Analytics Metrics: how to interpret each indicator?

Analytics brings together indicators for Schedules, Hours Bank, Overtime, absences, delays, breaks, absence requests, and punch irregularities.

The information displayed depends on the module accessed, the filters applied, and the metrics selected in each card. Therefore, before comparing values, always confirm:

• The period being analyzed;
• The employees included;
• The team, department, branch, or cost center selected;
• The metric being used;
• Whether the card displays a total, average, number of days, or percentage.

Important: Analytics data is updated every 3 hours. Recent punches, adjustments, or approvals may not yet appear in the cards.

1. Access Analytics and apply filters

To analyze the metrics:

1. In the sidebar, go to Analytics;
2. Select the dashboard related to the analysis you want to perform;
3. In the FILTERS panel, click the + icon;
4. Add the required filters, such as:
   • Date;
   • Employee;
   • Team;
   • Department;
   • Branch;
   • Cost center;
   • Supervisor.
5. Wait for the cards to update;
6. Expand the desired card to view more details;
7. Use Show to choose the metrics or columns that will be displayed;
8. Use Filter to apply filters only to the expanded card.

Global filters affect all cards on the dashboard. Filters applied within a card affect only that specific view.

2. Understand the difference between dimensions and metrics

When customizing a card, information can be separated into:

• Dimensions: organize or group data, such as Date, Employee, Team, Department, or Day Type;
• Metrics: display calculated values, such as Worked Hours, Overtime, Absences, or Hours Bank.

Example:

• When using Employee as a dimension and Overtime as a metric, the card displays the total Overtime separated by employee;
• When using Date as a dimension and Positive Hours Bank for the Day as a metric, the card displays how much positive bank was generated on each date.

3. Day and Schedule planning metrics

Total Days

Displays the total number of days considered after the filters are applied.

Planned Days

Shows how many days had a planned Schedule for the employees being analyzed.

Worked Days

Shows the number of days on which work was considered during the period.

Unplanned Days

Shows how many days did not have a planned Schedule.

This metric can be combined with Worked Hours or Overtime to analyze activities performed outside the plan.

Planned Hours

Displays the total hours planned by the employees' Schedules during the selected period.

Worked Hours

Displays the total hours effectively worked and considered during the period.

Planned vs. Actual

Compares planned hours with the hours actually worked.

Example:

• Planned Hours: 160:00;
• Worked Hours: 166:00;
• Difference between planned and actual: 06:00.

Consecutive Worked Days

Identifies sequences of worked days without interruption.

Consecutive Worked Days over 12

Identifies days that are part of a sequence of more than 12 consecutive worked days.

This metric helps identify employees who had work records for many consecutive days.

Sundays Worked

Shows the number of Sundays on which work was considered.

Holidays

Displays the number of holidays included in the analyzed period.

Worked Holidays

Shows the number of hours worked by employees on holidays.

Days with Night Schedule

Displays the number of days on which there was work within a night Schedule.

Days with more than 10 Worked Hours

Shows how many days exceeded 10 Worked Hours.

Days with more than 12 Worked Hours

Shows how many days exceeded 12 Worked Hours.

Days with Overtime greater than 1:30 hrs

Shows the number of days on which total Overtime exceeded 1 hour and 30 minutes.

Example:

• On one day, the employee generated 01:15 of Overtime: the day is not included in this metric;
• On another day, they generated 02:00: the day will be included.

4. Hours Bank metrics

Hours Bank

Displays the Hours Bank result generated within the period considered in the card and filters.

The value may include credits and debits according to the rules applied to employees.

Positive Hours Bank for the Day

Shows the positive hours generated each day.

Example:

• The employee was expected to work 8 hours;
• They worked 9 hours;
• According to the Pay Policy configuration, the day generated +01:00 in the Hours Bank.

Negative Hours Bank for the Day

Shows the negative hours generated each day.

Example:

• The employee was expected to work 8 hours;
• They worked 7 hours;
• According to the applicable rules, the day generated -01:00 in the Hours Bank.

Accumulated Hours Bank

Shows the employee's accumulated balance considering the Hours Bank period configured in their Pay Policy.

The Accumulated Hours Bank does not necessarily represent only the period selected in the Analytics filter.

Example:

• The Analytics filter considers only June;
• The employee's Hours Bank period started in April;
• The Accumulated Hours Bank may include the balance generated since the beginning of the period configured in the Pay Policy.

Accumulated Hours Bank - Ranges

Displays the accumulated Hours Bank separated by the ranges or phases configured in the Pay Policy.

This metric allows you to analyze in which ranges the balance was generated instead of viewing only the total accumulated balance.

Positive Bank Balance

Displays only the positive portion of the accumulated balance.

Negative Bank Balance

Displays only the negative portion of the accumulated balance.

Average Hours Bank

Displays the average Hours Bank within the group of employees or records considered in the card.

Average Accumulated Hours Bank

Displays the average accumulated Hours Bank balance within the group of employees considered by the filters.

This metric is different from Average Hours Bank, which considers the bank movement analyzed in the period or card being used.

Hours bank ABS

Displays the Hours Bank volume using absolute values, without offsetting positive values against negative ones.

Example:

• Employee A: +05:00;
• Employee B: -03:00;
• The net result would be +02:00;
• The absolute volume would be 08:00.

This metric can be used to analyze the total volume of movements, regardless of whether the balance is positive or negative.

Hours Bank between 02 and 04 hours

Identifies Hours Bank balances or occurrences within the 2-to-4-hour range, according to the card being used.

Hours Bank greater than 04 hours

Identifies balances or occurrences greater than 4 Hours Bank hours, according to the card being used.

Hours Deducted from Hours Bank

Displays the hours deducted from the Hours Bank during the analyzed period.

Use the date and employee filters to identify when and for whom the deductions occurred.

5. How to view only the Hours Bank generated during the month

To analyze how much bank each employee generated during a specific month without considering the accumulated balance:

1. Access the dashboard related to Hours Bank;
2. Expand the card you want to use;
3. Apply the Date filter using the first and last day of the month;
4. Use Employee as the dimension;
5. Select one of the following metrics:
   • Hours Bank, to view the period result;
   • Positive Hours Bank for the Day, to view credits only;
   • Negative Hours Bank for the Day, to view debits only.
6. Do not use Accumulated Hours Bank when the goal is to analyze only the movements generated during that month;
7. Download the data when the card displays the download option.

Example:

To analyze June, select the period from 06/01 to 06/30 and use Hours Bank, Positive Hours Bank for the Day, or Negative Hours Bank for the Day.

6. Overtime and additional hours metrics

Overtime

Displays the total hours classified as Overtime during the selected period.

Overtime - Ranges

Separates Overtime by the ranges or phases configured in the Pay Policy.

Example:

• 2 hours in the 50% phase;
• 1 hour in the 100% phase;
• Total Overtime is 3 hours, but the range metric displays each phase separately.

Additional Hours - Ranges

Displays additional hours separated by the calculation ranges applied.

Days with Overtime

Shows the number of days on which Overtime was generated.

Days with Additional Hours

Shows the number of days on which additional hours were identified.

Average Overtime

Displays the average Overtime within the group of employees or records considered in the card.

The same metric may also appear as Extra hours average.

OT between 02 and 04hrs

Identifies Overtime occurrences or values within the 2-to-4-hour range.

OT greater than 04hrs

Identifies Overtime occurrences or values greater than 4 hours.

Overtime between 2 and 4 hours

Identifies Overtime results between 2 and 4 hours.

Overtime higher than 2 hours

Identifies Overtime results greater than 2 hours.

Overtime higher than 4 hours

Identifies Overtime results greater than 4 hours.

When using metrics with similar limits, keep the same filters and review the view generated by the card before comparing the results.

Overtime on planned days

Shows Overtime generated on days that had a planned Schedule.

Overtime on unplanned days

Shows Overtime generated on days that did not have a planned Schedule.

Percentage of Overtime on planned or unplanned days

Displays the proportion of Overtime generated in each type of day compared with the analyzed group.

Deductions

Displays the hours deducted from the Overtime result according to the rules applied to employees.

7. Missing Hours, absences, and absence request metrics

Missing Hours

Displays the total hours missing from the planned Schedule.

Days with Missing Hours

Shows the number of days on which Missing Hours were identified.

Average Missing Hours

Displays the average Missing Hours within the analyzed group.

Absences

Displays the number of absences identified during the period.

Absence Hours

Displays the total duration of absences converted into hours.

Absences %

Displays the percentage of absences within the period and the group of employees considered in the card.

Paid Absences

Displays absences classified as paid according to the requests and applicable rules.

Absence Days

Shows the number of days covered by absences.

Days with Full-Day Absence Request

Shows the number of days covered by a full-day Absence Request.

Days worked during approved absence

Identifies days on which Worked Hours exist even though there is an approved absence for the same date.

This metric can help identify situations that need to be reviewed, such as an employee who recorded punches on a day covered by an absence.

Partial paid requests hours

Displays the hours associated with partial requests considered paid by Analytics.

Because the metric name is displayed in English, keep the term shown on the platform when selecting it.

Absenteeism (formula)

Displays the absenteeism indicator calculated by Analytics for the selected period and employees.

The result should be analyzed using the same date, team, department, and employee filters used in the other cards.

8. Delay and early exit metrics

Total Delays

Displays the number of delay occurrences.

Delay Hours

Displays the total duration of delays.

Average Delay Hours

Displays the average duration of identified delays.

Example:

• First delay: 10 minutes;
• Second delay: 20 minutes;
• Average: 15 minutes.

Delays (Without Breaks)

Displays delays excluding occurrences related to returns from breaks.

Total Early Exits

Displays the number of occurrences in which the employee ended work before the planned time.

Early Exit Hours

Displays the total duration of early exits.

Average Early Exit Hours

Displays the average duration of early exits.

Early Exits (Without Breaks)

Displays early exit occurrences without considering records related to breaks.

9. Break metrics

Break Hours

Displays the total hours spent on breaks.

Planned Break

Displays the total or duration of breaks planned in the Schedule.

Break different from planned

Displays breaks taken under conditions different from those planned in the Schedule.

The difference may be related to the break times or duration, depending on the data analyzed by the card.

Incomplete Breaks

Displays the number of break hours that do not have all required punches approved.

Days with Incomplete Breaks

Shows the number of days with at least one incomplete break.

Days with Irregular Breaks

Shows the number of days on which the break did not follow the planned Schedule or the criteria analyzed by the card.

Break shorter than 1hr

Identifies breaks lasting less than one hour.

Break taken <1h

Identifies breaks actually taken with a duration of less than one hour.

Break shorter than 1hr on a 6hr Schedule

Identifies situations where the break was less than one hour on days with a 6-hour Schedule.

06 hrs worked without break

Identifies days on which 6 hours of work were performed without a recorded or considered break.

Break shorter than 15min on a 4hr Schedule

Identifies situations where the break taken was shorter than 15 minutes on a 4-hour Schedule.

Days with Pending Break

Shows the number of days with at least one break with Pending status.

Before analyzing the result, check whether the day's Schedule has already ended and whether the employee's Exit was recorded and approved.

10. Cross Shifts metrics

Cross Shifts refers to the rest period between the end of one Schedule and the beginning of the next. This rest period must be at least 11 hours.

When the employee rests for less than 11 hours, the system calculates the difference between the minimum rest period and the rest actually taken.

Example:

• Minimum rest: 11:00;
• Actual rest: 10:00;
• Rest deficit: 01:00.

In this scenario, 01:00 of Cross Shifts was generated.

Cross Shifts Hours

Displays the rest deficit compared with the minimum 11-hour period.

The calculation considers:

11 minimum rest hours − actual rest

Example:

• The employee ended one Schedule at 22:00;
• Started the next Schedule at 08:00;
• The actual rest period was 10:00;
• The Cross Shifts Hours metric will display 01:00.

If the employee rests for 11 hours or more, there will be no Cross Shifts deficit for that period.

Total Cross Shifts

Displays the number of occurrences in which the rest between two Schedules was shorter than the minimum 11 hours.

Example:

• On three occasions, the employee had rest periods of 10:00, 09:30, and 11:00;
• The first two situations generate Cross Shifts;
• The 11-hour rest does not generate a deficit;
• Total Cross Shifts will be two occurrences.

Cross Shifts - Ranges

Displays Cross Shifts Hours separated by the calculation ranges configured in the Pay Policy.

Example:

• The employee generated a 01:00 rest deficit;
• This hour will be distributed among the ranges configured for the Cross Shifts calculation;
• The card may display the values separately according to the rules applied.

Inverse Cross Shift

Displays the inverse calculation of Cross Shifts Hours. Instead of showing the deficit remaining to reach 11 hours, the metric displays the actual rest period between Schedules.

Example:

• Minimum rest: 11:00;
• Actual rest: 10:00;
• Cross Shifts Hours: 01:00;
• Inverse Cross Shift: 10:00.

Therefore:

• Cross Shifts Hours shows how much was missing to complete 11 hours;
• Inverse Cross Shift shows how long the employee actually rested.

When analyzing these metrics, check the end time of the previous Schedule and the start time of the next one.

11. On Call and Night Shift metrics

On Call

Displays the total hours classified as an On Call period.

On Call - Activation

Displays the hours during which the employee was called during the On Call period.

On Call without activation

Displays the On Call period excluding hours when an activation occurred.

Night Shift 20%

Displays the hours classified in the 20% night range according to the applicable rules.

Night Shift

Displays the hours considered for the Night Shift calculation.

Night Overtime

Displays Overtime performed during the night period.

12. Punch and irregularity metrics

Pending Punches

Displays the number of punches still awaiting approval.

Invalid Punches

Displays the number of punches classified as invalid.

Approved Punches

Displays the number of approved punches.

Selected Punches

Displays the number of punches considered according to the selection and filters used in the card.

Days with Pending Punches

Shows the number of days with at least one punch with Pending status.

Days with Invalid Punches

Shows the number of days with at least one invalid punch.

Days with Odd Punches

Shows the number of days that have an odd number of punches considered by the metric.

An odd number may indicate that a punch is missing to complete a work period or break.

Example:

• Entry;
• Break start;
• Break return;
• No Exit punch.

In this case, the day has three punches and should be reviewed.

Days with Approved Odd Punches

Shows the number of days in which the number of approved punches is odd.

This metric specifically considers the number of punches that have already been approved.

Example:

• The day has four punches;
• Three are approved;
• One remains Pending;
• The day may be included in this metric because it has three approved punches.

This analysis helps identify Schedules that may still be incomplete even when some records have already been approved.

13. Other available metrics

Number of employees

Displays the number of distinct employees considered by the card filters.

Schedule Exception

Displays occurrences related to exceptions applied to the Schedule during the analyzed period.

Worked Hours on unplanned days

Displays the total work performed on days that did not have a planned Schedule.

Absence Requests

Displays days or occurrences related to Absence Requests, according to the card being used.

Supplementary Hours

Displays hours classified by Analytics as supplementary within the selected period and employees.

14. How to interpret totals, averages, and percentages

Metrics with similar names may display different results:

• Total: adds all hours or occurrences;
• Days with: counts how many days presented a specific condition;
• Average: displays the average value within the group considered by the metric;
• Percentage: displays the proportion compared with the analyzed total;
• Ranges: separates the result according to configured rules or phases;
• Accumulated: considers the accumulated balance within the corresponding period;
• For the Day: displays only the result generated on each date;
• Approved: specifically considers records that already have this status.

Example:

• Delay Hours: adds 10 minutes and 20 minutes, resulting in 30 minutes;
• Total Delays: displays 2 occurrences;
• Average Delay Hours: displays 15 minutes.

Tips or troubleshooting

• The card does not display data: expand the period and review all global and internal filters.
• The result differs from a report: check whether the period, employees, and metric being used are the same.
• A recent adjustment still does not appear: wait for the Analytics update, which occurs every 3 hours.
• Accumulated Hours Bank differs from the bank for the month: the accumulated balance considers the Hours Bank period configured in the Pay Policy. To view only the month, use daily or period metrics.
• The total differs from the average: confirm whether the card uses a sum, average, percentage, or number-of-days metric.
• Values appear for employees who should not be included: review the Team, Department, Branch, and Supervisor filters.
• The value appears incomplete: check whether there are punches or requests pending approval.
• I cannot find a specific metric: some measures are available only in specific dashboards or cards.
• Some metrics have English names: keep the name displayed on the platform and check the card context before using them in an export.
• A day with four punches appears under approved odd punches: check the status of each punch. The day may have four records in total but only three approved.
• A break metric shows an unexpected result: confirm the planned Schedule, actual times, and duration considered by the card.

Best practices

• Always apply the Date filter before comparing results.
• Use the same metric and the same filters in every comparison.
• Differentiate period movement from accumulated balance.
• Combine Employee, Team, or Department with hour metrics to identify where results are concentrated.
• Review pending punches and requests before closing.
• Wait for Analytics to update after making corrections.
• Export data when you need to review detailed results in a spreadsheet.
• Record which filters were used when sharing an analysis with others.
• When comparing similar metrics, check whether one considers hours, days, occurrences, averages, or only approved records.

Frequently asked questions

1. Which metric should I use to see how much Hours Bank each employee generated during the month?

Apply the filter using the first and last day of the month and use Hours Bank, Positive Hours Bank for the Day, or Negative Hours Bank for the Day. Do not use Accumulated Hours Bank if you only want to consider movements from that month.

2. What is the difference between Hours Bank and Accumulated Hours Bank?

Hours Bank displays the result generated during the analyzed period. Accumulated Hours Bank considers the bank period configured in the employee's Pay Policy.

3. Why can Accumulated Hours Bank differ from the sum of the filtered days?

Because the accumulated period may start before the initial date selected in Analytics.

4. What is the difference between Accumulated Hours Bank and Accumulated Hours Bank - Ranges?

Accumulated Hours Bank displays the total accumulated balance. Accumulated Hours Bank - Ranges separates that balance by the configured phases or ranges.

5. Which metric shows the hours deducted from the Hours Bank?

Use Hours Deducted from Hours Bank.

6. What is the difference between Total Delays and Delay Hours?

Total Delays counts occurrences. Delay Hours adds the duration of all occurrences.

7. What is the difference between Overtime and Days with Overtime?

Overtime displays the total duration. Days with Overtime counts how many days generated those hours.

8. Which metric shows days with more than 1 hour and 30 minutes of Overtime?

Use Days with Overtime greater than 1:30 hrs.

9. Which metric helps identify more than 12 consecutive worked days?

Use Consecutive Worked Days over 12.

10. How do I identify an employee who worked during an approved absence?

Use Days worked during approved absence and combine the metric with the Employee dimension.

11. Which metric shows pending breaks?

Use Days with Pending Break to view the number of days that have at least one Pending break.

12. What is the difference between Days with Odd Punches and Days with Approved Odd Punches?

Days with Odd Punches identifies days with an odd number of punches considered by the metric. Days with Approved Odd Punches specifically considers the number of punches that have already been approved.

13. Can a day with four punches appear under Days with Approved Odd Punches?

Yes. This can happen when there are four records, but only three are approved and the fourth remains Pending or Invalid.

14. Why is Analytics different from Super Punch or a report?

Check whether the filters and periods are the same, whether the records are approved, and whether the Analytics update has already occurred, which happens every 3 hours.

15. Can I compare teams or departments?

Yes. Use the Team or Department filters and keep the same period and metric in every comparison.

16. What does a metric with “Average” in its name mean?

It means Analytics displays the average value within the group considered by the metric, such as employees, days, or occurrences.

17. What does a metric with “Ranges” in its name mean?

It means the value is separated by the configured calculation phases or ranges.

18. Why doesn't a metric appear in every card?

Available metrics vary depending on the selected dashboard and card.

19. How do I download the data?

Expand the card and use the download icon when available.

20. How can I tell which filters were applied?

Review the FILTERS panel and the internal filters of the expanded card. Both types of filters can be applied at the same time.