SCENARIO PLANNING — WHAT-IF ANALYSIS
Explore Conditional Futures. Claim No Foreknowledge.
Scenario Planning is the controlled experimentation layer of Workforce Intelligence — explore what happens to workforce capability, capacity, cost and risk when assumptions change, without ever presenting a scenario as a prediction.
What happens to workforce capability, capacity, cost and risk if our assumptions change?
The Scenario Model
A scenario is a chain of consequences, not a crystal ball. Baseline in, outcome out — with every assumption visible on the way.
Baseline
The current plan, stated and dated
Assumption change
One or more assumptions deliberately altered
Work / skills
How the changed work reshapes skill demand
Workforce
Who and how many — capability, capacity, location
Cost / capacity
What the change does to money and throughput
Risk
What becomes fragile under this future
Outcome
A comparison humans can act on — or reject
A scenario explores conditional consequences under stated assumptions; it does not claim to know which future will occur.
Run a Workforce Scenario
A short, self-guided simulation on explicitly illustrative data. Pick two scenarios from the template library, move the sensitivity control, and compare all three lanes — baseline included.
Scenario template library (editable in production)
Pick two scenarios to compare (A and B)
Scenario A
Scenario B
Slide to see which lane responds — sensitive assumptions are exactly what the ledger should track.
Three-lane comparison
| Dimension | Baseline (current plan) | Scenario A | Scenario B |
|---|---|---|---|
| Workforce requirement | — unchanged current-plan line — | +96 FTE over horizon | −41 FTE, +14 technical FTE |
| Skills gaps | — unchanged current-plan line — | Regional + language capability gaps | Bot maintenance + exception handling |
| Cost | — unchanged current-plan line — | +$2.1M run-rate (+$0k at 40% coverage) | +$0.7M year one, −$1.3M after (+$60k at 40% coverage) |
| Capacity | — unchanged current-plan line — | Strained — hiring lag risk · automation 40% | Improves from month 6 · automation 40% |
| Risk posture | — unchanged current-plan line — | Elevated — market dependence | Moderate — transition risk |
| Learning need | — unchanged current-plan line — | +38% learning demand | +52% learning demand |
| Hiring need | — unchanged current-plan line — | +70 external hires | +12 external hires |
Baseline lane stays untouched on purpose — the current plan is the reference every scenario is measured against.
Assumption Ledger (governance artifact)
| Assumption | Source | Owner | Confidence | Sensitivity | Last validated |
|---|---|---|---|---|---|
| Demand volume follows strategy plan | Strategy office plan v4 (fictional) | Chief of Staff (fictional) | High | High | This quarter |
| Automation coverage reaches 40% | Process study (fictional) | COO office (fictional) | Medium | Very high — move the slider | Last quarter |
| Attrition holds at 14% | 3-year HRIS baseline (fictional) | People Analytics (fictional) | Medium | Medium | This quarter |
| Hiring market stays open | Labor-market review (fictional) | TA Lead (fictional) | Low | High | Two quarters ago — refresh due |
Illustrative model on synthetic data. Results show assumptions, context and provenance — never mistake them for actual organizational recommendations.
The Scenario Builder & Library
Templates give leaders a starting point; every assumption stays editable, and every scenario remembers where its numbers came from.
Scenarios are tools for thinking together — never substitutes for judgment.
The Assumption Ledger
Every scenario carries its assumptions as a governed artifact: assumption, source, owner, confidence, sensitivity and last validation date.
If an assumption cannot name its owner and source, it is not ready to drive a decision.
AI & Agentic Intelligence — Orchestrated, Never Automatic
Scenario architect agent
Turns a stated question into a structured scenario skeleton
Assumption tracker agent
Watches for stale validations and unowned assumptions
Impact modeler agent
Projects workforce, cost and capacity consequences
Sensitivity scout agent
Finds which assumptions the outcome leans on hardest
Comparison writer agent
Drafts side-by-side narratives with uncertainty kept intact
Scenario auditor agent
Ensures no lane reads as a prediction or a recommendation
One Canvas, Every Decision Context
CEO
Which futures threaten the plan — and what would we do in each?
CHRO
Workforce consequences per scenario, with capability and morale effects
CFO
Cost lanes and the assumptions the deltas rest on
COO
Capacity under each future — where operations strain first
CTO / CIO
Technology transformation scenarios and their workforce wake
Business leaders
Your unit under each lane, with your response options
CONCEPT FILM · 90–120S
Two Futures Walk Into a Boardroom
90–120s · reserved film slot
Scenarios don't know the future. They prepare you for it.
Trust, Governance & Responsible Intelligence
Run the Futures Before They Run You.
Explore conditional consequences under stated assumptions — with a ledger that remembers what every number rested on.