Scenario Laboratory
Every Assumption in One Control Panel
Live model position
Assumptions changed from default
All assumptions are at their default values.
Saved scenarios
Scenarios capture the full assumption set. They are stored in this browser's local storage only.
Every CSV opens with a scenario metadata block — scenario name, export timestamp, currency basis, SAM method, the list of assumptions changed from default, the validation status and audit digest, any acknowledged override and a reproducible link — followed by fully labelled columns. Each file then closes with the validation audit trail: every check performed and its outcome, the changes made from baseline, the resolution actions recorded in this session, and the final resolved values used for the exported calculations. Shared links carry the same audit digest.
Pre-export validation
0 range errors · 0 source conflicts
All values sit inside their permitted low–high ranges and are consistent with their registered source types. Exports and shared links are safe to distribute.
No scenarios saved yet in this browser.
Assumption comparison
Side-by-side reading of the live working set against the base scenario (platform defaults) or any saved scenario, with permitted lows and highs, units, source types and confidence levels.
Comparing the live working set against Base scenario (platform defaults) — 0 of 29 displayed assumptions differ.
| Assumption | Category | Baseline | Current | Difference | Change | Unit | Permitted range | Source type | Confidence | Actions |
|---|---|---|---|---|---|---|---|---|---|---|
| US EAM CAGR | Market growth | 8.60 | 8.60 | — | % | 4.00 – 14.00 | Published (external) | high | ||
| US predictive maintenance CAGR (selected) | Market growth | 20.00 | 20.00 | — | % | 5.00 – 30.00 | user_scenario | illustrative | ||
| US FSM CAGR | Market growth | 9.30 | 9.30 | — | % | 4.00 – 15.00 | Published (external) | high | ||
| US MRO CAGR | Market growth | 1.77 | 1.77 | — | % | 0.00 – 5.00 | Published (external) | high | ||
| EAM applicable share | Applicable expenditure | 15 | 15 | — | % | 0 – 40 | internal_assumption | illustrative | ||
| Predictive maintenance applicable share | Applicable expenditure | 10 | 10 | — | % | 0 – 40 | internal_assumption | illustrative | ||
| FSM applicable share | Applicable expenditure | 12 | 12 | — | % | 0 – 40 | internal_assumption | illustrative | ||
| Additional connected-compliance expenditure | Applicable expenditure | 0.60 | 0.60 | — | US$B | 0.00 – 5.00 | internal_assumption | illustrative | ||
| Overlap discount — EAM versus predictive maintenance | Overlap adjustment | 25 | 25 | — | % | 0 – 60 | internal_assumption | medium | ||
| Overlap discount — EAM versus FSM | Overlap adjustment | 20 | 20 | — | % | 0 – 60 | internal_assumption | medium | ||
| Overlap discount — predictive maintenance versus FSM | Overlap adjustment | 10 | 10 | — | % | 0 – 60 | internal_assumption | medium | ||
| Multi-category residual adjustment | Overlap adjustment | 10 | 10 | — | % | 0 – 40 | internal_assumption | medium | ||
| Industry relevance | Serviceable addressable market | 55 | 55 | — | % | 0 – 100 | internal_assumption | illustrative | ||
| Compliance sensitivity | Serviceable addressable market | 40 | 40 | — | % | 0 – 100 | internal_assumption | illustrative | ||
| Digital readiness | Serviceable addressable market | 45 | 45 | — | % | 0 – 100 | internal_assumption | illustrative | ||
| Suitable execution workflows | Serviceable addressable market | 35 | 35 | — | % | 0 – 100 | internal_assumption | illustrative | ||
| Connected-tool availability | Serviceable addressable market | 35 | 35 | — | % | 0 – 100 | internal_assumption | illustrative | ||
| Capture percentage of SAM | Market capture | 0.50 | 0.50 | — | % | 0.00 – 5.00 | user_scenario | illustrative | ||
| Average annual contract value | Commercial | 175,000 | 175,000 | — | US$ | 25,000 – 1,000,000 | internal_assumption | illustrative | ||
| Annual platform revenue per user | Commercial | 1,200 | 1,200 | — | US$ | 600 – 2,400 | internal_assumption | illustrative | ||
| Annual revenue per managed asset | Commercial | 90 | 90 | — | US$ | 25 – 250 | internal_assumption | illustrative | ||
| Charge per evidenced workflow | Commercial | 1.00 | 1.00 | — | US$ | 0.25 – 5.00 | internal_assumption | illustrative | ||
| Enterprise platform fee | Commercial | 120,000 | 120,000 | — | US$ | 50,000 – 500,000 | internal_assumption | illustrative | ||
| Annual logo churn | Commercial | 5.00 | 5.00 | — | % | 0.00 – 25.00 | internal_assumption | illustrative | ||
| Account expansion revenue | Commercial | 7.00 | 7.00 | — | % | 0.00 – 30.00 | internal_assumption | illustrative | ||
| Gross margin | Operating | 75 | 75 | — | % | 40 – 90 | internal_assumption | illustrative | ||
| Enterprise sales-cycle duration | Commercial | 9 | 9 | — | months | 3 – 24 | internal_assumption | illustrative | ||
| Implementation capacity per year | Operating | 40 | 40 | — | customers | 2 – 200 | internal_assumption | illustrative | ||
| US industry weighting | Serviceable addressable market | 100 | 100 | — | % | 25 – 100 | user_scenario | illustrative |
Baseline values are the published or modelled defaults registered for each assumption. Differences are stated in the assumption's own unit; percentage change is measured against the absolute baseline value and is omitted where the baseline is zero.
Impact summary
Which assumption changes drive the revenue and ROI difference between your scenario and the baseline, ranked by attributed effect with totals and an interaction residual.
Your scenario matches Base scenario (platform defaults) on every assumption, so there is no movement to attribute. Change an input in the control panel above to populate this ranking.
How impact is attributed
Attribution is one-at-a-time. For each assumption that differs from the baseline, the full model is recomputed with that single input reverted to its baseline value; the difference against your current position is the revenue, SAM and ROI attributable to that input. Ranking is by absolute revenue impact.Revenue impact = modelled revenue (current set) − modelled revenue (current set with this input at baseline). Modelled revenue = overlap-adjusted software envelope × applicability filters × US industry weighting × capture percentage, using the selected SAM method.ROI impact is measured on a fixed reference enterprise (300 users, 4,000 assets, 180,000 workflows per year) whose operating parameters are held constant, so movement reflects pricing assumptions only. Recurring ROI = (annual gross benefit − annual contract value) ÷ annual contract value, reported in percentage points.Because the model contains products of several inputs, the attributed figures do not sum exactly to the total movement. The difference is disclosed above as the interaction residual rather than being distributed silently across the ranked rows.
Validation review
Every blocking error and source-consistency warning across the assumption register, with a jump-to-field action so each can be resolved before you export or share.
Passed — all values within permitted ranges and consistent with their source types
No outstanding issues — every value sits inside its permitted range and matches its registered source type.
Blocking errors are values outside their permitted low–high range; exports and shared links are held until they are corrected or explicitly acknowledged. Warnings flag defensible departures — chiefly overriding a published, government or calculated figure — and are recorded in export metadata.
Market growth
Derived from the published 2025–2035 US EAM forecast (Orion Market Research).
The published 24.3% CAGR is a global forecast. A US-specific rate is selected by the investor rather than inherited.
Derived from the published 2025–2030 US FSM forecast (MarketsandMarkets).
Implied by the published 2025 and 2030 US MRO market values.
Applicable expenditure
User-entered allowance for connected-worker, industrial IoT and compliance expenditure not captured by the three published categories.
Overlap adjustment
Published categories double-count asset condition and maintenance planning functionality.
Work-order management is reported inside both categories.
Limited but real overlap in dispatch triggered by condition monitoring.
Residual allowance for functionality counted in three or more published categories.
Serviceable addressable market
Share of expenditure in industries performing procedure-based controlled maintenance.
Share of activity where evidentiary defensibility carries budget authority.
Share of organisations with systems and connectivity able to support controlled execution.
Share of maintenance workflows suited to sequence enforcement and automated evidence capture.
Share of environments with tools capable of transmitting telemetry or calibration data.
Weighting applied to the selected US industry mix within the addressable model.
Market capture
Scenario input only. No particular market share is asserted.
Commercial
Internal pricing assumption for a multi-site enterprise deployment. Not a published market price.
Internal per-seat modelling assumption within the suggested US$600–US$2,400 band.
Internal per-asset modelling assumption within the suggested US$25–US$250 band.
Internal transaction-pricing assumption within the suggested US$0.25–US$5.00 band.
Internal base platform fee assumption within the suggested US$50,000–US$500,000 band.
Enterprise compliance software typically retains well; a mid-single-digit rate is modelled.
Expansion from additional sites, users and asset classes within existing accounts.
Regulated-industry procurement including security and validation review.
Operating
Cloud, AI processing, support and implementation delivery costs net of recurring revenue.
Delivery constraint applied to new customer additions.
Modelled output based on selected assumptions. Nothing on this page constitutes a valuation, forecast or offer.