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Speech is the next UX

“We’ve seen more progress in this technology in the last 30 months than we saw in the last 30 years. Ultimately vocal computing is replacing the traditional graphical user interface.” -Shawn DuBravac

Interface design enables humans to experience and interact with technology. Interestingly, Voice User Interface (VUI), is the ability to speak to devices and its capability, in turn, to understand and act upon users’ commands. 

Voice user interface: the next-gen of UX

Augmenting human intelligence is a lot more daunting than it looks. The difficulty of mimicking human cognition with software is showing Artificial Intelligence researchers that there’s more than one way to be “intelligent”. The rise of voice can be mainly credited to the evolution of AI and cloud computing capabilities. With machine learning and natural language processing, technology now has the ability to interpret human speech more accurately and in real-time, while also taking note of individual users’ speech tendencies.

This sans-hands method of interaction is rapidly gaining traction. With an approach that is more convenient and human-like, VUI is becoming the next generation of human-computer interaction. From asking Siri to book your appointment with the doc next Monday to asking Alexa to play your favourite show on Amazon Prime; the act of using voice commands has become increasingly natural for users.

At the Google I/O 2018 event, CEO Sundar Pichai demoed Google Duplex: A.I. Assistant calling a local business to make an appointment. The eerily lifelike phone call triggered a wave of intrigue and laughter in the 7,000-strong audience. 





Designing a Voice User Interface

Accurate natural language processing has until now existed only in the realm of science fiction. Voice represents the new pinnacle of intuitive interfaces that democratize the use of technology. However tech is still in its nascent stages and not the ultimate incarnation of the medium, but yet it’s currently a strong favourite.

For web and application designers, voice interaction, perhaps, is the biggest UX challenge since the dawn of the touchscreen age. Every voice recognition platform has a unique set of technological constraints. It is essential that you embrace these constraints when architecting a voice interaction UX.

The basic voice UX flow

Speech is the next UX the basic UX flow.

UX was always designed to make interactions as similar to the real world as can be and voice has the potential to make that a reality. UX designers must make sure they’re asking the right questions to elicit the appropriate verbal responses from users. Gender, age, inflexion, tone, accent, cadence and pace are all elements that can be used by UX designers seeking to craft a particular customer experience with their brand.

Below is the sample flow demonstrating the process of speech recognition

A more viable approach could be to prioritize and summarize the information based on known user preferences, prior to delivering an answer – in other words, doing what a normal person would naturally do in a conversation

More complex queries, at times, fall further off the cliff. Risking unpleasant interactions is something brands can rarely afford. Keeping this in mind, error messages could be crafted in a way that’s not only less annoying but also gets users back on track while presenting additional options.

Can we expect a ‘humane’ VUI?

In this age of expected instant gratification, it’s hard to imagine an average user patiently listening to their AI assistant as it narrates a laundry list of all continental restaurants one by one. We want our voice interactions to be as immediate as human alternatives.

VUI’s are extremely complex, multifaceted, and often hybrid amalgams of interaction. Voice interaction may not have garnered the same fanfare just yet. However, for the time being, the creation of a multi-model interface can ignite the furnace for an all-voice controlled interface. 

Will VUIs eventually become our primary means of interaction?

Let us know your views by commenting.

Fun fact

Celebrities are likely to find a brand new income stream from licensing not just their voices, but entire personalities as AI assistants. Sounds ridiculous? It does, but you can already pay about $10 to make your TomTom GPS nav unit speak like Snoop Dogg. Go for it!

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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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