Author

 UK Price £5     US $6


Note: This is the approx UK price shown as the purchase is paid through Paypal / Credit Card the actual price is dependent on the $ US exchange rate at the time and may increase or decrease according to the exchange rate when the eBook is purchased.

eBook Content Details:

 In this eBook you will learn why and how  the proportion of people planning to spend most of their working hours at home has risen. In February 2022, 84% of workers who had to work from home because of the coronavirus pandemic said they planned to carry out a mix of working at home and in their place of work in the future. (According to the Office Of National Statistics).

Employee wellbeing is important, whether they’re in the office or at home. It’s been found that people are generally happier working from home because it allows for more flexibility, but there has been struggles when it comes to communicating and collaborating with teammates.

Included within this eBook you will find the following Chapters:

Chapter 1: Introduction – Working From Home is What You Make of It

Chapter 2: How to Structure Your Working Day to Get More Done 
Eat the Whole Frog 
The 1 Minute Rule 
To-dos 

Chapter 3: Productivity Hacks: How to Motivate Yourself to Work 
Setting Yourself Rewards 
Leaving Work Unfinished 
Overcoming Writers’ Block
Prepping Your Work 
Creating Accountability 

Chapter 4: Finding the Inspiration (The Key to Incredible Productivity)
The Essential Guide For Working From Home

Chapter 5: Optimising Your Health and Wellbeing 
Getting Proper Downtime and Rest
Grooming and Self-Maintenance 
Dealing With Loneliness 
General Health 
Fitness and Strength Training 

Chapter 6: Creating the Perfect Home Office
Inspiration 
Organisation 
Faces and Plants 

Chapter 7: The Best Productivity Apps and Gadgets for Working From
Home 
Remote Collaboration 
Personal Work Flow 
Admin 

Chapter 8: Best Online Jobs 
Top Online Jobs 
Copywriter 
Blogger 
Journalist
Vlogger 
Marketer 
Programmer/software developer
Video editor 
Data analyst 

Conclusions