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The three Vs of today’s chatbots: Voice, Vernacular and Video

3 minutes, 28 seconds read

More than 70% of consumers in Australia, the UK and France and over 50% in the US and Germany report interacting with chatbots at least once during the last year. A recent study by Forrester states that 57% of the organizations globally are already using chatbots indicating the organizations’ affinity towards helpdesk and customer support automation.

In today’s time, where meeting people face-to-face to close deals is dubious; chatbots with voice, vernacular (multilingual), and video emerge as a savior. Especially for SMEs, where persuasion plays a key role in signing a contract, chatbots with video conferencing features and local language support can make conversations more seamless.

Let’s delve deeper into the voice, vernacular and video conferencing features of chatbots and their use cases.

Voice-enabled chatbots

Voice-enabled chatbots or simply voice chatbots can interact with users via text or voice commands. Based on the input command type (voice/text), these bots reply to the user accordingly. 

In India, nearly 30% of Google searches made in 2019 were voice-based. Moreover, Google Assistant recognizes Hindi as the second-most utilized language for voice globally. Chatbots enabled with voice add accessibility to a wider range of customer base. Voice-based conversational chatbots add speed to processing the command as it need not wait for the user to type the query. 

Businesses like beauty & spa, healthcare, travel, FMCG, Restaurants, and many more can use voice-driven chatbots to answer customer queries and automate their helpdesk tasks.

Vernacular language support or multilingual chatbots

A study by KPMG and Google reveals that the native Indian language user base will reach 536 million by 2021. The study conducted in 2017 highlights some of the most critical internet challenges faced by the Indian diverse populace:

  • 70% of Indians face challenges in using English keyboards.
  • 60% of Indians find limited language support to be the barrier to adopting digital technologies.
  • 88% of users are more likely to respond to a digital advertisement in their local language as compared to English.
  • Nearly 25% of the Indian language internet users face challenges concerning the use of e-commerce payment interfaces, leading to dropouts at the time of final checkouts.

The above data indicates the need for multilingual support in any customer-facing application. In fact, by next year, nearly 75% of internet users in India would be a vernacular content user base. Brands like Godrej have already started leveraging regional language on its website. Multilingual chatbots can personalize conversations and make the technology more adaptable to the native users. 

Indian chatbots like Hitee (designed for Indian SMEs) support several Indian regional languages including Hindi, Tamil, Bengali, Telugu, Gujarati, Kannada and Malayalam.

AI Chatbot in Insurance Report

AI in Insurance will value at $36B by 2026. Chatbots will occupy 40% of overall deployment, predominantly within customer service roles.
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Video conferencing chatbots

In the backdrop of COVID-19 pandemic, travel restrictions will pertain long. Therefore, most of the personal interactions will be made through video conferencing software. Video bots vs video conferencing software: For a growing business, scheduling/setting up meetings for every customer can be tedious. Especially when the meetings are regarding product demo, sampling, FAQs, it completely makes sense to opt for automation. This way, business owners can release their time for critical business decisions.

For example, manufacturing businesses/wholesalers can record the product demo, include them into the chatbot workflow and relieve themselves of the routine demonstrations.

Usually, private clinics maintain a register/excel for noting down the appointments of the day. Then, they switch to a platform that supports video chats (WhatsApp, Skype, Google Duo, Zoom) to consult patients. Missing an appointment/patient record, communication gap, etc. are very common in this scenario. 

Thus, private healthcare practitioners can use chatbots to schedule appointments automatically and converse with patients through the same chatbot interface. 

Similarly, stockbrokers, wealth managers, legal consultants, finance service providers, tour operators, and tax consultants can use video conferencing chatbots for different levels of engagement with their clients. 

Read more: Conversational Chatbots for SMEs to continue business from home

Enterprise chatbots can integrate with the organization’s workflows to make them capable of routing customer queries to relevant teams/agents whenever the need arises. Bots with video conferencing features can extend support to Video KYCs by automating document collection and verification processes using in-built facial recognition mechanisms. This can help businesses (BFSI, NBFC) speed-up their customer onboarding process.

Need a chatbot for your business? Check out Hitee — a Make-in-India conversational chatbot that coverts 5X more leads!

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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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