Location Insights report page offers 6 different ways (charts and tables) to answer the most pressing questions for remote and hybrid organizations, providing modern businesses with essential insights on how employee work location impacts productivity.
Permissions Overview
Admins:
Have access to both the Location Insights report page and the settings page for all Location Insights features by default.
Managers:
Need the "Manage Organization" permission to access Location Insight settings.
Can access the report page.
Will only see data that is relevant and permitted based on employees and team under their scope.
Clients and Employees:
Do not have access to both the Location Insights report page and the settings page.
Six Ways You Can Better Understand and Improve Hybrid Work
These solutions help you get real insights into how your hybrid policy is working — no guessing, no assumptions, just clear data. Whether you’re in HR, a team manager, or an executive, this will help you make smarter decisions.
1. Customize What Counts as an Office, Remote, or Mixed Day
The definition of a "Day in Office" varies between companies. Some companies consider logging into the office Wi-Fi as a day in the office, while others require a minimum of 6 hours. To accommodate these different definitions, you can now customize Insightful's system to recognize a Day in Office, Remote Day, or Mixed Day.
The system will recognize these days based on the percentage of time an employee spends on a pre-defined office IP/MAC address location. You can access and change these settings on the Location Insights settings page.
The report page also allows you to establish an Attendance Threshold, ranging from 1 to 8 hours, to exclude days when an employee logged in but was not supposed to work.
Why this matters:
It helps you avoid a generic, one-size-fits-all approach. These customizable settings ensure that your reports align with your specific hybrid work policy. This way, the data you see will be relevant and meaningful to your company.
2. Know How Employees Actually Work – fully Remote, from Office, or Hybrid
What it does:
Use the Employee Working Mode chart to see each employee’s working preferences:
Fully remote: All their days were remote days.
Office only: Every workday was spent entirely in the office.
Hybrid: A mix of office and remote days.
You can filter by date range (like “last month”), by team, or by location. Graphs show percentages and you can hover to see exact numbers.
Example:
In one month, you might see:
15% of employees worked fully from the office.
10% worked fully remote.
75% worked hybrid.
Why this matters:
This graph helps you conduct a quick pulse check. Is the support team fully back in the office? Are we successfully executing the new RTO policy? No need to assume.
3. Track If Employees Are Following the Hybrid Policy
Let’s say you have a complex hybrid policy like:
“Sales team must be in the office 75% of the time.”
“Everyone should be in on Mondays and Fridays.”
Use the All Days by Location to learn whether your employees work more days in the office or remotely and how many days they split between both.
You can filter by date range (like “last month”), by team, or by location. Graphs show percentages and you can hover to see exact numbers.
Use the Location Summary by Date graph to visualize and identify location patterns for your employees on a weekday level.
Modify the report page filter to focus to zoom in and get a detailed analysis for specific dates or weeks.
Example:
You select the Sales team and see:
Only 54% of workdays were actually spent fully in office — far below your 75% policy.
On Mondays and Fridays, when everyone is supposed to be in — thankfully everyone shows up.
You can even drill down to an individual employee and see exactly where they were on each day.
Why this matters:
You don’t need to depend solely on middle management to understand what’s happening on the ground or to enforce policies. You can verify compliance yourself and follow up based on facts rather than assumptions.
4. Understand If Remote or Office Work Is More Productive
The Average Productive Time by Location report enables you to compare:
Total hours worked per day (aka Work Time) on an average day per location day type (Day in Office, Remote Day, Mixed Day)
Productive hours (apps and tools marked as “productive”) on an average day per location day type (Day in Office, Remote Day, Mixed Day)
Example:
You might see:
Remote days average 11h 39min of work
Office days average 8h 24min of work
Mixed days average 12h of work
That tells you there are huge differences based on location — you should probably look into that
Why this matters:
If people say they work more hours from home (or they are not as productive in the office), you can see if that’s backed by data. This helps HR and executives understand what’s working and adjust policies accordingly.
5. Zoom In on One Employee and See the Full Picture
The Employee Level Overview report shows full detail for each employee:
Location summary for the period
Number of days spent in the each location (Day in Office, Remote day, Mixed day)
Average Productive and Work time spent in Office
Average Productive and Work time spent Remotely
Average Productive and Work time for each day type (Day in Office, Remote day, Mixed day)
You can filter:
By team or department
For a specific person
For a custom time range (week, month, custom)
You can export this data as a CSV file and share it.
Example:
If someone worked 6 hours in the office and 3 hours from home on a Monday, you’ll see both those values separately.
You’ll also see if their productive hours change depending on where they work.
Why this matters:
Managers can deep-dive into individual behavior and see if there's any correlation between location and performance. You’ll know who’s following policy, who’s most productive remotely, and who might need support.
What’s the difference between “Productive [h] in Office” and “Day in Office Productive [h]”?
Productive [h] in Office refers to the average productive hours recorded at an office location, regardless of the day type. This means it includes time spent in the office on Office, Mixed, or even in some cases Remote days (depending on your location definition settings threshold).
Day in Office Productive [h] shows the average productive hours on days classified as Days in Office based on your location definition settings - regardless of where the work was actually done.
The same logic applies to the difference between “Productive [h] Remote” and “Remote Day Productive [h]”.
6. Measure Office Usage and Optimize Workspace
The Office Level Overview report shows how your office spaces are actually used, and enables managers to compare different offices (e.g., New York vs. Belgrade vs Copenhagen). Here is what you can observe:
Days in Office: Full days worked in office (based on your threshold)
Office Visits: Any visit to the office, even short ones
Unique Visitors: How many employees came in during the selected period
Average Productive time in-office vs. during full Days in Office
You can export this data as a CSV file and filter by team, individual, or timeframe.
Example:
You might see:
80 office visits in New York
But only 4 people actually visited — meaning space is underused
Employees working from New York office spent 1h and 43 mins more working per day than those in Belgrade
Why this matters:
This helps you answer questions like:
Should we close or downsize an office?
Are some offices underused?
Where are people more productive?
Filters
To maintain accuracy, the report automatically excludes days without computer activity or completely missing MAC/IP address data - labeled as
"Undetermined" elsewhere on the platform Ul —as they don't meet the criteria for "Day in Office," "Remote Day," or "Mixed Day." This ensures more precise reporting of work location data.
Users can customize their view using flexible filter options. These include selecting specific employees or teams, setting an attendance threshold, and defining a time range for analysis. The attendance threshold helps exclude days where employees worked fewer hours—such as under two or four—allowing users to focus on full or meaningful workdays without having to enter or cross-reference time-off records.
The time period filter enables users to analyze work patterns over specific durations, e.g. two weeks, three days or a month.