Blog · Alternatives and comparisons · Finance and FP&A teams
Evaluate driver-based forecasting software against a workbook with explicit assumptions, saved forecast versions, and reconciled actuals. This guide works through a profit variance and shows which checks matter when comparing planning and analysis approaches.
Driver based forecasting software should be evaluated with a workbook that connects business assumptions to financial results, preserves forecast versions, and reconciles actuals. The best fit depends on whether your team needs to build plans, coordinate owners, or analyze the resulting variances. Test those jobs separately using the same files and expected answers.
A driver-based budget connects operating assumptions to revenue and costs. Software selection adds another question: can the team maintain those connections and explain what changed without losing the original expectation?
Write an acceptance brief around an ordinary monthly review. Sales supplies volume and price assumptions. Operations supplies unit costs and capacity limits. Finance keeps the approved version and reconciles actual revenue and expenses to the ledger.
Distinguish the annual target from the current outlook using the budget versus forecast definitions. Otherwise, a candidate can appear to handle version comparison while merely replacing the budget column with a newer forecast.
Compare approaches by the job they serve:
| Approach | Useful when the main job is | Evidence to request |
|---|---|---|
| Spreadsheet planning | Maintaining a manageable set of explicit driver calculations | Visible formulas, protected assumptions, and archived versions |
| Dedicated planning application | Collecting linked plans and coordinating changes across owners | A worked submission, approval, and version-comparison exercise |
| File-based analysis | Explaining differences between existing plans and actuals | Reconciled totals, consistent mappings, and a variance bridge |
Use this as a test agenda. Specific capabilities depend on the candidate and must be demonstrated on your workbook.
Use an illustrative US distributor's completed monthly results. Keep the product scope and accounting period identical across an original forecast, a revised forecast, and actuals. All monetary inputs and outputs below are USD; there is no currency conversion or rounding in this example.
| Version | Units sold | Net price per unit (USD) | Variable cost per unit (USD) | Fixed operating cost (USD) |
|---|---|---|---|---|
| Original forecast | 10,000 | 50 | 30 | 100,000 |
| Revised forecast | 11,000 | 49 | 31 | 105,000 |
| Actual | 10,500 | 48 | 32 | 108,000 |
The fixed costs are those included in this operating example. Interest and taxes sit outside its scope. Net prices already reflect discounts and returns; variable costs use the same definition across versions.
Revenue = Units × Net price per unit
Variable cost = Units × Variable cost per unit
Contribution = Revenue − Variable cost
Operating profit in this example = Contribution − Fixed operating cost
| Version | Revenue (USD) | Variable cost (USD) | Contribution (USD) | Operating profit (USD) |
|---|---|---|---|---|
| Original forecast | 500,000 | 300,000 | 200,000 | 100,000 |
| Revised forecast | 539,000 | 341,000 | 198,000 | 93,000 |
| Actual | 504,000 | 336,000 | 168,000 | 60,000 |
If the assumptions table occupies A1:E4, the expected output formulas are =B2*C2 for revenue, =B2*D2 for variable cost, and =B2*(C2-D2)-E2 for operating profit. Fill down for the other versions.
Notice that the revised forecast has more units and revenue than the original but less profit. A useful evaluation must expose the weaker unit economics rather than reward higher sales alone.
Ask the candidate to reproduce the output table before adding complexity. Then change a single input and inspect the dependent figures. Volume should affect revenue and variable cost; a fixed-cost assumption should affect profit without changing revenue.
Next ask how the approach handles constraints. If capacity cannot support the proposed volume, somebody must revise the assumption or approve the required resources. Record which owner makes that decision and where the revised input is documented.
Keep assumptions distinct from later observations. Forecasting: Principles and Practice distinguishes forecasts made with information available in advance from calculations using later predictor values. That distinction matters when a driver-based plan looks accurate only after its assumptions have been replaced with actual outcomes.
Require an assumption register with driver name, business unit, effective period, version, owner, and source. For important assumptions, add the reason for the change. A readable output is much easier to challenge when its inputs remain identifiable.
Choose the revised forecast as the comparison version. Actual revenue is $504,000 against $539,000, a variance of −$35,000. Actual operating profit is $60,000 against $93,000, a variance of −$33,000.
Use actual minus forecast throughout. The following sequential bridge assigns volume at forecast unit contribution, then assigns price and unit-cost changes at actual volume:
| Profit driver | Calculation | Profit effect (USD) |
|---|---|---|
| Volume | (10,500 − 11,000) × (49 − 31) | −9,000 |
| Price | 10,500 × (48 − 49) | −10,500 |
| Variable cost per unit | −10,500 × (32 − 31) | −10,500 |
| Fixed operating cost | −(108,000 − 105,000) | −3,000 |
| Total variance | Sum of driver effects | −33,000 |
The proof is $93,000 − $9,000 − $10,500 − $10,500 − $3,000 = $60,000. An unexplained residual means the scope, mapping, or bridge logic needs investigation.
Different bridge conventions can assign interaction effects differently. Require the convention to be stated and used consistently. For the revenue side of this exercise, see revenue driver analysis; do not confuse a revenue explanation with a complete profit explanation.
Repeat the exercise with another closed period and with a business unit that uses different drivers. Ask the same finance analyst to import the files and reproduce the comparison. Record manual repairs, ambiguous mappings, and unresolved differences.
If forecast quality influences the purchase, use dated historical versions and a fixed forecast horizon. Forecast evaluation guidance separates test-period errors from fit on historical training observations. A retrospective calculation using revised inputs does not establish the quality of an earlier forecast.
Keep a written acceptance log: requirement, expected output, observed result, evidence, and responsible reviewer. Mark a requirement incomplete when the supplier has only described it. Finance should approve accounting definitions; business owners should approve their assumptions.
Bring a workbook of forecast versions, driver assumptions, and matching actual revenue and cost rows. Covirage maps the columns, and its tools compute and check the comparisons; the external AI model explains the results with every figure traced to its rows. Create a free Covirage account and bring a sample of your own files.
See Covirage for FP&A reporting for the supporting analysis workflow.
A driver is an operational or commercial assumption used to calculate a financial result. Examples include units sold, realized unit price, staffing hours, and cost per unit. Each driver needs a definition, period, source, and owner so a reviewer can challenge the assumption and reproduce its effect.
Start with the work that causes difficulty. Creating linked assumptions, collecting submissions, and approving versions are planning requirements. Comparing completed plans with actual results is an analysis requirement. A company may need both; assess each against its own acceptance tests rather than treating them as interchangeable.
Preserve each version's issue date, coverage, assumptions, and approval status. Compare the same business units and periods against the same actuals file. Keep the original forecast visible after revisions so later knowledge does not overwrite the record of what finance expected at the time.
No. A transparent calculation can still use an inaccurate volume, price, or timing assumption. Assess both the relationship between drivers and financial outputs and the quality of the assumptions themselves. Measure forecast performance on periods that occurred after the forecast was issued.