What-if analysis before spending
Sena projects where a metric lands if the team makes a move. The range and every assumption sit beside it and the call rests on a tested plan.
- 190+ countries
- 5M+ consumer network
- 250+ integrations
Figures in this exchange are illustrative.
Plans commit before the test
Teams commit to a budget on a single forecast number. The range decides whether the plan survives a bad month.
One number looks certain
A forecast with one figure reads as settled. A board approves it before seeing how wide the outcome could swing.
Assumptions stay buried
The beliefs behind a plan sit inside one spreadsheet. Finance meets them only after the budget locks.
Each scenario costs a rebuild
Each new what-if means a model rebuild. The meeting debates whichever scenario finished in time.
What-if scenarios are tested first
A simulation sets a target, a timeline, and the moves on the table. Each move gets its own projected path. The baseline shows where it heads if the team holds still.
- 01
It starts with a target
A planning lead names the metric and the date, such as active subscribers by a set month.
- 02
It lists the moves
Each move carries a cost the planning lead can edit. The lead names a new move, and Sena works it into the plan.
- 03
It shows the assumptions
Each assumption is numbered and ordered by how much it moves the outcome. The planning lead stresses one and sees which belief puts the target at risk.
Sena projects the path
Sena is a decision AI with access to real-world data. Simulations show where a plan lands before any budget moves.
Backed by company data
Sena builds each projection from uploaded files or connected systems such as Salesforce and HubSpot. The planning call starts from the company's own numbers. Markets outside the company's records get a capture that Sena orchestrates on request.
A range, measured
Monthly swings in the metric set the width of the range. Stronger input data narrows it.
The downside, seen first
Five stances run from pessimistic to optimistic. The projection recalculates, so the team sees the downside before committing.
One target, three moves
A revenue lead attaches files, and Sena builds a revenue report showing what drives it. Sena then simulates three corrective moves against the target. The lead brings the tested plan and its deck into the budget meeting.
Figures in this exchange are illustrative.
Scenarios worth testing first
Each card is a plan worth testing before the budget moves.
Setting next quarter's plan
A planning lead asks what happens to sales if marketing spend rises. Sena projects the path to the target, with the assumptions behind it. The lead adjusts the plan before the budget locks.
Testing a price rise
A revenue team asks what a price rise does to unit volume. Sena projects the change, and the team stresses each assumption. The price call rests on a range the team can defend.
Cutting the long tail
A portfolio team asks which products pick up a SKU's volume once it goes. Sena estimates the shift for each one. Finance phases the list so the safe cuts go first.
Checks behind every projection
A projection earns a place in the budget meeting once finance can check it.
- 01
Every assumption is visible.
Finance sees which belief moves the outcome most.
- 02
Unsourced values are marked.
Sena labels an unsourced value as an estimate to stress.
- 03
Captures pass QA first.
Every capture clears QA at several levels before a projection uses it.
- 04
The team owns the call.
The plan shows the range, and the team decides which risk to carry.
Where Simulations fits
Intelligence Layers
Sena runs four layers, and Simulations is the second.
Open Intelligence Layers Sena moduleSignals
Sena names, on request, the figures that moved since the team last asked.
Open Signals Sena moduleConsumer Activity
Sena orchestrates captures across 190+ countries for a projection, on request.
Open Consumer Activity Sena moduleDecisions
Decisions weigh each call against budget, timing, and capacity, and return the strongest with its reasoning.
Open DecisionsSee a plan tested
The demo tests one example plan against its target, with the range in view.
Questions about Simulations
01What is what-if analysis?
What-if analysis changes one input in a plan and projects the effect on an outcome. Sena Simulations, from Rwazi, runs it on a team's own data, with the range and assumptions shown.
02What are Sena Simulations?
Sena Simulations is the second intelligence layer with access to real-world data. It tests a move against a target before the team commits, and it is live today.
03What is the difference between scenario analysis and sensitivity analysis?
Scenario analysis changes several inputs together to describe one possible future. Sensitivity analysis moves one input at a time to see how far the outcome shifts. Sena supports both: a user tunes several assumptions into one scenario or stresses a single value.
04What is scenario modeling?
Scenario modeling builds a projection for each future a plan could face. In Sena, a user sets the target, the moves, and the assumptions. The projection updates as each one changes.
05How does Sena set the range around a projection?
Sena sets the range from how much the metric moves month to month. The quality of the data sets its floor, and stronger input data narrows it.
06What does Sena do when the data is thin?
Sena flags thin data plainly. With thin data, the range can run wider than any planned move can shift.
07How does a simulation support a decision?
A simulation projects the outcome of each move and shows the assumptions behind it. The team decides with the range in view. In the Decisions layer, next up, the strongest option will come back with its reasoning.
08Can AI do business forecasting?
Yes. Sena projects a metric's path over the coming months from team data. A range sits around that path. Each projection lists its assumptions, so finance can check the model before the plan changes.