Investigating Employee Work Place in a Private Manner: A Look at Hybrid Work

What happened to all the people?

The pandemic has greatly hastened the progression of certain workplace trends. According to Gartner and Gallup, it is estimated that of the 100 million knowledge workers in the US, only a quarter of them will typically be back in the office on a full-time basis, with the remaining three-quarters continuing to work remotely or in a hybrid of remote-office environments for the foreseeable future. A comparable pattern applies to the estimated one billion knowledge workers around the world.

Organizations have a great chance to reassess their need for office space and give their employees more freedom to reconcile life and work. Yet, many employers are anxious about maintaining flexibility while upholding responsibility.

Many news outlets are claiming that those who work remotely are more productive than those who are office-based, however, what evidence is there to back this up? Additionally, is this applicable to all industries? Furthermore, which types of workers gain the most from the ability to work remotely?

In order to figure out if remote/hybrid policies will be advantageous to your business, you should implement productivity analytics software such as Worktime and differentiate between the days when employees are at the office and those when they are working remotely.

It is challenging to ascertain one’s location, however, Worktime has come up with the only precise model to guess location while maintaining employee confidentiality, unlike the existing reverse-IP methods.

A Person’s Online Presence

Creating a digital footprint is something that happens every time a person goes online. This refers to the data and information that is left behind when someone engages in any type of internet activity.

In the digital era, each gadget is allocated a particular physical ID – the MAC address – and an exclusive network ID – the IP address. Your internet browser sends out this Internet Protocol address openly to each website you visit. Test it out and type “what is my IP address” in your preferred search engine if you don’t believe us.

A person cannot determine a device’s location from its IP address. It is impossible to discern whether the device is in Utah, Uganda, is part of a company’s network, or is connected to a personal hotspot without more information.

A branch of businesses has emerged to bridge the gap between IP addresses and locations. These services offer “reverse geo-IP lookups,” although the results are usually close approximations.

This method determines an individual worker’s geographical site, breaching their confidentiality and faith, potentially setting them in harm’s way and leaving the employer open to legal responsibility. Worktime does not utilize and will not use physical addresses in predicting locations.

Could you please share your location with me?

Rather than using contentious labels, it’s possible to assign the label “Office” to IP addresses and any other IPs are regarded as “Remote”. This is an effective way to go about it for those with static IP ranges and with limited changes to their network structure.

Including this extra step in the onboarding process is necessary as it involves bringing in the Network IT team before any location-based features can be used, as well as for any changes in the office or network. Nevertheless, it helps to protect the physical locations of your employees from being disclosed.

A major issue with IP-only labeling is that the IP address assigned is typically from a proxy server rather than the actual device.

It appears the sound is emanating from within the residence

Two typical examples of IP addresses that cannot be trusted are the following:

1. Employees who access the office system through a Virtual Private Network (VPN);

2. Employees who link to another computer or terminal server with the help of remote desktop software.

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When accessing the internet from either a VPN or a remote server, the IP address used will not be from your personal computer or network, but rather from the office. Thus, these activities will be classified as “Office” since the IP range will fall within the range of your workplace, even if you are working from home.

In order to know exactly where your network is, you have to take a look at your nearby network!

A representative is en route

Worktime is the only method of gauging what transpires on the user’s device, instead of just how it looks on the server that receives it.

For determining a worker’s location, what signals should we be looking for? We need to understand if they are connected to the office network or a personal one, so we should observe features of the local network such as:

1. All available WiFi networks and their SSIDs that are in range;

2. The SSID of the WiFi network currently connected to;

3. The BSSID of the router that the device is connected to;

4. Whether the Remote Desktop Protocol is active;

5. Additional information as needed.

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It is no secret that the internet has revolutionized the way we communicate. This technology has given us the ability to interact with people all around the world, virtually eliminating geographical boundaries. Consequently, people are able to share ideas and collaborate on projects with colleagues and peers from any corner of the globe. This has had a tremendous impact on the way businesses operate and how people work together.

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What has become of privacy?

Worktime has introduced the idea of “Insight not Oversight” and earned acclaim for never recording keystrokes, webcams, video recordings, personal devices, and the like.

When it comes to location, Worktime takes steps to protect your privacy. All network signals are hashed in such a way that no one can see your WiFi name or router ID. IP addresses are public, but the signals from your local network are obscured prior to being used in our models. Additionally, no one in the Worktime team will ever have access to the original data.

How can one interpret and make sense of something that does not make sense?

It is essential to comprehend what we mean when we mention an “Office” place. An “Office” is merely the spot where a significant number of individuals (users in the same Worktime setting) get together to work. This could comprise:

1. Any physical offices you own

2. An office space utilized by your Sales team to close a large deal

3. A co-working space rented to evaluate new work systems

4. A hotel or conference center where you’re holding an all-staff or partner gathering, and so on…

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If individuals are at a place of employment, it’s part of their duties, and they are in a place meant for the task, then they are considered to be in their office for that day!

When searching for colleagues connected in the same network, it is unnecessary to determine the exact details of their network configuration as long as they are distinct and uniform for each person in the network – a guarantee supplied by the hashing procedure.

We utilize a method of clustering that creates a graph connecting different users by analyzing the magnitude and number of the network signals we obtain. If the network signatures and linked meta-data are comparable enough, it is possible for us to spot users working in the same office.

Identifying a user as “remote” is relatively straightforward: if the network signature is not shared by anyone else, then we can conclude that the individual is working from a distance.

On Tuesdays, Charlie is the only one in the office.

Organizations, particularly small ones, may have days when there aren’t enough people in the office at the same time, and this poses a problem for us as we seek to identify employee clusters.

We’ve created location history in order to solve the issue of unintentionally categorizing your workplace as “Remote.” If a sizable group of personnel go to the same location on any particular day, we will store the data and from that point on, mark the related network signature as an “Office” even if the number of people is below the threshold.

At the same time, if you and some of your colleagues were to gather at the coffee shop and log into their computers, the coffee shop would be considered an “Office” for that day. However, it would be inaccurate to call you an “Office” worker for the rest of the month when you are working and drinking coffee solo. Thus, the location history can be disregarded.

This process allows for a compatible combination of vital location needs:

1. Uncovering places of business, particularly those where the IP addresses are not familiar or fluctuate

2. Retaining knowledge of offices, even when few employees are present on certain days

3. Neglecting provisional offices to reduce false alarms

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We are able to execute this method quickly due to the fact that only those users with powerful indications are matched to the office clusters.

But what if I am aware of the IP range I am using?

Worktime does not turn a blind eye to IP addresses; we are merely aware of the limits of their predictions. If you are cognizant of the IP range of your office and want to input it to ensure Charlie is never left alone on Tuesdays, we do accept “Office” and “VPN” labels.

Wait a minute… didn’t I think VPN IP addresses were proxies that weren’t reliable? That’s true! By characterizing an IP range as “VPN,” we can teach our model to not give much weight to the IP address in the prediction and consider the other parts of the network signature instead. That way, we can more accurately determine whether you came from home or the office after connecting to the VPN, or if you started from home, shut your laptop lid, drove to the office, and then continued to work, all while using the same VPN IP!

For IP labels, you can either go with a default setting or opt for exclusive mode. In the default, you allow us to locate additional office locations, while exclusive mode will only tag activities taking place within the range of IPs you provide. For VPNs and remote sessions, our predictive model will be used since their IP addresses are not trustworthy.

Predictions of location that are both precise and confidential

One cannot dispute the fact that Worktime has the capability of offering an exact location model, as it can track signals from the router placed in close proximity to the user. However, the advantages are much more extensive than that: 

1. Facilitate frequent remote work practices like virtual private networks and remote desktops;

2. Abstain from reverse-IP checks of physical locations -> evade privacy and legal issues;

3. No pre-configuration necessary -> automatic identification of the office;

1. Broadened the scope of the “Office” definition to incorporate valid co-working spaces;

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Do not skimp on protecting the privacy of your employees. Utilize AktivTrack.

The use of technology has become an essential part of our lives, with its presence felt in virtually every activity we engage in. From our day-to-day tasks to entertainment, tech has become deeply ingrained in our daily routines. Its influence is so pervasive that it is hard to imagine life without it.