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Google I/O 2018, Day 1: Key focus on Android and AI

The first day of the Google I/O 2018 consisted over 5,000 developers, designers, and managers gathered at Shoreline, Amphitheatre to witness the opening day with a keynote by Google CEO Sundar Pichai.

 Let’s dive into the key announcements that were made!

Google I/O: Android P

Google launched Android P, the latest version of the operating system that runs on Android devices. The Android P beta is available for certain devices such as the Essential Phone, Google Pixel 2, Nokia 7 plus, Sony Xperia XZ2, Vivo and Xiaomi Mi Mix 2S. Users of these devices can update to Android P beta immediately. There are a bunch of features that Google added to Android P.

  • Shush: This feature ensures that there are no notifications coming in from your apps when your phone is turned face down.
  • App Dashboard: This is a dashboard that shows how much time you spend on your apps each day. This allows you to know which apps you spend so much time on.
  • App Timer: With the app timer, you’d get a notification when you spend more than the allocated time specified for engaging with an app.
  • Slices and Actions: A slice is a piece of app content and action that can be surfaced outside of the app without opening the app itself. They are UI templates that can display rich and interactive content from your app within the Google Search app.

Google I/O: AI in Google

Google AI

Google has worked hard over the last few years on improving every aspect of their products with AI and Machine Learning. This year they made some key announcements about new products and also the existing products that are improved with AI. Google announced that its research division has been rebranded to Google AI. This rebranding came as a result of Google’s continued focus on Computer vision, Natural language processing, and neural networks.

Google Assistant

The Google Assistant has been greatly improved. It will be available in 6 new voices including the voice of popular musician, John Legend. Furthermore, Google announced a new technology called Duplex, it is an AI system for natural conversations that’ll enable your Google Assistant to make conversations on your behalf like a lunch reservation at a restaurant, and setting up a meeting. 

Until now every time we need the Google Assistant to do something, we usually start every conversation with Hey, Google! Now, we don’t have to do that anymore because the Google Assistant now has support for continued conversations. Google Assistant also has a new feature called Pretty Please. This feature was added to help train kids to avoid being commanding when asking for favors. With the new Pretty Please feature, kids can be taught to always make polite requests.

Google Lens

The Google Lens is also updated with some amazing new features. Now, Google Lens allows you copy-paste text from a photo in the real world to your phone. It also provides the ability to take a photo and instantly provide information about the objects and landmarks in the photo. Google Lens introduced Style Match. With Style Match, you could take a photo of a fashion item such as a shirt, blouse, shoe, or a fancy lamp. Once captured, a blue dot appears on the photo. Tap the dot, and Google Lens will provide lists of items similar to it. What a time to be alive!

Google Maps

Google announced better navigation for Google Maps aided by AI. The Google Maps was difficult for users that are not familiar with the North, South, West, East form of directions. The new Google Maps provides a street view with a very obvious direction sign. With Google Assistant in navigation in Google Maps, it provides users a better description of routes. It also adds a navigation animal that allows the map user quickly identify the route to take.

Google News

Google is keen on getting users a seamless way of catching up with news all over the world. Google is rolling out a new AI improved version of the Google News product that provides an great way to catch up with events around the world. This improved product replaces Google Play Newsstand and Google News app. It will be available on Android, iOS and the web in 127 countries by next week.

Stay tuned for more updated from Google I/O 2018!!

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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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