Portfolio / Command center
✦ 100% LOCAL MODEL
Workforce strategy / Overview

Make capacity your advantage.

Connect staffing, skill readiness, workload and cost in one transparent planning workspace.

12-month workforce outlook

Modeled monthly demand and effective service capacity, hours

12-MONTH MODEL
Effective capacity Workload demand

Coverage by team

First-month demand covered by effective workforce capacity

Staffing signals

Where the baseline plan needs attention

Scenario snapshot

How outcomes change under four assumptions

Transparent simulation, not an employment forecast

Headcounts, costs, productivity and workload are fictional. Replace demo inputs before using the tool for any real planning decisions.

Planning & performance

Model the next 12 months.

Examine capacity, workload, staffing gaps and labor spend over time. Results update as assumptions change.

Capacity versus demand

Expected supply and modeled workload by month

SIMULATED
Capacity Demand

Monthly operating plan

Expected staffing uses fractional full-time equivalents after attrition

Workforce coverage by month

Coverage is capped at 100% for reporting

Planning assumptions

Applies to all teams in the current scenario

Sensitivity testing

Pressure-test every plan.

Choose a fictional scenario and tune hiring, demand and retention to explore tradeoffs between cost and service capacity.

Scenario presets

Each preset is editable without changing underlying team data

Scenario controls

Customize shock parameters for the selected profile

Deterministic sensitivity band

300 seeded perturbations of demand and attrition, illustrative only

Selected scenario

Annual modeled coverage and labor cost

Side-by-side comparison

All four scenario profiles applied to the same teams

The scenarios are thought experiments, not statistically calibrated forecasts. Numerical uncertainty bands illustrate assumed input variation, not probability intervals for real-world outcomes.
Editable team portfolio

Build your workforce model.

Maintain team headcounts, workloads, skill readiness, annual attrition, quarterly hiring and labor costs.

Team registry

All team data is local and editable; archive teams without deleting their history

Demo records may be archived and restored. Back up the JSON to move your data between browsers. Importing replaces the current model only after confirmation.
Methods & transparency

Know the assumptions.

Every calculation is designed to be explainable, reproducible and suitable for classroom demonstrations.

Workforce calculation model

Transparent, deterministic monthly mechanics

1. Effective workforce capacity

capacity = FTE × 140 hours × (0.65 + 0.35 × readiness/100) × (1 + productivity uplift). This assumes 140 productive base hours per FTE per month and uses skill readiness as a simplified productivity multiplier. This coefficient is hypothetical.

2. Workforce progression

FTE(next) = FTE(current) × (1 − annual attrition/12) + quarterly hires. Hires arrive in months 3, 6, 9 and 12. FTE may be fractional because it is an expected-value projection, not a literal people count.

3. Demand & gaps

demand(month) = starting hours × (1 + monthly growth)^(month−1) × (1 + scenario demand shock). Unmet demand is max(0, demand − capacity). Reported coverage is the sum of min(demand,capacity) divided by summed demand, not a prediction of customer service quality.

4. Costs & staffing recommendations

Modeled cost is FTE × monthly cost per FTE. Shortfall FTE assumes immediate availability at the current productivity level. It does not model hiring lead times, overhead, learning curves, leave, legal constraints or payroll taxes.

What this tool does not do

No AI model, labor-market data, live HR integration, employee tracking, predictive hiring engine, employment advice or calibrated financial forecast. It cannot establish the causal impact of headcount on business performance. All sample teams are fictional and user-configured values remain unverified.

Do not upload personal employee records to a public Space. This browser-only demo is intended for aggregate, non-sensitive planning inputs.

Data & portability

Simple, privacy-conscious demonstration architecture

Everything executes in your browser. No server, third-party scripts, paid models, API keys or outbound requests are required.

Optional localStorage keeps your inputs on the current browser; clearing browser data can erase them. Export a versioned JSON backup before important changes.

JSON imports are limited to 300 KB, 1 to 40 teams, validated numerical ranges and unique IDs. Text values are escaped before HTML rendering. CSV fields are quoted and spreadsheet-formula-like prefixes are escaped.

Open, reproducible portfolio project

Built as a self-contained Static Space: README.md, index.html, LICENSE. MIT licensed. No external dependencies.