
Headcount and turnover dashboard
Is that turnover rate real, or one leaver on a small team?
- Tenure months
- Annual salary
- Engagement score
- Performance rating
HR dashboards
Four HR dashboards: headcount and turnover, an HR scorecard, HR analytics and compensation. Open any of them to see it in full, then use it as a template for your own data.



Three of the four examples. All figures are sample data.
The examples
Click a board to see all of it. Click Use template to start your own copy in Mammoth. All figures are sample data.

Is that turnover rate real, or one leaver on a small team?

What are the people numbers leadership looks at first?

Which teams stand out, and on what?

What does each level cost, and how does pay compare with tenure?
Your data
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Upload a spreadsheet and Mammoth turns it into a dashboard like these.
Definition
An HR dashboard is one screen that shows the state of your workforce: headcount, joiners and leavers, tenure, absence and cost. It is also called a human resources dashboard, an HR metrics dashboard or a people dashboard.
One leaver can swing a small team's rate.
Average tenure describes nobody.
Salary fields stay out of what managers see.
The metrics
Twelve numbers. Most go wrong because of a definition, not a calculation. Open each one to see what to agree before anything goes on screen.
How many people are there, and on what date?
A count date, and a stated rule for contractors, part-timers and people on notice. Head count and full-time equivalents are different numbers, and both get called headcount.
How many people joined and left?
Start and end dates, with internal moves left out. A promotion recorded as a new role counts as one leaver and one joiner, which inflates both.
Are we losing people faster than we were?
Leavers divided by average headcount over the same period, with regretted and unregretted leavers counted separately. On a small team one resignation swings a monthly rate, so use a rolling 12 months.
How long do people stay?
A start date for each person, shown as a spread rather than an average. An average of two years can be a stable team, or a churning one with a few long-serving people.
How much time is lost, and where?
Absence days against working days, adjusted for part-timers, with leave types kept apart. Counting parental leave as absence makes a team's figure meaningless.
Is pay consistent for the same work?
Salary on one stated date, in one currency, grouped by level rather than job title. Titles vary between teams. Levels are the only fair comparison most HR systems hold.
How do people feel about working here, and is it changing?
Survey responses with a team and a date, and a minimum group size before any score is shown. A score for a team of three identifies the people in it.
How much do we invest in developing people?
Training records with hours and a person, against average headcount for the same period. Counting mandatory compliance courses as development makes the number look generous.
How long do open roles stay open?
The date the role opened and the date an offer was accepted, from the recruiting system. A role put on hold without a status change inflates it for months.
What does it cost to fill a role?
Recruiting spend for the period (agency fees, advertising and recruiter time) divided by hires in the same period. Leaving out in-house recruiter time makes internal hiring look free.
Is the business more productive as it grows?
Revenue from finance and average headcount from HR over the same period, with contractors counted the same way on both sides. Two systems with different period dates is the usual reason this number jumps.
Do people at the same level get paid the same?
Salary, level and comparison group for each person, compared within a level rather than across the company, with a minimum group size before a figure is shown. A company-wide average mixes seniority with pay and hides both.
Reports and decks
Who joined, who left and what it costs, as a document instead of a screen. Built from the same sample data as the four dashboards above.

How to build one
From one of the examples above to a live dashboard on your own data.
Start from any of the four boards above.
Upload a spreadsheet, or connect one of 100+ tested connectors.
Fix and combine your data once. Mammoth repeats those steps for you.
The dashboard updates on a schedule and flags data that fails a check.
Public, password-protected or sign-in only, on every plan.
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FAQ
Last reviewed against the template catalogue.
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