Unified Startup Enablement & Growth Platform

Track Your Team Growth — Before It Becomes Chaos

Employee Analytics gives you visibility into headcount trajectory, attrition, department composition, and compensation trends. It answers: Are we hiring too fast? Which teams are bleeding people? When will payroll kill our runway?

Most founders manage hiring reactively (person leaves → hire fast) instead of strategically. This tool flips that: you see hiring velocity, attrition trends, and compensation runaway before they become problems.

Headcount Trends: Hiring velocity, attrition rate, department mix over time
Payroll Impact: Monthly salary cost, average comp, runways at current burn
Attrition Prediction: Which teams have highest turnover; when to expect departures
Dept Composition: Engineers vs Sales vs Ops — am I hiring in the right ratio?
Benchmark Comparison: Your hiring pace vs stage-appropriate norms

Optimal Team Size by Stage

The Rule of Thumb

Seed (₹50L ARR): 8–12 people. Heavy on engineering (50%), some sales/operations (25% each)
Series A (₹2-5Cr ARR): 15–25 people. 40% engineering, 35% sales, 25% operations
Series B (₹5-20Cr ARR): 30–60 people. 30% engineering, 40% sales, 30% operations
Series C+ (₹20Cr+ ARR): Hire based on role — no single template

Red flags: More salespeople than engineers at Seed (you're selling before building). Too many operations hires at Series A (premature scaling). More managers than doers (bureaucracy arriving).

Attrition and What It Signals

<5% annual: Healthy. People want to stay.
5–10% annual: Watch for patterns. Is one person always leaving? One manager losing team?
>10% annual: Problem. Something is broken — culture, compensation, leadership, or product direction

Frequently Asked Questions

How fast should I hire?+

Revenue / person should stay roughly constant as you grow. At Seed, you might have ₹50L ARR with 10 people (₹5L revenue per person). At Series A, ₹5Cr ARR with 20 people (₹25L per person). Keep this ratio healthy or you're adding headcount faster than revenue grows.

When should I hire my first sales person?+

Once engineering is spending >50% of time on support/sales questions instead of product. That's when a dedicated salesperson pays for itself. Too early: they have nothing to sell. Too late: you're leaving revenue on the table.

What should comp be at different stages?+

Engineers: Base ₹12–18L + equity. Sales: Base ₹8–12L + 20–30% commission. Ops: Base ₹8–12L. These are India market rates at 2026. Equity: Seed founders 0.5–1% per early engineer, diluting by 50% per round as you hire more people.

Key Takeaways for Employee Analytics

Revenue per person is your most important hiring metric

If you're at ₹50L ARR with 10 people (₹5L per person) and hire 5 more with zero new revenue, you've just made your company less efficient. Revenue per person should grow or stay flat as you scale. If it drops, you're hiring ahead of revenue — acceptable for 1 quarter, not 2.

Hiring fast and losing people fast is expensive

Turnover cost: 3 months to hire, 2 weeks to onboard, month to be productive, then they leave after 18 months. That's 18 months of productivity from a 2-year hire. Turnover at 5 people costs you 4–6 months of payroll in lost productivity and rehiring. Fix culture before scale.

Inside Corpfy Employee Analytics

Corpfy's Employee Analytics dashboard tracks headcount, compensation bands, and attrition rates across departments — with market rate comparisons built in. You'll know if your engineering team is overpaid relative to market (red flag for burn) or underpaid (red flag for retention) without running a separate compensation benchmarking exercise.

What you get in the dashboard

Feature	What it does	Founder benefit
Headcount by Department	Tracks Engineering, Sales, Ops, and other departments over time with visual trend	Catch hiring imbalances early — e.g. Sales outpacing Engineering before product is ready
Compensation Band Manager	Compares your average base (₹L) per role against market low/high and flags "in-range" vs "overpaying"	Benchmark data from India market rates (Engineers ₹12–18L, Sales ₹8–12L, Ops ₹8–12L)
Attrition by Department	Tracks attrition rate per department YoY with thresholds: healthy <5%, watch 5–10%, problem >10%	Early warning before a department-level attrition spike hits your runway
Revenue per Person	Calculates ARR divided by total headcount — the key productivity metric at Series A	Benchmark yourself: India SaaS Series A target is ₹80–120L revenue per employee
Monthly Payroll Burn	Aggregates total monthly compensation cost across all departments	Payroll burn as a % of MRR is visible at a glance — no spreadsheet pivot required