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Google’s Android N Preview- Developers Perspective

Google released its new operating system Android N preview on 09-03-2016. Google’s unexpected announcement of Android N Developer came that time when several mobile phone manufacturers are struggling to make the Android 6.0 Marshmallow update available to their premium devices.

The launch of Android N developer’s preview saw a good audience and it’s also going to be much, much easier for anybody to try it out. The plan of releasing it in May came little early, as Google wanted to release the preview earlier in order to get more feedback from developers in the process and get the final N release into the hands of device manufacturers this summer. Google’s current plan calls for five preview releases and a final release in Q3 2016.

Google has been working hard on matching Windows and iOS by building a native side-by-side app mode in Android. For Android N, the feature is apparently ready for prime time.

Before you plan of investing in Google’s new OS Android N, here are a few APIs and features we want to highlight which are available as a part of the “Android N Developer Preview”:

Multi-window
A new manifest attribute called android:resizableActivity is available for apps targeting N and beyond. If this attribute is set to true, your activity can be launched in split-screen modes on phones and tablets. You can also specify your activity’s minimum allowable dimensions, preventing users from making the activity window smaller than that size. Lifecycle changes for multi-window are similar to switching from landscape to portrait mode: your activity can handle the configuration change itself, or it can allow the system to stop the activity and recreate it with the new dimensions. In addition, activities can also go into picture-in-picture mode on devices like TVs, and is a great feature for apps that play video; be sure to set android:supportsPictureInPicture to true to take advantage of this.

Screenshot_20160311-121807Screenshot_20160311-121851

 

 

Direct reply notifications
The RemoteInput notification API, which was originally added for Android Wear, now works in N for phones and tablets. Using the RemoteInput API enables users to reply to incoming message notifications quickly and conveniently, without leaving the notification shade.

android-n-how-download

 

 

Bundled notifications
With N, you can use the Notification.Builder.setGroup() method to group notifications from the same app together – for example individual messages from a messaging app. Grouped notifications can be expanded into individual notifications by using a two-finger gesture or tapping the new expansion button.

Screenshot_20160311-121610 Screenshot_20160311-121558

 

 

Efficiency
You can launch Doze in Marshmallow to save battery when your device is stationary. In N, Doze additionally saves battery whenever the screen turns off. If you’ve already adapted your app for Doze, e.g. by using the GCM high priority message for urgent notifications, then you’re set; if not, here is how to get started. Also, we’re continuing to invest in Project Svelte, an effort to reduce the memory needs of Android so that it can run on a much broader range of devices, in N by making background work more efficient. If you use JobScheduler for background work, you’re already on the right track. If not, N is a good time to make that switch. And to help you out, we’re making JobScheduler even more capable, so now you can use JobScheduler to react to things like changes to content providers.

android_n_notification_

 

 

Improved Java 8 language support
We’re excited to bring Java 8 language features to Android. With Android’s Jack compiler, you can now use many popular Java 8 language features, including lambdas and more, on Android versions as far back as Gingerbread. The new features help reduce boilerplate code. For example, lambdas can replace anonymous inner classes when providing event listeners. Some Java 8 language features –like default and static methods, streams, and functional interfaces — are also now available on N and above. With Jack, we’re looking forward to tracking the Java language more closely while maintaining backward compatibility.

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Start-Up Time
If you’ve ever updated software on your Android smartphone or tablet, you’ve almost certainly seen that infuriating ‘Optimizing Apps’ popup up card immediately after installing and booting up your device. Depending on how many apps you have, it can take anytime between a couple of minutes and a bazillion years (slight exaggeration) to get past this stage. One of the less obvious new features is that Android’s ‘Optimizing Apps’ screen during startup barely takes any time at all to work through its process with N (Nutella?). Thankfully, with Android N, we won’t have to wait for very long at all.

android-n-app-switcher

 

 

Night Mode
Google has bought Night Mode option back, which user can turn to anytime. The night mode produces less strain to user and is addition option in Android N.

Screenshot_20160311-124248 Screenshot_20160311-124254

 

 

Get Started
The N Developer Preview includes an updated SDK with system images for testing on the official Android emulator and on Nexus 6, Nexus 5X, Nexus 6P, Nexus Player, Nexus 9, and Pixel C devices.

This initial preview release is for developers only and not intended for daily use or consumer use. Google plans to update the N Developer Preview system images often during the Developer Preview program. As they are getting closer to a final product, Google will be inviting consumers to try it out as well.

There is more to come as Google continue developing the release. Google is also making it easier for you to try out N on your development devices with the new Android Beta Program. Started yesterday, you can update your Android devices to the developer preview of N and receive ongoing updates via OTA by visiting g.co/androidbeta.

We at Mantra Labs keep continuous watch on latest Technology updates by Google, Apple, Microsoft and others to drive next generation of mobile apps.

 

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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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