Nivedit Majumdar Nivedit Majumdar

Lifelogging for an Automatic Quantified Self, through Instant

Multitasking is cool. When one device, or one application can be used for a multitude of applications, the onus shifts on convenience combined with a feature rich bundle, and that in turn is more viable for more use cases.

Here at Emberify, our award winning product Instant wasn’t developed merely as a tracking application. While the primary use is tracking the time spent by the user on the device, the use cases can actually branch out into much more intricate and intelligent use cases. In this article, we’ll be highlighting the diverse use cases of Instant, to enable an automatic Quantified Self through the device used most – the mobile phone.


Sometimes, it isn’t quite feasible for an employer to gauge the effectiveness of the output of an employee. At most workplaces, for instance, there are in and out times, and a connection to the central server keeps a track of how many hours the workplace desktop was on for.

But let’s face it, while these are simple and effortless means to measure the time an employee has spent in office, it does not quite measure the productivity of the employee. In most ways, tracking the employee’s productivity could be carried out by continuous camera surveillance, but who wants that?


I believe that Instant can provide the ground breaking improvement in assessing how productive an employee has been. By keeping a track of which applications the employee uses the most, the time the employee spends per application, and by keeping track of simple things (for example, the number of times the code was compiled), a stronger base can be created regarding the employee’s productivity.

While we have discussed BYOD policies regarding the Enterprise Mobility Market before, and also QS in Workplace Health, all things boil down to one defining fundamental: the power of workplace analytics. Data driven decisions go a long way in combining fragmented pieces of data into information and then converting the information into insight.

For any organisation, bringing about the change starts with the first step of measuring how productive the employee is. Instant not only tracks the time spent per application, but also syncs with Google Fit to keep track of fitness stats. So, theoretically, we have an all-in-one software bundle cooking out here: with two versions of the app, for instance, one on the workplace desktop and one in wearables, we could measure the productivity and fitness of an employee.

The next step? That is for the organisations to come up with, but personally I believe that gamification goes a long way in pushing an employee to work more. How about incentives for the fittest employee? How about a title for the employee who works hard and plays hard too?

The possibilities are endless, and the overall productivity in a workforce can be improved through one step: Instant in the workplace.


There was this nice game I was introduced to some time back. At a dinner with some friends, all of us had to put our phones face down on the table, stacked on top of each other. The first person to reach out to their phone would have to pay the lion’s share in the dinner.

Somewhat silly, but it is through these simple games where we actually realise the value of spending time with loved ones. The window to the world formed by smartphone displays often distracts people from spending time with their families and friends. A physical barrier is created, often the size of a 5-inch display.

Instant’s best use case comes forward in this scenario, with the application constantly tracking the amount of time you are spending on your device and ow many times you have unlocked your device. The application automatically pops up notifications and reminders when the user has exceeded his / her daily limit, to maintain a balance between the digital and physical worlds.


Tracking all kinds of data is a hurdle. It takes more than one wearable or a connected device to effectively measure all the data in depth.

Luckily, broadening the spectrum to take into consideration more factors, while at the same time maintaining a healthy level of depth of data, isn’t much of a hurdle for the quintessential device for everyone – the smartphone. I’ve already spoken about sensors, and how smartphone sensors are shaping up to be the game changing mechanisms in the Quantified Self movement, and through Instant, we can tap into the prowess of these sensors.

Instant Cards

Beyond counting the number of steps and syncing it with Google Fit, beyond counting the number of hours spent on a device, beyond counting the number of times the user has unlocked the device, there are more use cases for Instant. For example, counting the number of hours spent per application. Creating geofences to measure time spent in transit, at work or at home. Weekly reports, synced with a unified platform based on the web – in many ways, Instant is Google Analytics for your life.


The underlying focus of developing Instant is not to provide for a single QS use case, but to target multiple use cases which would be suitable for a wide audience – from budding lifeloggers to even amateur and veteran trackers. Instant in the background allows for a simple approach to an informative, automatic Quantified Self. You can learn more about Instant here:

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