![]() Once the timer runs out, a fully grown tree gets added to each user’s own personal forest and they gain a credit that eventually can be applied toward building physical trees out in the world.Īny.do focus mode employs the same gamified adaptation of the Pomodoro method, but built into your pre-existing task list. If the user were to leave the app, the tree would wither and die motivating them to stay focused. While the Pomodoro technique is based on strictly a timer, both Any.do and Forest app utilizes a more gamified version of the method with their tree animation.įorest users are first prompted to select their desired tree species and time frame of which they want to remain productive.įrom that point on, a timer begins and a multitude of inspirational productivity quotes appear above the tree. In its classic form, the Pomodoro technique breaks down a set time period in 25 minute intervals that one can allocate to particular tasks. The method, developed by Francesco Cirillo in the 1980’s suggests that working in short intervals can increase focus and enhance productivity. The Forest app, as well as Any.do’s Focus mode are variations of the popular productivity method pomodoro method. The brain’s reward system is activated when a reward is presented.ĭopamine receptors are “turned on” when they see the reward and produce those feel good chemicals.īoth Any.do’s and The Forest app’ structure essentially encourages users to be present in their life through a reward-system that capitalizes on the brain’s natural response to accolades. The reward system is a mechanism in our brain designed to motivate us to behave in ways and engage in activities that help us survive.Įssentially, the reward system encourages us to follow feel-good impulses via prizes in order to help us live our most healthy and fulfilling lives. ![]() ![]() The visual progression of the tree gradually activates our brain’s reward system to generate dopamine. While on Forest you have to start adding the tasks you want to focus on, with Any.do’s pre-existing task management platform, users are able to prioritize what they want to get done from their existing list.īoth ‘Focus Mode’ and the Forest app work so well because of the sense of satisfaction a forest of trees produces for its users. “Focus mode” is Any.do’s dedicated feature to help users to concentrate on a specific task and eliminate distractions. The same tactic and visual experience also exists in Any.do’s ‘Focus Mode’. Users will feel an inherent sense of guilt killing a tree and an intrinsic sense of pride growing a full grown tree.Īfter several sessions of successful uninterrupted focus time, users’ grown trees will turn into a forest of wins. To help users stay more productive, Forest leverages on the power of gamification. Those who surrender to the distraction of their phone will not be rewarded by a grown tree, but will receive a dead digital tree. The fate of the tree is determined by the users’ commitment to staying focused, making the proverbial prize of a fully grown tree a reward for users. When users begin a work session, they will be presented with a newborn tree. In order to combat our phone addiction and inability to manage time due to day-to-day distractions, the forest app rewards users for staying on task and off their phones. Let’s delve deeper into how the forest focus app compares to Any.do’s focus mode. ![]() Not sure which one is better for your needs? While being a great app to help increase focus and concentration, it has its pros and cons.This is why we’ve developed Any.do’s focus mode, to serve as an alternative for users looking to combine focusing tactics with other productivity features consolidated on one app. The nuanced structure of the app coupled with its tree-focused design serves as a pleasant platform for users to stay focused. Forrest app is one of the most popular focus apps out there, but is it the right fit for your needs?ĭeveloped in 2016, the forest app encourages users to manage their time better and improve their work focus by staying off their phones using their version of the Pomodoro method.
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