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Google I/O 2017 highlights – Day 1

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Do you want to know the big announcements at Google’s annual I/O developer conference.? We have covered few main take aways from the event, in case you missed it. Right from Google Lens to Android Go, everything has been beautified and advanced.

Here is the brief summary from day 1 of Google I/O:

Google Lens

This is a set of vision based computing capabilities for the Camera that can understand what you’re looking at and help you take actions based on that information. Machine learning system that can tell you things about what your camera is seeing — is also coming into Google Photos, allowing you to ask questions about pictures you’ve already taken.

  • Now you can remove the abstraction from the image and enhance them.
  • You will be able to point your camera at an item and learn things about it.

Google Assistant

Assistant is becoming more conversational and it can pick up your voice accurately even from the noise.  The voice recognition is getting smart recognise each person of the family with their voice.

It’s awkward talking to your phone when you are in crowd so now you’ll be able to type to Google Assistant. Knowing about real world around you would be easier when google assistant is used with the lens, then, you’ll be able to ask Assistant about real world. The is not only available to android but iOS as well so you can enjoy convenience of Google Assistant on iPhone.

Google Home

Home is even more powerful with Proactive Assistance. It will gauge your needs before you need them. It can provide even more services like hands-free calling, Visual Responses and providing more control over your favourite entertainment by support of more music/video services to your chromecast or TV.

Google Photos

Google Photos will identify your best photos and offer them up as physical, printed photo books. It allows Shared Libraries so you can select to automatically share photos of specific people with specific friends.

Google AI

Google is focusing on three areas: Research, Tools, and Applied AI. This is being powered by a new computational architecture called CTPU (Cloud Tensor Processing Units). Machine Learning powered algorithms would help solve multiple use cases like identifying cancer, learning about new molecules and helping you draw.

Android O and Go

The new version of Android is O. This is currently in developer preview mode. It will speed up Android boot time, the Pixel, for example, will start up 2x as faster. O will now support the Kotlin programming language.

For Affordability, limited network connection and multilingual capability, a lighter version on O is available and Google calls it Go.They are introducing Android Go. It will be complete with lightweight versions of Google’s own apps and a Play store that focuses on apps that play friendly with lower-spec devices  (under 1GB of memory).

 

Stay tuned for more updates from Day 2 and Day 3.

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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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