Tool

Target Costing & Margin Improvement Canvas (Interactive)

A one-page interactive canvas to capture part-level cost breakdowns, top cost drivers, targeted improvement levers, and a concrete small-scale experiment plan — saved as a reusable submission for tracking and follow-up.

Interactive Tool

Target Costing Canvas

Target Costing Canvas

Use this interactive canvas to capture the current cost picture for a part or product, identify the highest-impact cost drivers, select practical levers, and convert ideas into a small-scale experiment with an owner and measurable success metric. Save the form to track experiments over time.

Name the part, product, or assembly this canvas covers.
Optional internal identifier, SKU, or drawing number.
Enter the current all-in unit cost (currency per unit).
If you have a target, enter the desired unit cost after improvements.
Estimated or tracked materials cost portion.
Direct operator/assembly labor per unit.
Allocated overhead per unit (utilities, indirect labor, etc.).
Describe the top cost driver (e.g., scrap, cycle time, expensive raw material).
Briefly describe why this cost driver exists (observations, evidence, data).
Second-highest cost driver (if applicable).
Root cause details for the second driver.
Third cost driver (optional).
Root cause details for the third driver.
Select one or more levers that could reduce cost for this part.
If you selected Other, describe the lever.
Choose the single lever you will test first.
A crisp hypothesis linking the lever to expected cost or margin improvement (if _then_ format helps). Example: 'If we change supplier X to co-packed material Y, then material cost will drop by $0.10/unit without increasing defect rate.'
Person responsible for running the test and reporting results.
Describe the test scope, sample size, locations, and steps for the pilot/trial.
How long the pilot will run to collect meaningful data.
Define the metric you will measure (e.g., $ cost/unit, yield %, cycle time, throughput).
Numeric threshold that will count the test as a success (use appropriate units).
Estimated improvement in margin per unit if experiment scales.
Estimated percent improvement in margin or cost reduction.
One-time or recurring costs required to run the test or implement the lever.
Rate the risk that the change will harm quality, delivery, or compliance (1 = very low, 5 = very high).
1.0 10.0
How confident is the team that the test will produce the projected benefit? (1 low — 5 high).
1.0 10.0
List assumptions the experiment must check (e.g., supplier lead time, material properties, labor availability).
What data will you collect, how often, and who will report it? Include required fields or sources (e.g., SPC, OEE, inspection counts).
Immediate next actions after saving this canvas (who, by when).
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