“HiBob HR Headcount Trend Over Time”
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HiBob HR Headcount Trend Over Time

Analysis and reporting on headcount trend over time for managed service providers.

Built from: HiBob HR
How this report was made
1
Autotask PSA
Multiple data sources combined
2
Proxuma Power BI
Pre-built MSP semantic model, 50+ measures
3
AI via MCP
Claude or ChatGPT writes DAX queries, executes them, formats output
4
This Report
KPIs, breakdowns, trends, recommendations
Ready in < 15 min

HiBob HR Headcount Trend Over Time

Analysis and reporting on headcount trend over time for managed service providers.

The data covers the full scope of Autotask PSA records relevant to this analysis, broken down by the key dimensions your team needs for day-to-day decisions and client reporting.

Who should use this: MSP owners, HR leads, and operations managers planning workforce

How often: Monthly for headcount reviews, quarterly for planning, annually for budgeting

Time saved
Compiling workforce data from HR systems, PSA, and spreadsheets takes a full day. This report automates it.
Workforce clarity
Headcount trends, span of control, and organizational structure at a glance.
Planning data
Hiring decisions and organizational design backed by actual workforce metrics.
Report categoryHR & Workforce
Data sourceAutotask PSA · Datto RMM · Datto Backup · Microsoft 365 · SmileBack · HubSpot · IT Glue
RefreshReal-time via Power BI
Generation timeUnder 15 minutes
AI requiredClaude, ChatGPT or Copilot
AudienceMSP owners, HR leads
Where to find this in Proxuma
Power BI › HR › HiBob HR Headcount Trend Over Time
What you can measure in this report
Summary Metrics
Current by Client
Headcount Trend Over Time Trend (3 Quarters)
High Span-of-Control Managers
Hiring and Departure Trend
Department Growth Comparison
Key Findings
Strategic Recommendations
Frequently Asked Questions
Current
12M Growth
Hires (12M)
AI-Generated Power BI Report
HiBob HR Headcount Trend Over Time

Analysis and reporting on headcount trend over time for managed service providers.

Demo Report: This report uses synthetic data to demonstrate AI-generated insights from Proxuma Power BI. The structure, DAX queries, and analysis reflect real MSP data patterns.
1.0 Summary Metrics
Current
487
Active employees
12M Growth
+14.3%
Year-over-year
Hires (12M)
98
New employees
Departures (12M)
37
Attrition
View DAX Query - Summary Metrics
EVALUATE
ROW(
    "Current", COUNTROWS(BI_HiBob_Employees),
    "12M Growth", CALCULATE(COUNTROWS(BI_HiBob_Employees), BI_HiBob_Employees[status] = "Active")
)
What are these DAX queries? DAX (Data Analysis Expressions) is the formula language used by Power BI to query data. Each “View DAX Query” section shows the exact query the AI wrote and executed. You can copy any query and run it in Power BI Desktop against your own dataset.
2.0 Current by Client

Breakdown of headcount trend over time across managed clients.

Engineering
168
Sales
120
Customer Success
97
Product
75
Marketing
63
Finance
47
ClientCurrent12M GrowthHires (12M)Departures (12M)Status
Engineering487+14.3%9837Good
Sales350+10.3%7026Good
Customer Success282+8.3%5621Warning
Product219+6.4%4416Warning
Marketing185+5.4%3714Critical
Finance136+4.0%2710Good

Engineering has the largest team with balanced growth across all roles. Finance shows slower hiring velocity, which may constrain their delivery capacity. Monitor the manager-to-IC ratio as headcount scales to prevent bottlenecks.

View DAX Query - Current by Client
EVALUATE
SUMMARIZECOLUMNS(
    BI_HiBob_Employees[company_name],
    "Current", COUNTROWS(BI_HiBob_Employees),
    "12M Growth", CALCULATE(COUNTROWS(BI_HiBob_Employees), BI_HiBob_Employees[status] = "Active")
)
ORDER BY [Current] DESC
3.0 Headcount Trend Over Time Trend (3 Quarters)

How headcount trend over time has evolved over the past three quarters.

Q1 2026
168
Q4 2025
156
Q3 2025
142
MetricValue
Current Employees75
New Hires (logged)18
Managers14

The portfolio shows consistent improvement over three quarters, moving from 142 in Q3 2025 to 168 in Q1 2026. This upward trend reflects targeted optimization efforts. Maintain the current improvement cadence and extend attention to newly onboarded clients to sustain the trajectory.

View DAX Query - Headcount Trend Over Time Trend (3 Quarters)
EVALUATE ROW("TotalEmployees", [Total Employees], "TotalManagers", [Total Managers], "NewHires", COUNTROWS(FILTER('BI_HiBob_Employee_History', 'BI_HiBob_Employee_History'[work_change_type] = "New Employee")))
4.0 High Span-of-Control Managers

Managers with more than 8 direct reports, risking burnout and poor oversight.

ManagerDepartmentDirect ReportsSpan vs TargetTenure (yrs)Risk
Jan de GrootEngineering14175%3.2
Michael ChenEngineering12150%2.8
Emma RodriguezSales11137%4.1
Sarah BakkerCustomer Success9112%5.4
David KimProduct9112%1.8

Jan de Groot in Engineering carries 14 direct reports, 75% above the recommended maximum of 8. Combined with Michael Chen at 12 reports, Engineering has two managers operating far beyond sustainable capacity. Research consistently shows that managers above 10 direct reports deliver lower performance reviews and higher team attrition.

5.0 Hiring and Departure Trend

Monthly new hires and departures over 6 months.

MonthNew HiresDeparturesNet ChangeTurnover RateStatus
Nov 202583+51.8%
Dec 202542+21.2%
Jan 2026124+82.4%
Feb 2026106+43.5%
Mar 20268804.6%
Apr 202667-14.1%

Departures have doubled from 3 to 7 per month over six months while hiring has slowed from 12 (January) to 6 (April). March was the first month with zero net growth, and April saw the first net loss. Monthly turnover rate has risen from 1.8% to 4.1%, well above the 2.5% industry benchmark.

6.0 Department Growth Comparison

Which departments are growing and which are shrinking.

DepartmentCurrent HC6 Months AgoChangeGrowth %Budget Fill
Engineering4842+6+14.3%92.3%
Product1816+2+12.5%90.0%
Customer Success2422+2+9.1%85.7%
Sales1618-2-11.1%76.2%
Marketing121200.0%80.0%
Finance8800.0%100.0%
Operations67-1-14.3%66.7%

Engineering leads growth with +6 headcount (14.3%), aligned with product investment priorities. Sales has shrunk by 2 heads (-11.1%) and is only at 76.2% budget fill, which will directly impact revenue capacity. Operations lost 1 person and sits at 66.7% fill rate, the lowest in the organization.

7.0
Key Findings
!

Performance Gap Requires Attention

The gap between top and bottom performers is wider than expected. The bottom 20% scores more than 25 percentage points below the portfolio average, indicating structural issues that require targeted intervention.

!

Declining Trend in Moderate Risk Group

Entities in the moderate risk category show a declining trend over the past quarter. Without intervention, 3-4 of these entities may shift to the high-risk category within 60 days.

Top Performers Remain Consistent

The top 30% of the portfolio maintains stable performance above target, indicating current best practices are effective and can serve as a model for the rest.

8.0
Strategic Recommendations

1. Conduct a targeted review of all high-risk entities within 2 weeks. Document the root cause for each entity and create a remediation plan with clear deadlines and accountable owners.

2. Implement automated monitoring for the moderate-risk group. Set thresholds that trigger an alert when performance drops 5 percentage points below target, enabling early intervention before entities slip into high risk.

3. Schedule this report monthly as part of the QBR process. Use the trend data to verify that improvement initiatives are delivering measurable results across multiple quarters.

9.0
Frequently Asked Questions
How should we interpret changes in Current?

Growing headcount with stable manager ratios indicates healthy scaling. Growing headcount with declining ratios signals management bottlenecks that need addressing.

What headcount metrics matter most for workforce planning?

Net growth rate, department distribution, manager-to-IC ratio, and tenure distribution. Together these reveal whether growth is balanced and sustainable.

How does headcount data support MSP service delivery?

More employees means more endpoints, more support requests, and more complexity. Track headcount changes to proactively adjust service capacity.

What seasonal patterns affect headcount reporting?

Q1 and Q3 typically see higher hiring activity. Year-end often shows departures. Adjust your analysis for these cycles when comparing quarters.

What is the ideal span of control?

Research suggests 5-8 direct reports per manager is optimal. Below 5 creates management overhead. Above 8, the manager cannot provide adequate coaching, feedback, and career development. Above 12 is considered critical.

How should we calculate turnover rate?

Monthly turnover rate = (departures in month / average headcount) x 100. Annual turnover is the 12-month rolling sum. The MSP industry benchmark is around 15-20% annually, or roughly 1.5% monthly.

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