Estimate a sample size before the detailed testing plan is locked.
Audit
Audit sampling estimates that show the tradeoff between confidence, tolerance, and sample size.
Estimate a planning sample size in your browser using population size, population value, tolerable deviation, expected deviation, tolerable misstatement, and confidence level.
Direct answerAn audit sampling calculator turns population size, tolerable error, expected error, and confidence assumptions into a planning sample-size estimate and a usable sampling interval.
Browser-first workflowFunctional tool on topExport-ready output
1. Build the scenario
CalculatorUse the planning assumptions to estimate both an attribute-style sample size and a monetary-style sample size. The tool uses the larger of the two as the recommendation.
Enter assumptions or load a sample scenario to see the result.
Live Tool
Audit sampling estimate in the browser
Enter the planning assumptions, review the sample estimate, and only then move into the guide below.
Planning support, not methodology replacement
This page is for first-pass planning estimates. Final sample design should still follow your firm or team methodology.
What this audit sampling calculator is built to solve
The hard part is not finding a formula. The hard part is seeing how confidence, tolerable error, and expected error interact before the sample design is finalized.
Translate tolerable and expected misstatement into a practical interval.
See how tighter confidence or tighter tolerances push the sample higher.
Key signals
Use these cards to explain the result before you move into a broader workpaper or review memo.
Detailed breakdown
The breakdown cards and table keep the math explainable and export-ready.
Interpretation
Use these extra cards to decide what to do next with the result.
The functional interface stays above the guide so users solve the task before they read.
The result includes enough context to defend the next review step.
The page is useful immediately without a platform rollout.
The page uses the same visual system as the main Ledger Summit site.
Guide Below The Tool
How to use audit sampling calculator well
Written for searchers, answer engines, and finance teams that need the answer first and context second.
An audit sampling calculator turns population size, tolerable error, expected error, and confidence assumptions into a planning sample-size estimate and a usable sampling interval.
Auditors, controllers, finance teams, and reviewers planning a testing approach or sense-checking sample-size assumptions.
Population size, population value, tolerable deviation, expected deviation, tolerable misstatement, and confidence drive the result.
Workflow
Four practical steps
Use the tool as a first-pass answer layer before you move into a larger workpaper or review memo.
1
Load the real inputs first.Use the export or assumptions that match the actual reconciliation or planning question you are answering.
2
Run the tool before you open a bigger workbook.The point is to isolate the first answer quickly, then decide whether a larger workpaper is still necessary.
3
Review the summary and the detailed queue together.The summary shows the headline issue while the queue or table shows what to inspect next.
4
Export only what needs to move downstream.Use the browser result as the first review layer, then move the queue into the close file or review deck if needed.
Review Checklist
What reviewers usually validate first
These are the areas reviewers usually check first once the initial result is visible.
Check that the mapped export or assumptions actually represent the population you want to review.
Most reconciliation mistakes start with sign conventions, date windows, or period cut-off assumptions.
The highest-value unresolved items should be handled before low-dollar cleanup.
If the result will be reviewed later, make sure the exported queue carries enough context to defend the follow-up.
One-sided balances, stale items, duplicate patterns, and blank fields usually deserve explicit follow-up.
After the first-pass tool result, decide whether the issue needs a journal entry, a recon note, or a deeper workpaper.
The functional interface stays above the guide so users solve the immediate task before they read.
The page explains the result instead of dumping raw rows or one isolated metric.
Ledger Summit can extend this into a richer internal workflow later, but the browser tool is already usable now.
FAQ
Audit Sampling Calculator questions, answered directly
Written in short form so users and answer engines can get a clear response without generic filler.
An audit sampling calculator turns population size, tolerable error, expected error, and confidence assumptions into a planning sample-size estimate and a usable sampling interval.
Auditors, controllers, finance teams, and reviewers planning a testing approach or sense-checking sample-size assumptions.
Population size, population value, tolerable deviation, expected deviation, tolerable misstatement, and confidence matter most.
No. It is a planning estimate and should not replace your firm or team sampling methodology.
It keeps the planning tradeoffs visible and combines attribute-style and monetary-style estimates in one browser workflow.
Next Step
Need this connected to a broader workflow?
Use the browser tool first. If you need a richer internal workflow, automation, or reviewer routing around it, Ledger Summit can build the next layer around your process.
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