Find the
safer $15M.
See the ripple before you commit.
What happens to the business when cost comes out?
The board wants more profit.
Where do you find $15 million?
Your plan spreads the reductions across four budgets. The objective: $15M of direct annual savings by Month 24.
The simple estimate: $15M saved = $15M more profit.
Equal dollars are not equal cuts. Customer service gives up almost a quarter of its budget.
A growing company, already under pressure. Without cuts: $250M → $401M annualized revenue in 24 months (~26.7% annual growth). Service backlog crosses the 810-unit health-pressure line in Month 7. Synthetic company and work units.
What if we could test the cuts
before customers feel them?
what the plan has missed?
Same company. Same 24 months. First run the original plan, then compare the alternatives.
Scroll to begin Month 1.
Month 1.
Costs arrive. Capacity falls.
Scroll down to move the dominoes. Scroll up to replay.
The first reductions deliver $7M of annual savings. A $1.81M one-time transition charge arrives now; it is not an annual cost.
Actual dollars · not annualized
The saving lands.
Only part reaches recurring profit.
Other expenses fall as revenue falls; that relief does not count toward the $15M savings objective. The $1.81M of one-time charges remains in actual results: $18.69M cumulative EBITDA improvement and $18.16M cumulative cash improvement over 24 months.
Less cost. More profit.
Where does it leak?
FirstDomino connects the saving to the operating consequences. Turn over each domino to see the timing, constraints and measured effects.
Cut less service. Keep more profit.
Reducing the service cut from $2M to $1M lifts recurring EBITDA from $7.26M to $8.73M a year. But direct savings fall to $14M: there is still $1M to find elsewhere.
The plan counts the savings.
FirstDomino connects the consequences.
Reveal the operating paths, then select a node to inspect its mechanism. This is the same 14-node story view used in the working experience.
Scroll or move the slider to reveal the connected picture. Coral marks service pressure. On small screens, slide the canvas sideways to inspect all nodes.
Synthetic work units and capacity assumptions. One-time costs show this month’s actual charge; cash is cumulative; recurring EBITDA is annualized. No probability estimates are implied.
Make the risks visible.
Show a better set of choices.
You bring the board more than a cost target: the capacity at risk, the revenue consequences and the investment required to protect the business.
What if you pushed
a different set of dominoes?
Same company. Same $15M saving objective.
Scroll through four choices. Then bring them together.
Keep the cost base
No reductions. Growth still puts pressure on service.
at Month 24
No savings. Growth still creates service pressure.
More profit is only
half the decision.
The chart shows recurring annual EBITDA improvement. One-time charges and delayed savings still affect the cash you keep.
Keep the cost base
- Direct annual savings
- $0.00M
- 24-month cash improvement
- $0.00M
- One-time charges, total
- $0.00M
Spread the cuts
- Direct annual savings
- $15.00M
- 24-month cash improvement
- +$18.16M
- One-time charges, total
- $1.81M
Protect the front line
- Direct annual savings
- $15.00M
- 24-month cash improvement
- +$19.80M
- One-time charges, total
- $1.63M
Redesign, then reduce
- Direct annual savings
- $15.00M
- 24-month cash improvement
- +$14.18M
- One-time charges, total
- $2.83M
A better result. A different cash trade-off.
Redesign first gives the highest recurring profit uplift and clears the service backlog. Protecting the front line without waiting produces more cash within 24 months. The choice depends on your horizon and capacity risk.
All outcomes are differences versus the same no-action company. Direct savings exclude expense declines caused by lost revenue. Only recurring results are annualized. Redesign assumes up to a 25% productivity lift, costs $1.2M at launch plus $50K per month, and requires company evidence.
Test the delivery.
Then test the order.
What if only 70% arrives?
Cloud/vendor savings carry more of options 3 and 4. Change their delivery, and the $15M objective is no longer met.
Build capacity before removing it?
Use the option 4 allocation. Compare redesign in Month 1 and cuts in Month 7 with the reverse sequence.
0 unfinished service work units at Month 24.
Now push
your first domino.
Change the assumptions. Inspect the full canvas. Test what reaches profit—and what happens to the business.
Model, evidence & assumptions
Each strategy runs the existing company kernel and balanced ledger against a matched no-action company, with the same seed. Only delivered direct reductions count toward the $15M objective. Ongoing EBITDA is annualized; one-time charges, cumulative EBITDA and cumulative cash are shown in actual dollars.
Synthetic growth company, not a validated forecast. Even without cuts, growth creates service pressure. Cloud/vendor efficiencies assume no quality degradation; a 70% realization stress tests delivery risk, not quality risk. Budget/capacity elasticities and productivity need company evidence. Revenue-linked expense declines are excluded from the savings objective.
These are fixed reference results from the same pinned model as the profitability experience. Charts use actual monthly outputs. The narrative is authored explanatory content, not a separate causal inference engine or a probability forecast.
Model: cost-story-3.0 · Original plan run: 8fbb72cfca3730141bc2d1d485f8dd14b9cf3dd942c7504ee6cf52924e88d5a8