What-ifs & scenarios
Ask what if, before you decide.
On an answer's chart, change a number and the answer is worked out again from its own records. On a forecast, carry the change forward. On a model, score people again with an input changed. Or ask what change would reach a goal. Every result says which kind it is.
- ExactOn the answer14.6% → 12.9%Attrition, grade 5, last 12 months
- ProjectedOn the forecast15.2% → 13.1%Attrition, next 6 months
- EstimatedOn the model18 → 11People at high risk of leaving
What-ifs & scenarios, part by part.
- 01
Exact, on an answer
The answer's own records are added up again with the change — the result is exact.
- 02
Projected, on a forecast
The change is carried forward through the forecast, and marked projected.
- 03
Estimated, on a model
People are scored again with an input changed — who would be at risk then — and the result is marked estimated.
- 04
Find the change, then keep it
Work out the change that reaches a goal, keep up to four what-ifs on a chart to compare, and save the plan with what each was worked out from.
Pick, Change, Work it out again, Compare and keep.
- Step 1
Pick
An answer, a forecast or a model.
- Step 2
Change
An assumption, a number, an input.
- Step 3
Work it out again
Exact, projected or estimated.
- Step 4
Compare and keep
Side by side, then saved with its records.
Every result says what it is
- Exact
- On an answer's chart: its records added up again with the change.
- Projected
- On a forecast: the change carried forward, or assumed where it must be.
- Estimated
- On a model: people scored again with an input changed.
- Find the change
- The size of change that would reach a goal you set.
- Compare
- Up to four what-ifs on a chart kept and listed together; the one on screen can be added to the chat.
- Keep
- A saved plan keeps what each what-if was worked out from — an answer's records, a forecast's rows or the model's fit — to download or work out again.
Questions it answers, in your words.
- “What happens to attrition if we close the pay gap in grade 5?”
- “What if hiring in Sales slows by 20% next quarter?”
- “How much would pay need to rise to bring attrition under 12%?”
On the same model and graph
- Forecasts & predictionsForecasts with ranges you can trust, and predictive models you can read.
- Root cause analysisWhere a KPI moved and why: the change split, causes searched in your own graph, each hypothesis tested.
- Workforce IntelligencePlan the workforce you will need, and who could step into its critical roles.
Your next people decision, with the why attached.
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