Astronaut loading animation Circular loading bar

Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(5)

Customer Journey(12)

Design(36)

Solar Industry(6)

User Experience(56)

Edtech(10)

Events(34)

HR Tech(2)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(17)

Testing(9)

Android(47)

Backend(30)

Dev Ops(7)

Enterprise Solution(27)

Technology Modernization(2)

Frontend(28)

iOS(43)

Javascript(15)

AI in Insurance(35)

Insurtech(63)

Product Innovation(49)

Solutions(19)

E-health(10)

HealthTech(22)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(132)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(17)

FinTech(50)

Banking(7)

Intelligent Automation(26)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

Create IOT products and solutions – Part 1

It’s very interesting to see and understand how things are really working at the level of bytes and bits. In software, we rarely think about those details, as most of these things are abstracted so a software programmer can focus on just his piece while the hardware engineers and embedded programmers take care of making those intricate and complex circuit boards.

 

IMG_0335

Sometime back when we decided to do something in the space of IOT, we were complete newbies with absolutely no background, academic, or professional. But we learnt many things the hard way by trying, failing, and correcting. But perhaps as many people say, that may also be the best approach towards learning anything new.

Today with an experience of building an actual physical thing that listens, I feel more confident about the space, and our ability to replicate our success story for our clients as well. But what is that we build, and now a question of great debate, and subjectivity. I can perhaps think of some rules that an IOT product or initiative should bear in mind.

Before going forward, give it a thought

Does the device really help its customer? This is a very basic and moot question that every innovator and maker should ask themselves.

Does the product makes our life more safer, convenient, healthier, and happier? If the answer is yes for these questions, the product may find takers in the market.

A product must have a clear cut value proposition for its intended buyers. If the product is just a cool gadget, it will find utility only with a handful of users who will be very quick to move onto something more cooler as and when it’s available in market.

internet-of-things

Just having built something and pushing it off to the supply chain may not be of great help in building a sustainable business that will have a long term impact. One should think of constantly reinventing the product to make it better & more useful for its customers. Timely service, and a great customer support will go a long way in winning the confidence of the current active users, and the word of mouth publicity will help in winning more users till the product reaches a critical mass.

There are some challenges too

The challenge that we face today in IOT, especially industrial IOT is that existing chips that help the sensors transmit the data directly into cloud, consume a lot more power than what would be practical for widespread adoption in industries. But recent advancements in technology with the Qualcomm Cat M1 modules, and Verizon’s upgrading its infrastructure to allow ultra low band transmission at really affordable rates can be the right steps in the direction of making IOT really ubiquitous.

Security is another big challenge for mass adoption of IOT. Seeds of doubt about the device being sufficiently protected against hacking is one big reason why customers are still not able to fully give in to the idea of leaving their critical functions to a device. What if my smart locking system is hacked, and an intruder is able to hack his way inside my house?

An intrusion into house, or the smart lighting solution being hacked are still something not as much threatening as a possibility of a smart glucometer or a pacemaker being hacked. Risk of this nature can have life threatening consequences, and cannot be taken lightly.

These are valid questions which the IOT community will have to tackle head on. But I believe these questions or challenges are always there with any new technology. It takes time for ecosystem to mature to a level where issues of security are addressed, questions of viability, feasibility, and usability are addressed, and then mass adoption follows. The stage in which the current IOT development possibly is where developers and engineers worldwide are working in the direction of making IOT safer, and more useful for everyone. Soon it will be IOT for everyone.

Stay tuned for next article about some specific steps and questions to create an IOT Product.

Cancel

Knowledge thats worth delivered in your inbox

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.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot