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The Smart Clock – Mantra’s IoT Experiment.

IoT is emerging as a disruptive technology and is growing significantly, as consumers, businesses, and governments recognize the benefit of connecting inert devices to the internet.

With breakneck speed, the Internet of Things (IoT) has branched out of the B2B and industrial markets where its concept first took root and exploded into the consumer market in a major way. IoT extends beyond just “smart homes,” that can gather useful data and automate some of our everyday activities. It seems like almost every consumer device will be equipped with IoT connectivity. It joins sensors, devices, data and connectivity together to make the Internet a mesh of Things which can interact, exchange, act with intelligence and transfers data inside networks. Though it is still evolving but it’s promising and pragmatic applications are seen in all verticals, there are already a number of consumer products that use the IoT technology.

With companies joining this new epoch in technology, we also are building our “Smart Clock” (right now in prototype), which is inspired by Ingrein Clock (a kickstarted project).

For Quick Prototyping we started with readymade circuit boards Raspberry PI / Arduino / Particle.io,  including various sensors to have a fair idea about the components and modules required to build the final product . We also started minifying the board and breaking down the circuit to absolute components that are required in building Smart Clock. Before proceeding further let us know

  • What is Raspberry PI?
    It’s a mini computer with GPIO pins. The device is quite powerful and is able to run complete Operating Systems like Linux. It simplifies a lot of hardware and software specs altogether.
    We just need to connect any hardware module to the GPIO pins and then program Raspberry (in any language) though Python has a lot of libraries for raspberry.

The device will cost around 2-3K. One can get started using Raspberry PI soon.

  • What is Arduino?
    Arduino Board has a micro-controller and a set of digital and analog I/O pins to communicate with other hardware devices.
    Arduino is more hardware oriented since it does not come up with installed Operating System.Arduino also provides you its own programming development toolkit where you could submit your code and the software mounts the code to micro-controller. We do not have language choices here but one must know the basics of C++. We can turn this Arduino into any smart device we want to and we can use multiple sensors. Optimized-IMG_20160726_153747

While building this Smart Clock, we did couple of experiments on Raspberry PI and Arduino. For example, we face problem to check whether the meeting room is empty or not, for that we added PIR motion sensors to Raspberry PI and programmed it in Python.

The next task was to exchange data between Raspberry PI and server so one could get the status of the room from his mobile. We implemented Mqtt/Mosca for this (node.js). Now if there was any motion, the PI would send a message to the server and the same could be retrieved on the mobile. This was a simple exercise just to get started.

The next current task we are doing is trying to put minimal required components and sensors together to build a Smart Clock (expected to be changed). Optimized-IMG_20160726_154021

Mantra’s Smart Clock:
A smart clock could read your notification alerts and check other daily tasks.

Currently we have picked one feature that is the clock could tell whether someone from the family is about to arrive. For example at evening, if you are coming from office, as soon as you are near your home- around 200-400 metres away, the clock would notify about your incoming and hence someone at your home could start preparing beforehand whatever you want – food/snacks etc. The clock will be connected to internet and will come with an app that keeps pushing user state to the servers.IMG_20160726_153904

Smart Clock quick points:
– Connectivity: the clock will come with an app which will be used
to connect with clock using Bluetooth. The clock will be configured
using this app such as connecting it with internet and other basic
setttings.
– Currently we are only focusing on very few activities such as
notifying family members about activities such as notifying member is about to arrive ,
weather and app notifications

Prototype Technical Specification:

Connectivity: Bluetooth/Wifi
Sensors:          PIR motion detector
Board:             RaspberryPI/Arduino

The project is currently under progress. We are customizing the circuit board with lesser components, what are needed only.

For a complete updates on “Smart Clock” and other latest technology, approach Mantra Labs at hello@mantralabsglobal.com.

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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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