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5 Key Takeaways for iOS Developers from WWDC20

3 minutes, 21 seconds read

Apple WWDC20 brings together the global Apple developer community of more than 23 million in a phenomenal and virtual way. Kicking off the 31st edition of their flagship WWDC conference as the biggest WWDC to date; Tim Cook, Apple’s CEO said “Today we’re announcing our transition to Apple silicon, making this a historic day for the Mac” 

Last year, at the WWDC event, Apple announced some fine machine learning and artificial intelligence updates and demonstrated how the developers can benefit from the customization. This year, on Day 1 of WWDC 2020, Apple made some landmark announcements unveiling a smorgasbord of updates for the iOS Developers community. 

5 key takeaways from WWDC 2020 for iOS Developers

1. New Depth API in ARKit 4

ARKit 4 introduces new ways to capture information about the real world using a new Depth API. This API is designed to work with the LiDAR sensor in iPad Pro. It enables entirely new types of apps, such as on-site architecture, design, landscaping, and manufacturing. 

2. Simplified Core ML

Machine learning development in Core ML is now easier and more extensive. With the introduction of additional tools for model deployment and encryption, new templates in Create ML, and more APIs for vision and natural language, Core ML is capable of fine-tuning models and making predictions on user’s devices. 

Core Machine learning forms the fundamental building block of any domain-specific framework and functionality. With Create ML and API’s for vision and NLP, one can build models for sound activity and object detection; and transfer learning for text classifications.

With over 100 model layers now supported with Core ML, the ML, it is believed that models can be built that deliver experiences that deeply understand the vision, NLP and speech like never before.

Also read: Speech is the next UX

3. Extended Touch Gesture Control in PencilKit

PencilKit now features Scribble, which makes it easy to create apps with text entry fields that users can write in with Apple Pencil, handwriting for any UITextField. Developers will also have access to stroke data using PencilKit as stroke API gives access to the strokes as the user draws. It seamlessly handles both Apple Pencil input and system touch gestures.

Also read: How does AI recognise your hand gestures and movements?

4. Extensions in SwiftUI

Apple added no breaking changes to SwiftUi but just extensions. Swift Package Manager adds support for resources to easily share Asset Catalog bundles and localizations. 

New open-source packages have been introduced for Numerics, ArgumentParser, and System making Swift a great language for more use cases. SwiftUI now contains app-structure APIs for all Apple platforms, e.g. @main, @SceneBuilder, Settings etc. Now developers can write an entire app in Swift UI using the life cycle API and share it across all Apple platforms. 

5. Wider Scope of Testing in TestFlight 

TestFlight has been helping developers in testing beta versions of their apps. In the WWDC 2020 announcement, it will now support up to 100 team members for fast build distribution. Moreover, iOS Developers can Invite up to 10,000 external testers through email address or by sharing a public link.

Wrapping-up

During the WWDC 2020, many new APIs were announced that can enable iOS Developers to create amazing app-experiences. It also includes the AirPods Motion API that gives developers access to movement data in real-time. Also, Developers can now enable users to upgrade existing third-party app accounts to Sign in with Apple accounts.

Apart from Apple’s updates and releases, it is also creating an additional channel for developers to share feedback on developer’s forums. Developers are encouraged to share their feedback on the forum so that the team at Apple continues to update on the fixes and enhance the App Store experience for the entire developer’s community. 

Check out – 1-on-1 Developer Labs

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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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