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Android Studio 2.0 features- Developers Preview

Android Studio 2.0 is the fastest way to build high quality, perform-ant apps for the Android platform, including phones and tablets, Android Auto, Android Wear, and Android TV. As the official IDE from Google, Android Studio includes everything you need to build an app, including a code editor, code analysis tools, emulators and more. This new and stable version of Android Studio has fast build speeds and a fast emulator with support for the latest Android version and Google Play Services.

Android Studio is built in coordination with the Android platform and supports all of the latest and greatest APIs. If you are developing for Android, you should be using Android Studio 2.0. It is available today as a easy download or update on the stable release channel.

Android Studio 2.0 includes the following new features that Android developer can use in their workflow :

Android-Studio-2.0-1

Here is the full feature Android Studio 2.0 features- Developers Preview:

Instant Run: This feature is supposed to dramatically improve your workflow by letting you quickly see changes running on your device or emulator. It lets you see your changes running “in a near instant,” which means you can continuously code and run your app, hopefully accelerating your edit, build, run cycles. When you click on the Instant Run button, it will analyze the changes you have made and determine how it can deploy your new code in the fastest way. Instant Run works with any Android Device or emulator running API 14 (Ice Cream Sandwich) or higher.

Android Emulator: The new Android Emulator is up to 3x faster in CPU, RAM, and I/O in comparison to the previous Android emulator. ADB push speeds are 10x faster. In fact, developing on the official Android Emulator is faster than a real device in most situations. It also has a new user interface and sensor controls, letting you you drag and drop APKs for quick installation, resize and rescale the window, use multi-touch actions (pinch & zoom, pan, rotate, tilt), and so on.

Cloud Test Lab: This new service allows you to test your app across a wide range of devices and device configurations. Google sees it as an extension to your testing process that lets you run through a collection of tests against a portfolio of physical devices hosted in Google’s data centers. Even if you do not have tests explicitly written, Cloud Test Lab can perform a basic set of crash tests, right from Android Studio.

App Indexing: It is now easier for your users to find your app in Google Search with the App Indexing API. Android Studio 2.0 helps you to create the correct URL structure in your app code and add attributes in your AndroidManifest.xml file that will work with the Google App Indexing service. You can then test and validate your app indexing code in Android Studio.

GPU Debugger Preview: If you are developing OpenGL ES games or graphics-intensive apps, you have a new GPU debugger (in preview) in Android Studio 2.0. It can step through your app frame by frame to identify and debug graphics rendering issues with information about the GL state.

If you are using a previous version of Android Studio, you can get the latest version in the navigation menu (Help => Check for Update on Windows/Linux and Android Studio => Check for Updates on OS X). Either download directly from the link given below:

To Download Android Studio 2.0 For Windows: Click Here (320 MB)

To Download Android Studio 2.0 For Mac: Click here (319 MB)

Mantra Labs deep dives into latest trends and innovations in the Web, Mobile, Enterprise and Internet of Things space. The insights generated from these studies helps us provide more value for our clients.

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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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