Evaluating Quality of Chatbots and Intelligent Conversational Agents

Evaluating Quality of Chatbots and Intelligent Conversational Agents

Home » Blog » Evaluating Quality of Chatbots and Intelligent Conversational Agents

Evaluating Quality of Chatbots and Intelligent Conversational Agents

Author – Aparajita Tiwari (Program Manager)

Businesses require efficient chatbots and intelligent conversational agents in order to enhance customer experience and upscale their business. Many times, there is a struggle in building intelligent chatbots that can comprehend user intent and respond accordingly. Here is a list of various methods, processes, and tools that can be used by businesses in analyzing and enhancing the quality of chatbots and conversational AI.

Introduction:

Chatbots and conversational AI agents are being used by businesses to simulate human-like conversations with their customers using voice or text. The use of intelligent conversational agents reduces the burden on employees and negates the chances of an unpleasant customer experience. It is important for conversational ai chatbots to be emotionally intelligent to enhance customer experience and upscale business. This is where testing of conversational ai chatbots comes into the picture. They are mostly used in virtual assistance and can be improved by companies using artificial intelligence (AI) and machine learning.

Difference Between a Traditional Chatbot and Conversational Chatbot:

Businesses require efficient chatbots and intelligent conversational agents in order to enhance customer experience and upscale their business. Many times, there is a struggle in building intelligent chatbots that can comprehend user intent and respond accordingly. Here is a list of various methods, processes, and tools that can be used by businesses in analyzing and enhancing the quality of chatbots and conversational AI.

Chatbots and conversational AI are terms often used interchangeably. Chatbots are computer programs designed using natural language input to simulate human-like conversations with users in the form of text or voice, especially over the internet. They are rule-based, that is, chatbots are trained to answer only a specific set of questions, such as FAQs. Conversational AI agents, on the other hand, are smarter than chatbots as they use artificial intelligence and machine learning to make chatbots more capable of human conversations. They are more efficient at spotting patterns and making recommendations. Hence, chatbots require conversational AI to become smarter and more powerful.

Important Benefits of integrating AI Conversational Agents into your business:

Customer service chats and commercial social media interactions in businesses are increasingly being managed by intelligent conversational agents. Businesses can tackle customer interactions with accuracy by incorporating quality chatbots. A conversational AI chatbot can be designed through AI and machine learning to be emotionally intelligent and relevant to local culture. Some key benefits of using conversational bots in businesses are:

 

Why is Quality Evaluation of Conversational AI Important:

Conversational AI chatbots become an interface for businesses through which they interact with end users. It is important that these conversational agents understand the context of conversations and are sentimental so as to provide customer satisfaction. An emotionally intelligent chatbot forms stronger relationships with people.

How to test emotionally intelligent chatbots:

Integrating AI with emotional intelligence (EI) enables intelligent conversational agents to detect emotions in conversations and respond to them accordingly. While machine learning algorithms are used to make classifications or predictions, Testing conversational ai chatbots for EI can be done on the basis of input data, such as a questionnaire for shopping assistance and analyzing the accuracy and sensibility of the answers generated. A quality conversational bot will integrate AI and machine learning to detect the pattern of the conversation and make effective recommendations accordingly.

Quality Metrics of Conversational AI and AI Chatbot:

To maximize the potential of your chatbots and conversational AI, you will need to measure their performance. The following metrics can be used to measure the quality of chatbots:

Conversational AI agents are chatbots made more accurate and intelligent using AI and machine learning. The following metrics can be used to measure the quality of Conversational AI:

Phases of testing a chatbot:

Chatbot testing is complex and does not have a one-size-fits-all approach. Successful chatbot testing is done in two phases:

Methods of Testing a chatbot:

Chatbot testing is done by creating all possible scenarios that can take place in the conversation with the user. It is different from traditional software or mobile app testing as there is no predefined data to run through the chatbot analytics. Methods of chatbot testing are as follows:

Conversational Design testing:

This method uses tools to understand the basic user input and intent and verify the chatbot on conversation flow, intent, response, casual talk, fallback, navigation, and emotions. It tests the chatbot for the tonality of the conversation, such as positive responses, negative responses and expressions. It checks how the bot improves user experience through casual conversations and its efficiency to answer irrelevant questions in between a conversation. It creates chatbot testing scenarios for navigational cases, such as the user wanting to skip the conversation and cancel the order, and sees whether the chatbot can handle such cases. It also checks whether the chatbot is trained to understand emotions, such as happiness, anger, sadness, etc., and is able to respond accordingly.

Entities testing:

This uses entities or keywords from training phrases to check the efficiency of chatbots. In this process, the bot requests information to fulfill the user’s request. The data is used to fetch relevant information and the results are then shared with the user as a response. User acceptance testing is important to ensure the chatbot’s quality. Testing the chatbot with a number of users vastly improves the quality of the chatbot.

Tools to test the quality of a chatbot

Some of the key tools to test the quality of a chatbot are as follows:

Process of Testing an AI Chatbot:

The following process can be used in testing conversational AI chatbots:

Chatbot testing is done by creating all possible scenarios that can take place in the conversation with the user. It is different from traditional software or mobile app testing as there is no predefined data to run through the chatbot analytics. Methods of chatbot testing are as follows:

Tools to Test the Quality of a Conversational AI Chatbot:

Some of the conversational AI chatbots testing tools are:

How Conversation AI Works in AI Chatbot?

Conversational AI in AI chatbots uses deep learning algorithms and part of machine learning techniques, to imitate human responses and handle user queries. They learn from real interactions and can be trained easily using historical data. They respond to each question based on their understanding and learning acquired through the machine learning engine.

Conclusion

The quality of an AI chatbot boils down to its accuracy, precision, sensibility and specificity. AI Conversational bots are a faster way of conversing with customers and deliver greater customer satisfaction. Their ability to understand conversations outside pre-programmed commands and easily hold engaging conversations with customers are the reasons why their use in the business landscape is increasing rapidly.

 

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Growth Triangle | Trust, Quality and Skills

Growth Triangle | Trust, Quality and Skills

Home » Blog » Growth Triangle | Trust, Quality and Skills

Growth Triangle | Trust, Quality and Skills

Author – Nitin Mittal (VP of Sales) 

In today’s digital market, businesses are continually scaling their offerings portfolio and essentially realigning their internal organisational structure with strong emphasis on core principles like trust, skills, and quality of delivery. When an organisation has its workforce aligned towards delivering quality outcomes, it becomes trustworthy inside-out for both employees and clients.

To ensure delivery excellence for customers, attribute that weighs most is skills amongst workforce. Skilled professionals are true assets to organisations and perform major roles in project delivery, customer retention and acquisition.

Aligning skilled professionals towards the team goals is essential to achieve delivery excellence. Having skilled team members unchanneled is like 2 strong horses pulling a cart in opposite directions. The cart can only progress if both horses pull it in a same direction.

 

Trust quality skill bg image 01

When skilled professionals work as a team, they learn about each other’s strengths and weaknesses and work with an agenda of complimenting each other, thereby developing confidence among themselves. Team members begin relying on each other’s ability to deliver, which creates a work culture built on trust. Additionally, confidence in team also encourages upskilling, leading to improved performance and productivity of personnel. As a result, within a team of professionals, everybody grows as an individual. Consequently, faith among skilled professionals within an organisation yields premium quality products or services.

When business outcomes are channelled towards excellence in delivery, it effortlessly cultivates customers’ trust in the business. Resulting in trust within the organisation and in customers.

“According to statistics, around 72-73% of consumers say a good experience is key in inducing their brand loyalty.”

Quality work is initiated by commitment and a positive mindset towards completing tasks to the best of your abilities. When team constantly acquires new skills, they inspire each other and constantly push themselves towards levelling up their skills. It not only improves quality of work but also induces trust in the brand. Moreover, a team comprised of skilled professionals with a vision of achieving a common business objective gains confidence and works effectively without supervision from leaders, which is one of the greatest benefits of working as a team.

In this competitive market world, success of a business is dependent on work culture, internal organisational structure and employees’ skillsets. That is why organisations are constantly expanding their offering portfolios and focusing on realigning their organisational structure and core principles around delivery excellence.

 

 

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Then – Unity in Diversity | Now – Success in Diversity

Then – Unity in Diversity | Now – Success in Diversity

Home » Blog » Then – Unity in Diversity | Now – Success in Diversity

Then – Unity in Diversity | Now – Success in Diversity

Mahatma Gandhi once stated-

Our ability to reach unity in diversity will be the beauty and the test of our civilization

Increasing your workplace diversity is not just a hollow catchphrase but also is the need of the hour for good business. According to McKinsey research conducted on 366 public companies, companies in the top quartile for ethnic and racial diversity, were 35% more likely to have financial returns above their industry mean, while those for gender diversity were 15% more likely to have returns above the industry mean.

Today, diversity has become one of the most essential business practices and is not just adopted but engrained in cultures of all successful organizations. Collaboration between individuals from distinct educational backgrounds, professions, skills, personas, gender, race, ethnicity, religions, and geographical regions, enhances value of business decisions in terms of, understanding and decision-making.

Diversity produces creative thinking and leads to organic innovation.  This assists organizations in enhancing company culture, building brand value, nurturing diverse problem-solving skills, and maximizing employee engagement.

In fact, Diversity is reaching to a new dimension where many organizations are exploring diversity beyond the backgrounds, skills, gender and race but of the personas mix within their teams, personas mix such as Idealist, Critical Thinker, Realist and Critic, have also proven as a successful strategy to achieve greater performance and resulted higher job satisfaction rate with enhanced trust among the employees.

Here are a few interesting facts due to a diverse workforce, organizations have observed


Innovation Revenue than others


 Higher Team Productivity 


Job Satisfaction and Employee Retention

For a smarter functioning, variety in thinking ways and ideas are necessary.  Professionals working in a team built on different cultures and ideologies, have proven to find best possible way to excel at assignments addressed to them. This allows organizations to deliver world-class products or services to its customers and fosters an environment that encourages best-in-class innovation. According to Harvard Business Review, varied teams can also result in better problem-solving and decision-making. The more differences a team has in opinions, and perspectives, Higher is the experience shared.The ability to approach problems from several angles and ideate a solution is the root of every innovation. Furthermore, being disparate at work boosts employee engagement and morale, which is one of its main advantages. Even on its own, workforce diversity can induce higher productivity and resilience. Moreover, hiring a diverse workforce can help organisations to stand out and results in a stable clientele.

The diverse nature enables in understanding clients’ requirements in detail from numerous perspectives and can channel marketing and sales effort towards audiences with diverse cultures, practices, and backgrounds.

Empowering people with different personas, abilities, experience, language, and nationality, adds a powerful essence to organizational work ethics, culture, team integrity and productivity. Diverse workforce has become one of the highest rated critical success factors for organizations that are striving to minimize employee attrition rate, land large customers, increase workforce productivity and expand revenue portfolio. IGS believes in embracing diversity and takes it as one of its core values.

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Customer Acquisition Strategy: Work Ethics Impact

Customer Acquisition Strategy: Work Ethics Impact

Home » Blog » Customer Acquisition Strategy: Work Ethics Impact

Customer Acquisition Strategy: Work Ethics Impact

 

Recently, we conducted a poll on LinkedIn to understand views of professionals on what helps build an organization’s brand value. Ethics ranked #1, followed by Career upliftment, Customer prioritization, and Creating a social impact respectively.
Results provided a clear picture of the importance of work ethics among professionals and the benefits it adds to brand enhancement. Considering Ethics receiving the highest ranking, we would like to share IGS’s perspective on the essence of work ethics.

Let’s analyze the perspectives of the participants and understand the importance and benefits of work ethics:

With work ethics being a necessity as it defines business values, it becomes imperative for business organizations to follow essential business practices, which can lead them toward achieving their goals. Practicing work ethics may not show results instantly, but there are certainly long-term benefits. Business ethics are essential not only inside the organization but also in social, cultural, and business aspects.

Work ethics can be defined as a set of rules, regulations, and advisories followed by organizations. Maintaining general work ethics can have numerous advantages, which include improving brand image and customer acquisition ratio, leading to customer loyalty and brand recognition.

In view of solidifying an organization’s brand image, we recognized the following characteristics that would help:

The Right Way of Doing Business

Right way to do business

Unbiased decision-making is a major component of standardized enterprise-grade work ethics. Organizations must ensure that all constituents receive equal service and that their behavior aligns with professional standards and principles.

When handling client projects, it becomes essential to follow set principles. Adhering to principles makes managing project deliverables easier, resulting in client satisfaction and ultimately leading to a higher client conversion rate.
The basic principle of work ethics when handling a client project is: Do not promise what you cannot deliver. Any promise made to the client must be handled with utmost care and dedication, as delays or failures can harm the business’s reputation. Hence, all organizational policies and standards should be clearly articulated and widely disseminated.

Unbiased Behavior

Unbiased behavior

Principles form the foundation of work ethics. They make organizations unbiased and accountable for their actions, fostering transparency and aiding in establishing a reputation as a loyal, trustworthy brand.

Work ethics help organizations make fair decisions, whether in client projects, hiring processes, or organizational operations. They develop a sense of equity among everyone involved in the process.

 

Equitable Access

Equitable access

Work ethics are no longer secondary but have become primary etiquettes representing the organization in society. Equitable access ensures employees and clients feel valued, creating a sense of integrity throughout the process.

It ensures organizations make fair decisions without any kind of influence, eradicating discrimination based on race, gender, ethnicity, sexual orientation, faith, national origin, impairment, age, economic status, or veteran status. It creates equal access to services and opportunities for everyone.

Compliance with the Law of the Land

Compliance

Compliance with standardized laws is another major component of organizational work ethics. As businesses handle clients and customers, maintaining data privacy is crucial. Breaches can result in penalties, lawsuits, project loss, and damage to the business’s reputation.

When businesses comply with standard rules, regulations, and policies, clients feel secure and are more likely to maintain long-term contracts. Compliance also improves brand reputation, essential for attracting prospects.

Confidentiality and Non-Disclosures

Confidentiality

In the digital age, ensuring end-to-end security and confidentiality of client and customer data is crucial. This also applies to employees, job applicants, and service partners.

All personal information regarding services, programs, background, and resources must be kept private. Failure to uphold confidentiality can challenge business growth.

To conclude, from maintaining a healthy work environment to ensuring a proper organizational structure, work ethics represent the authenticity of a brand, ultimately leading to brand building and client conversions.
At IGS, we believe work ethics are essential for functioning effectively. Our workforce and commitment to critical work ethics make us one of the leading premium global quality engineering teams. Our brand objectives are integrity, innovation, building high-performance teams, leadership, and inclusion, all supported by our strong work ethics.

 

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Cyber Risk Management in Core Banking System

Cyber Risk Management in Core Banking System

Home » Blog » Cyber Risk Management in Core Banking System

Cyber Risk Management in Core Banking System

How risk-free is your financial environment?

The latent occurring of risk and its impact is reduced by Risk Management. Risk Management circumscribes the process of identification, analyzing, controlling & reviewing risks to the business. It is imperative for any business to respond to the risks and usually the response takes one of the embodiments such as Acceptance, Avoidance and Mitigation. Organizations that do not have a well-thought out Risk Management Strategy are exposed to financial & reputational losses.

Key pillars of Risk Management:

Assessment: The risks should be proactively assessed by leveraging techniques & controls like threat modeling.

Acceptance: Based on the risk-appetite of an organization informed decisions have to be made with regard to tolerance for risk exposure.

Strategy: A comprehensive strategy should be crafted for prevention & mitigation of risks.

Action: A set of suitable actions have to be performed as per the strategy.

Mitigation: Plans for responding to security breaches have to be established a priori.

The Banking sector and financial institutions are most conducive for various risks and threats. Typically, risks are from Cyber Criminals and vulnerable breaches.

A look at the magnitude of exposure in this sector: On an average, there is an attempted ransomware attack once every 11 seconds! Some of these attacks are resulting in millions of dollars of losses to the banks across the globe, every month.

Magnitude of the risk

Banks carry 91% of the Cyber risks while insurance companies carry 7%. Drilling deeper, among banks, retail banking carries 39% of the total risks and credit cards account for 25%. The associated data breaches could impose huge penalties on the institutions. For example, GDPR perpetrators could charge penalty of up to 4% of the worldwide enterprise revenue.

An Example:

One of the Big Banks in the Asia pacific wanted to reduce the overall cyber risks by having appropriate controls as part of the risk management strategy. Security experts at IGS crafted and implemented a world-class security solution encompassing threat modelling, SCA, SAST, DAST, VAPT, DevSecOps and so on. Also, they automated loan processing system end-to-end with effective security controls. This resulted in reduction of security risks by over 60% along with reduction of loan application processing time by about 75%.

Click here to learn more about IGS security services

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