2. Revisit your meeting availability times (Calendly, Doodle etc.):
β Block out 1β2 days entirely if you can;
β For those days when you are available, set out just a 2β4h time window to avoid a pile of back-to-back meetings.
3. Review your calendar:
β Block time for your favorite activities (exercising, reading, running etc.)
β Block time for dates/dinners with your loved ones/friends,
β Set up a vacation mode for family birthdays/important events,
β Set up a reminder to drink water every day.
5. Review and edit your LinkedIn/Twitter bio/profile page:
β Update your role/position,
β Add your new achievements, certificates, projects,
β Mark if you are still open for positions.
6. Delete the apps you don't need:
β On your phone and on your desktop;
β Check what apps are actively collecting data about you in the βBackground App Refreshβ settings on your phone.
7. Review your privacy settings in the apps you are using the most:
β Ads settings,
β Data collection settings
β Personalization/customization settings,
β Security settings.
8. Install updates youβve been delaying for weeks.
9. Unsubscribe from all email newsletters that you find less relevant for you.
10. Review your paid subscriptions:
β Cancel those you don't get value from any more (via @eyesondesign00),
β Consider downgrading (or upgrading) a plan or switch to an annual payment to avoid hassle.
11. Check whether youβre overpaying:
β For your mobile plan,
β For your Internet plan,
β For any expenses you have (docs.google.com/spreadsheets/dβ¦) β prices change all the time.
12. Revisit your passwords (esp. the important ones):
14. Write down important phone numbers of relatives, close friends and colleagues β on paper β and store them carefully,
15. Whenever a loved one mentions something theyβd love to have, order it right away β youβll find an occasion to give it to them later in the year.
I'm sure I've missed something! Anything that you tend to revisit or clean up by the end of the year?
The time of stock images is over. In our design process, we can't rely on AI's work, but we can use it as inspiration and research tool. Interesting ideas from @erikdkennedy in his recent newsletter Design Hacks (learnui.design/newsletter.html) (very recommended, btw):
β For AI logos, use LogoAI (logoai.com),
β For AI font picking, use ChatGPT,
β For AI image retouching, use Background Remover (icons8.com/bgremover) and Remove Background (remove.bg).
π Design inspiration! Where do you find interesting websites? Below is the list of websites that I frequently visit to explore some unusual designs for inspiration:
β Minimal design (httpster.net/2022/nov/) curated by Dominic Whittle and Tom Fitzgerald at Guvnor,
50 Things To Do Before Leaving For A Trip, with just a few things I always check before leaving house for a trip (except the obvious things):
1. Take a shower in the morning 2. Create a new expenses report 3. Take foreign coins 4. Take foreign charging adapters if needed
5. Take the HDMI cable 6. Charge the tooth brusher 7. Charge the razor, take the blades 8. Charge the headphones 9. Charge the external power bank 10. Charge the Bluetooth keyboard 11. Charge the laptop fully 12. Check weather forecast 13. Check car sharing services (Lyft, Bolt)
14. Check hotel amenities (gym, sauna) where I'm staying 15. Check the distance and directions from airport to hotel 16. Check umbrella 17. Check sunglasses 18. Check the costs of regular expenses abroad (numbeo.com) 19. Save travel guides about the place/country
π Design KPIs. We often think that design is subjective, a matter of taste or preference. It doesn't have to be. We should be able to measure how well a particular design solves a particular problem. That's why recently I started setting up Design KPIs for every project.
These design KPIs inform, shape and restrict design decisions. They also tend to eliminate personal biases and remove personal preferences out of equation. This is what @gerrymcgovern calls βevidence-based designβ. We measure and we improve usability, testing over time.
As an example, here's how the KPIs could look like:
β Accuracy of data in forms β 100%
β Time to complete forms < 35s
β Time to relevance in search < 30s
β Frequency of errors < 3 / visit
β Error recovery speed < 7s