Hello there and welcome!

I am that novice, the non-geek; and I am writing this article to share with you, interesting facts that I have learnt so far about Product design and Technical writing respectively. Here they are...

TECHNICAL WRITING

In technical writing, I see the act of documenting complex technical information as very important and captivating; technical writers bear the responsibility of creating understanding for complex information to the reader. People speak about Technical writing most times like it's completely different from other forms of writing, mean while the major difference lie in the purpose and style. I see Technical writing as completely utilitarian as it's main purpose is breaking down information, so even users with no prior information on the topic can have clear understanding.

As a newbie doing research, i've discovered that Technical writing ought to be clear, concise and easy for readers in their target audience to not only follow but also act upon. I came across various forms of technical writing, but the most common forms are: End-User documentation, Traditional Technical writing and Technical Marketing Communications. I know also that just like many other things, Technical writing has a process to it which are simply; Collecting Info, Creating write up Structure, Drafting, Review and lastly Release to the audience.

PRODUCT DESIGN

Design is borne from our lifestyle and personality, it is the "HOW" in taking actions and carrying out activities. I find it interesting because it lets you transfer the essence of who you are to your work. Product design allows a designer plan for the creation of an object, service or system and the implementation of the result of that plan in the form of a prototype, or a product.

To me it's impressive that in design the user is priority, with the designer attending to their needs in the User Interface (UI) and their emotions in the User Experience (UX). I also find the tools for product designing very fascinating; Figma, Adobe, Protopie, e.t.c. The designer however, is who makes a design awesome, not the tool.

PRODUCT MANAGEMENT

I have never considered it easy to coordinate, especially when humans are involved. I think it takes unique skills and I envy that a lot. This is why I find Product Managers and their tasks really interesting.

Product management is the business process of planning, developing, launching, and managing a product or service. It includes the entire lifecycle of a product, from ideation to development to getting to the market. Product managers are responsible for ensuring that a product meets the needs of its target market and contributes to the business strategy, while managing a product or products and the development team at all stages of the product lifecycle.

WEB DEVELOPMENT

Personally, I relate web development to product design as it puts the audience as priority too. I see it as the advanced version of product design. Web developers also posses interesting skills like, HTML and CSS skills, Analytical skills,Responsive design skills, JavaScript skills, Interpersonal skills,Testing and debugging skills, Back-end basics, Search engine optimization...

Web development is the involvement in developing a website for the Internet (World Wide Web) or a private network). A more comprehensive list of tasks to which Web development commonly refers, may include Web engineering, Web design, Web content development, client liaison, client-side/server-side scripting, Web server and network security configuration, and e-commerce development.Among Web professionals, "Web development" usually refers mainly to aspects of building Web sites: writing markup and coding. Web development may use content management systems (CMS) to make content changes easier and available with basic technical skills.

DATA SCIENCE

In Data Science, I envy most it's complexity. It takes a lot critical thinking and careful analysis. Data analyst also possess specific skills like; Statistical analysis and computing. Machine Learning, Deep Learning, Processing large data sets, Data Visualization, Data Wrangling, Mathematics., Programming...

Data science is an umbrella term for a group of fields that are used to mine large datasets. Data analytics software is a more focused version of this and can even be considered part of the larger process. Analytics is devoted to realizing actionable insights that can be applied immediately based on existing queries.

Hope you found this helpful and interesting too. Bye!