

Incorporating these advanced analytics tools into virtual assistant services not only enhances performance measurement but also empowers organisations to make informed, data-driven decisions. The ability to swiftly adapt to evolving user needs and preferences is essential for maintaining a competitive advantage in the fast-paced realm of global virtual assistance.

Expert Strategies for Continuous Improvement in Virtual Assistance

Maintaining high performance levels in human virtual assistants necessitates a steadfast commitment to continuous improvement. Expert evaluations underscore the importance of a systematic approach to refining services for long-term success. Strategies for ongoing enhancement may include fostering a culture of feedback and encouraging collaboration within teams to drive effective performance.

Organisations should promote regular performance evaluations and encourage virtual assistants to seek constructive feedback from users. Integrating user feedback into training programmes can highlight areas for growth, ensuring that assistants develop in accordance with user expectations. Furthermore, conducting regular training sessions based on performance metrics supports targeted skill development, equipping virtual assistants to tackle specific challenges effectively and enhancing their overall service delivery.

Team collaboration is equally vital; sharing insights and best practices can lead to innovative solutions and improved service delivery. By embedding these strategies into their operational framework, organisations can ensure that their virtual assistant services remain responsive and effective, ultimately enhancing user satisfaction.

Global Benchmarking of Virtual Assistant Performance Metrics

Understanding the methodology behind global benchmarking of performance metrics for virtual assistants is crucial for organisations aiming to maintain competitive strength. Global benchmarking involves comparing an organisation's performance metrics against international standards and best practices, providing insights into areas ripe for enhancement and operational excellence.

Key performance indicators, including response times, user satisfaction scores, and task completion rates, serve as benchmarks that can be evaluated on a global scale. By identifying leading practices across various regions or industries, organisations can gain valuable insights into effective operational strategies and refine their own performance metrics accordingly.

Additionally, participating in international forums or industry groups can provide access to benchmarking studies and reports detailing performance standards across diverse sectors. By integrating these insights into their operational strategies, organisations can elevate their virtual assistant services, aligning them with global standards of excellence and ensuring sustained success.

How Can Performance Metrics Drive Improvement in Virtual Assistant Services?

Identifying Key Opportunities for Enhancement in Virtual Assistant Services

Performance metrics are instrumental in pinpointing specific areas where human virtual assistants require improvement. By analysing various metrics, organisations can devise targeted strategies for enhancement. Key metrics such as the error rate, average handling time, and customer feedback scores are particularly effective in identifying these critical areas.

For example, a high error rate may indicate a need for additional training on specific topics or tools. Conversely, an extended average handling time might suggest that virtual assistants struggle to navigate systems or that users require clearer instructions. By closely monitoring these metrics, organisations can promptly address performance declines, continually refining their virtual assistants’ capabilities and ensuring optimal user experiences.

Moreover, leveraging qualitative feedback from users provides essential context for the quantitative metrics. This dual approach fosters a comprehensive understanding of performance challenges, nurturing a culture of continuous improvement that is responsive to user needs and expectations, ultimately driving service excellence.

Establishing Realistic Performance Goals for Virtual Assistants

Setting realistic performance goals based on performance metrics is crucial for ensuring steady progress in the capabilities of human virtual assistants. Aligning these goals with broader business objectives guarantees that every improvement strategy contributes to the organisation’s overall mission and vision for success.

To establish achievable performance goals, organisations should first analyse historical performance data to set baseline metrics. Understanding current performance allows businesses to set incremental, realistic targets over specified timeframes. For instance, if the current average handling time is ten minutes, a practical goal might be to reduce it to eight minutes over the next six months, thus promoting continuous improvement and service efficiency.

Furthermore, involving virtual assistants in the goal-setting process fosters a sense of ownership and accountability, motivating them to strive towards the targets set. Regularly reviewing and adjusting these goals based on ongoing performance metrics ensures they remain relevant and ambitious, driving continuous improvement in service delivery and user satisfaction.

Creating Effective Feedback Loops for Continuous Improvement

Establishing effective feedback loops is vital for the continuous monitoring and adjustment of performance metrics within human virtual assistant services. Feedback loops facilitate dynamic information exchange that can significantly enhance service delivery. The following steps can be employed to create a robust feedback loop, driving performance enhancement and user satisfaction.

• Collect performance data regularly for comprehensive analysis.
• Solicit user feedback through surveys or direct communication.
• Analyse the data to identify trends and areas for improvement.
• Implement targeted changes based on insights gained.
• Monitor the impact of changes on performance metrics.
• Repeat the process to ensure ongoing improvement.

By integrating this iterative process into organisational practices, businesses can ensure that their virtual assistants continuously evolve and improve. This responsive approach not only enhances user satisfaction but also aligns with broader organisational objectives for excellence in service delivery.

Thorough Examination of User Interaction Data for Enhanced Performance

User interaction data provides invaluable insights into the performance of human virtual assistants. By analysing this data effectively, organisations can significantly enhance their virtual assistants' capabilities. Key methods for scrutinising user interaction data include tracking conversation trends, identifying frequently asked questions, and monitoring user engagement levels, all of which contribute to improved service delivery.

By employing data analytics tools, organisations can gather quantitative data on user interactions, revealing trends in user behaviour. For instance, recognising common queries can inform training programmes, ensuring that virtual assistants are equipped to address the most prevalent issues. Additionally, analysing user engagement levels can provide insights into how users interact with virtual assistants, pinpointing areas needing enhancement for improved user experiences.

Furthermore, employing sentiment analysis can help assess user satisfaction and emotional responses during interactions. By integrating these analytical methods, organisations can continuously refine their virtual assistant services, aligning them more closely with user needs and expectations, ultimately enhancing overall performance.

Accurate Evaluation of Customer Satisfaction Levels

Accurately assessing customer satisfaction is fundamental to gauging the effectiveness of human virtual assistants. Various methods can be employed to obtain a clear picture of user contentment with virtual assistant services. Techniques such as customer satisfaction surveys, Net Promoter Score (NPS), and sentiment analysis are widely utilised for this purpose, offering comprehensive insights into user experiences.

Customer satisfaction surveys empower organisations to collect direct feedback from users regarding their experiences with virtual assistants. NPS offers a straightforward measure of the likelihood that customers would recommend the service to others, providing insight into overall satisfaction. Additionally, sentiment analysis can uncover deeper insights into user attitudes, assessing whether interactions are perceived positively or negatively, thereby guiding service improvement initiatives.

By implementing these measurement techniques, organisations can develop a nuanced understanding of customer satisfaction. This feedback is crucial for informing training programmes and service enhancements, ensuring that virtual assistants evolve in accordance with user preferences and expectations, ultimately enhancing their effectiveness.

What Challenges Exist in Measuring the Performance of Virtual Assistants?

Tackling Data Collection and Accuracy Issues

Accurate data collection is essential for developing reliable performance metrics for human virtual assistants. However, challenges frequently arise in the process of gathering and validating this data. A significant challenge involves ensuring consistency in data across various platforms and interactions, which can lead to discrepancies in performance metrics and ultimately affect decision-making.

Another challenge includes the potential for bias in data collection methods. For instance, if user feedback predominantly comes from dissatisfied customers, the data may not accurately reflect overall satisfaction levels. Furthermore, technical issues or system outages can disrupt data collection processes, resulting in incomplete or inaccurate datasets that hinder effective evaluation.

To overcome these hurdles, organisations should implement robust data collection protocols, ensuring systematic and consistent data gathering. Employing multiple methods for data collection can also minimise bias, providing a more comprehensive view of performance metrics and enabling informed decision-making.

Challenges in Standardising Metrics Across Diverse Services

Standardising metrics across various virtual assistant services can be a complex endeavour. The absence of universally accepted performance metrics often results in inconsistencies in measurement, complicating comparisons across different platforms or industries. Achieving effective standardisation requires a collaborative approach that engages multiple stakeholders.

A viable strategy involves establishing clear guidelines and definitions for key performance indicators that can be adopted across diverse sectors. Engaging with industry bodies or consortia can facilitate the development of common standards, promoting greater consistency in performance measurement and assessment.

Additionally, organisations can leverage technology to create shared databases that track performance metrics across different virtual assistant services. By fostering collaboration and embracing technological solutions, businesses can work towards greater metric standardisation, enhancing the reliability and relevance of performance assessments across the board.

Balancing Quantitative and Qualitative Metrics for Comprehensive Evaluation

Achieving a balance between quantitative and qualitative metrics is crucial for a thorough evaluation of human virtual assistant performance. While quantitative metrics provide objective data on performance, qualitative metrics deliver valuable insights into user experiences and satisfaction levels, enriching the overall understanding of service effectiveness.

The optimal strategy for balancing these metrics involves integrating both types into the performance assessment framework. For example, organisations can utilise quantitative metrics such as response times and task completion rates alongside qualitative feedback from user surveys. This dual approach allows for a more comprehensive understanding of performance, encompassing measurable outcomes and user sentiments, ultimately driving service enhancements.

Organisations should also encourage a culture of feedback, where qualitative insights are valued and considered alongside quantitative data. By fostering this balance, businesses can develop a more nuanced view of their virtual assistant performance, driving continuous improvement and user satisfaction, which are critical for success.

Addressing Variability in User Interactions During Performance Measurement

Variability in how users interact with virtual assistants presents challenges in accurately measuring performance. Different user demographics, cultural contexts, and individual preferences lead to diverse interaction patterns, complicating performance assessments and necessitating tailored evaluation approaches. Taking this variability into account is crucial for effective evaluation and service delivery.

To tackle this challenge, organisations can segment user data based on demographics or interaction styles. By analysing performance metrics within these segments, businesses can identify trends and tailor their virtual assistant services accordingly to better meet user needs. Additionally, implementing machine learning algorithms can aid in understanding and predicting user behaviour based on historical interaction data, allowing for more informed service design.

Creating user personas can also guide the design and training of virtual assistants, ensuring they can cater to a broad range of user needs and preferences. By embracing the complexities of user interaction variability, organisations can enhance their performance measurement processes and improve virtual assistant effectiveness significantly.

Proven Strategies for Optimising Performance Metrics of Global Human Virtual Assistants

Strategic Planning and Effective Execution for Service Excellence

Strategic planning is essential for establishing clear objectives and executing plans that align with performance metrics for human virtual assistants. By following actionable steps, organisations can ensure their virtual assistant services align with overall business goals and user expectations effectively.

Initially, organisations should conduct a thorough analysis of current performance metrics to establish baseline standards. Next, they should define specific, measurable objectives that align with user needs and organisational aims. Implementing a project management framework can facilitate the systematic execution of these plans, ensuring consistent progress and accountability.

Regularly reviewing progress against these objectives is critical for adapting strategies as necessary. Moreover, fostering a culture of collaboration among teams ensures that insights and feedback are integrated into the planning and execution process. By embracing these strategies, businesses can enhance their virtual assistant services and improve overall performance, ultimately driving user satisfaction.

Developing Comprehensive Training Programmes for Virtual Assistants

Training programmes are crucial for enhancing the performance of human virtual assistants. Effective training methods ensure that virtual assistants remain well-informed about the latest tools, technologies, and user expectations, which is vital for optimal service delivery. Several approaches can be employed to increase training effectiveness and engagement.

Blended learning strategies, which combine online modules with in-person training sessions, can cater to different learning styles and preferences, ensuring comprehensive skill development. Role-playing exercises can also be utilised to simulate real-world scenarios, allowing virtual assistants to practice and refine their skills in a controlled environment, thereby boosting confidence and competence.

Continuous learning is vital; organisations should promote regular training updates based on performance metrics and user feedback. By employing these training strategies, businesses can ensure that their virtual assistants are adequately equipped to meet user needs effectively, driving satisfaction and engagement.

Conducting Performance Reviews and Implementing Necessary Changes

Performing regular performance reviews is essential for maintaining high standards among human virtual assistants. A systematic performance review process enables organisations to identify areas for improvement and implement necessary adjustments effectively. Key components of an effective performance review process include:

• Regularly scheduled performance evaluations to assess metrics and identify trends.
• Gathering user feedback to inform performance assessments and service enhancements.
• Setting clear action plans for improvement based on findings from reviews.
• Encouraging open dialogue between managers and virtual assistants to foster a culture of transparency.
• Tracking progress against established objectives and goals to ensure accountability.

By embedding these elements into the performance review process, organisations can cultivate a culture of accountability and continuous improvement. Regular reviews not only enhance performance but also contribute to higher levels of user satisfaction and engagement, ultimately benefiting the organisation.

What Tools and Technologies Enhance Effective Performance Metrics?

Utilising Performance Monitoring Software for Deeper Insights

Performance monitoring software is critical for tracking and analysing performance metrics of human virtual assistants. These software tools empower organisations to gather real-time data and generate insights that inform operational strategies and service enhancements. Key features of performance monitoring software include data visualisation capabilities, reporting functions, and integration with existing systems.

Data visualisation features enable organisations to present performance data in an easily digestible format, highlighting trends and areas for improvement. Reporting functions should allow for customised reports based on specific metrics, providing managers with actionable insights to drive decision-making. Moreover, integration capabilities with other tools, such as customer relationship management (CRM) systems, ensure seamless data flow and analysis, enhancing overall operational effectiveness.

By leveraging robust performance monitoring software, organisations can enhance their ability to assess and improve virtual assistant performance, ensuring optimal service delivery and user satisfaction.

Harnessing Data Analytics Platforms for Meaningful Insights

Data analytics platforms are crucial for processing extensive volumes of performance data, enabling organisations to derive meaningful insights from their virtual assistants' operations. These platforms can support advanced analytics, machine learning, and data visualisation, driving the assessment of performance metrics and service quality.

Integrating data analytics platforms into virtual assistant services allows organisations to aggregate data from various sources, offering a comprehensive view of performance. Furthermore, the use of predictive analytics can identify potential performance challenges before they escalate, enabling proactive management and ensuring consistent service excellence.

Organisations should prioritise scalability and ease of integration when selecting data analytics platforms, ensuring they can adapt to the evolving needs of their virtual assistant services. By effectively utilising these platforms, businesses can optimise performance measurement and drive continuous improvement, ultimately enhancing user experiences and satisfaction.

Embracing AI and Machine Learning Applications for Improved Performance Metrics

Artificial intelligence (AI) and machine learning applications can significantly enhance the accuracy and efficiency of performance metrics for human virtual assistants. These technologies empower organisations to analyse performance data at scale, uncovering patterns that inform service enhancements and user engagement strategies.

For instance, machine learning algorithms can process user interaction data to predict future behaviours and preferences, allowing virtual assistants to deliver more tailored and relevant responses. AI-driven analytics can also identify correlations between different performance metrics, offering insights that inform strategic decision-making and service design.

Embracing AI and machine learning applications empowers organisations to continuously improve their virtual assistant services. By leveraging these technologies, businesses can enhance the precision and relevance of their performance metrics, ultimately driving user satisfaction and operational efficiency.

Leveraging Cloud-Based Performance Solutions for Scalability

Cloud-based performance solutions provide scalable and accessible methods for managing performance metrics in human virtual assistants. These technologies enable organisations to securely store and process performance data while offering real-time access to insights and analytics, facilitating informed decision-making and service enhancements.

Cloud solutions facilitate collaboration among teams, allowing stakeholders to access performance metrics and analytics from anywhere in the world. This flexibility is particularly crucial for organisations with distributed teams or global operations, ensuring that performance monitoring is seamless and efficient. Additionally, cloud-based solutions often include advanced security features, ensuring the protection of sensitive data and compliance with relevant regulations.

By leveraging cloud-based performance solutions, organisations can optimise their virtual assistant services, ensuring that performance metrics are effectively managed and analysed in real-time, ultimately driving service excellence and user satisfaction.

How Do Performance Metrics Influence Business Outcomes?

Impact on Customer Service Quality and Satisfaction

Performance metrics have a direct correlation with the quality of customer service provided by human virtual assistants. By analysing these metrics, organisations can identify areas for improvement, resulting in enhanced service delivery and user experiences. Enhancements in metrics such as response times, precision, and user satisfaction directly contribute to better customer service outcomes.

For example, a decrease in average handling time can lead to quicker resolutions for customer inquiries, fostering a more favourable user experience. Furthermore, high levels of accuracy in responses contribute to user trust and satisfaction, which are essential for nurturing long-term customer loyalty and retention.

Organisations that prioritise performance metrics and leverage them to drive service improvements can anticipate tangible enhancements in customer service quality, leading to increased user engagement and retention, ultimately benefitting their overall business goals.

Enhancing Cost Efficiency and Resource Allocation

Effective performance metrics can significantly improve cost management and resource allocation within organisations. By identifying inefficiencies through performance data, businesses can optimise their operational processes, leading to reduced expenses and enhanced resource utilisation. This strategic approach directly contributes to the bottom line.

Key metrics such as average handling time and task completion rates enable organisations to pinpoint inefficiencies and implement targeted improvement strategies. For instance, if performance metrics indicate that certain tasks consistently take longer than expected, organisations can reallocate resources or invest in additional training to address these challenges, thus driving efficiency and effectiveness.

By utilising performance metrics to drive cost efficiency, organisations can enhance their overall operational effectiveness, leading to improved profitability and sustainability in an increasingly competitive marketplace.

Supporting Long-term Business Growth Through Performance Metrics

Performance metrics play a vital role in supporting long-term business growth by ensuring continuous improvement in human virtual assistant services. By consistently monitoring and refining performance metrics, organisations can adapt to changing user needs and preferences, positioning themselves for sustained success and relevance in the market.

Metrics provide a foundation for strategic business planning, informing decisions related to resource allocation, training, and service enhancements. By prioritising performance metrics within their operational strategies, organisations can cultivate a culture of agility and innovation that drives business growth, ensuring they remain competitive in a rapidly evolving landscape.

Ultimately, organisations that recognise the value of performance metrics are better equipped to navigate the complexities of the global market, ensuring their virtual assistant services remain relevant, effective, and aligned with user expectations.

Frequently Asked Questions (FAQs)

What are the performance metrics for human virtual assistants?

Performance metrics are standards utilised to evaluate the effectiveness of human virtual assistants, encompassing precision, productivity, user satisfaction, and cost-effectiveness across various service channels.

How can I measure user satisfaction with virtual assistants?

User satisfaction can be measured through surveys, Net Promoter Score (NPS), and sentiment analysis of customer feedback to gauge overall contentment and areas for improvement.

What are some key performance indicators (KPIs) for virtual assistants?

Key performance indicators include response correctness rate, average handling time, first-contact resolution rate, and user satisfaction scores, all of which are essential for measuring effectiveness.

What is benchmarking in virtual assistant performance?

Benchmarking involves comparing a virtual assistant's performance metrics against industry standards to identify strengths and areas for improvement, facilitating strategic enhancements.

What tools can support performance measurement?

Performance monitoring software, data analytics platforms, and AI applications are essential tools for effectively measuring and analysing performance metrics, driving continuous improvement.

How can organisations enhance virtual assistant training?

Organisations can enhance training through blended learning strategies, role-playing exercises, and continuous learning based on performance metrics and user feedback.

What challenges exist in measuring virtual assistant performance?

Challenges include data collection accuracy, standardisation of metrics, balancing quantitative and qualitative data, and variability in user interactions, which can complicate performance assessments.

How do performance metrics influence customer service quality?

Performance metrics directly impact customer service quality by highlighting areas for improvement, leading to enhanced user experiences, satisfaction, and overall service effectiveness.

What role do AI and machine learning play in performance measurement?

AI and machine learning enhance performance measurement by providing deeper insights through predictive analytics and identifying patterns in user data, facilitating informed decision-making.

How does performance measurement contribute to business growth?

Effective performance measurement supports long-term business growth by ensuring continuous improvement and aligning services with user needs and preferences, fostering a culture of agility and responsiveness.

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The Article Performance Metrics for Worldwide Human Virtual Assistants First Published On: https://vagods.co.uk