Answer: Most HR teams have the data they need to make better decisions — they just can not get to it fast enough. Google Sheets, connected to your HRIS and ATS via Make.com, gives you real-time HR dashboards without a BI budget or a data team. These 11 dashboards cover the metrics that drive actual decisions.

Key Takeaways

• Google Sheets is a viable HR analytics platform when connected to live data via Make.com
• Build data pipelines before building dashboards — bad data feeds produce misleading charts
• Start with the 3 highest-stakes metrics for your current business priorities
• Automate data refresh so dashboards are always current without manual exports
• All 11 dashboards below are buildable without a data engineering team

HR analytics does not require an expensive BI platform. Measuring AI ROI in talent acquisition starts with having the right data infrastructure — and Google Sheets connected via Make.com is sufficient for most teams up to 5,000 employees.

1. Time-to-Hire Tracker

Pull candidate stage dates from your ATS via Make.com into a Google Sheet. Calculate days between each stage automatically with DAYS() formulas. Chart the average per role, department, and recruiter. David, an HR Manager at a mid-market manufacturing firm, used this dashboard to identify that one hiring stage was adding 18 days on average — a bottleneck that had been invisible before.

2. Offer Acceptance Rate Dashboard

Track offers extended vs. offers accepted by role, salary band, and hiring manager. Make.com pulls data from your ATS daily. A declining acceptance rate by role signals a compensation or process problem before it becomes a vacancy crisis.

3. Live Headcount by Department

Make.com syncs your HRIS headcount data to a Google Sheet on a daily schedule. The sheet calculates headcount vs. plan by department, flags departments over or under target, and feeds a chart that refreshes automatically. No more manually counting org chart boxes.

4. Attrition Rate Tracker

Log every separation in your HRIS. Make.com pulls termination records to a Google Sheet where formulas calculate monthly and rolling 12-month attrition by department and tenure band. Early attrition spikes become visible before they damage team output.

5. Time-to-Productivity Dashboard

At 30, 60, and 90 days post-hire, Make.com triggers a brief manager survey. Responses populate a Google Sheet that calculates average time-to-productivity by role and hiring source. This closes the loop between recruiting and business outcomes.

6. Compliance Training Completion

Make.com pulls LMS completion data daily. The Google Sheet tracks completion rate vs. deadline by required training, department, and employee. Red/yellow/green conditional formatting flags at-risk groups. Compliance leadership sees the current state at any moment.

7. Recruiting Funnel Analysis

Track candidate counts at each pipeline stage. Make.com pulls ATS data daily and the sheet calculates stage-to-stage conversion rates. A low conversion at one stage identifies where your process or criteria need examination.

8. Compensation Benchmarking

Import salary survey data from your chosen benchmarking source into a Google Sheet. Make.com syncs current salaries from HRIS. The sheet compares current pay to market at the 25th, 50th, and 75th percentile by role — flagging roles where your compensation is below competitive.

9. Absence and Leave Tracker

Make.com pulls leave balances and usage from your HRIS daily. The sheet tracks days taken vs. balance by employee and flags employees approaching policy limits. Managers get a weekly summary for their direct reports.

10. Diversity Metrics Dashboard

Pull demographic data from HRIS (with appropriate privacy controls) into an aggregated Google Sheet. Track representation by department and level. Trend over time. This is not about surveillance — it is about knowing whether your programs are moving the needle.

11. HR Cost Per Hire

Combine ATS data (source of hire, time-in-process) with finance data (agency fees, job board spend, recruiter time) in a Google Sheet. Calculate total cost per hire by channel and role. Know which recruiting sources are actually cost-effective vs. which ones just feel like they are.

How We Built These

All 11 dashboards were designed and tested in live Google Sheets environments connected to Make.com. Each uses only native Google Sheets formulas (no Looker Studio, no BigQuery) and standard Make.com modules available on Core or Pro plans.

Frequently Asked Questions

How often does Make.com refresh the data?

You control the schedule — most teams run hourly or daily refreshes for operational dashboards. Real-time refresh is available for webhook-triggered data but is typically unnecessary for HR metrics.

Is Google Sheets secure enough for HR data?

With proper permissions (sharing restricted to named individuals, not “anyone with the link”), Google Sheets is appropriate for most HR analytics. For personnel records or payroll data, keep aggregate metrics in Sheets and keep raw records in your HRIS.