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The Learning Curve: Learning Rate, Learning Effect and the Formula y = ax^b

ICAN Skills, Performance Management. Syllabus area D: Budgeting and control.

10 min read · Updated 8 November 2026

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A boat builder in Warri wins an order for sixteen identical fishing boats. The first boat takes the crew 800 hours. The tenth does not take 800 hours: the crew has learned where the delays are, jigs have been made, and the work has settled into a rhythm.

A budget that assumes 800 hours a boat would overstate labour cost by thousands of hours and a price quoted on that basis would lose the contract. The learning effect is the improvement in efficiency that comes with repetition of a task, and the learning curve is the mathematical model that describes it.

This topic explains the effect, the learning rate, the tabular approach that works for doublings of output and its limitation, the learning curve formula y = axb that works for any number of units, how to find the learning rate from data, and how to calculate the time for any single unit and the cost of a batch. It builds on the earlier topic on correlation, regression and time series.

The next topic covers the learning curve in budgeting: steady state and limitations.

In 30 seconds

When a skilled, repetitive task starts, workers learn and the time per unit falls; eventually the effect wears out and the time becomes constant (a steady state). An x% learning curve means that every time cumulative output doubles, the cumulative average time per unit falls to x% of its earlier value.

So with an 80% curve, the average time for the first 2 units is 80% of the time for the first unit, for the first 4 units 80% of the average for 2, and so on. The tabular approach shows cumulative average, total time and incremental time for 1, 2, 4, 8, 16 units but cannot give the time for a single unit such as the third.

The formula y = axb can: y = cumulative average time per unit, x = cumulative units, a = time for the first unit and b = log (learning rate) ÷ log 2 (a negative number; use 0.8 for 80%). Total time for x units = y × x. Time for the nth unit = total for n units − total for n − 1 units. The learning rate is found from (cumulative average ÷ a) = ratenumber of doublings.

Learning affects labour and labour-driven overhead, not materials. Full marks come from correct application of the formula and a sensible comment.

The learning effect and the learning curve

The effect

When a team starts a skilled task for the first time and the task becomes repetitive, the workers find quicker ways, make fewer mistakes and gain knowledge and confidence, so the time to do the work falls. This improvement is the learning effect. It was first noticed in the United States in the 1940s in aircraft manufacture, a highly skilled activity where labour time is a large part of cost.

It is strongest in labour-intensive work and weakest where machines set the pace. After a time the effect is exhausted and the time per unit stabilises. The effect matters for costs, for budgeting and forecasting of labour and production, and for pricing, because a quotation can allow for the savings that will be made.

The learning rate

The effect is measured as a percentage, the learning rate: for example 80% or 90%. An x% curve means that when cumulative output doubles, the cumulative average time per unit becomes x% of what it was. The lower the percentage, the faster the learning. Note that it is the cumulative average time of all units made so far that falls to x%, not the time of the last unit.

The tabular approach

For doublings of output, a table can be built:

  • cumulative units
  • cumulative average time per unit (multiplying by the rate at each doubling)
  • total time (units × cumulative average)
  • incremental time for the extra units (the change in total)
  • average time for the additional units (incremental time ÷ extra units)

Its weakness: it works only for doublings, and gives the time for a batch (for example units 3 and 4 together) but not for a single unit, since the later units in a batch take less time than the earlier ones. For that, use the formula.

The formula

y = axb, where y is the cumulative average time per unit for x units, a is the time for the first unit, x is the cumulative number of units and b = log of learning rate ÷ log 2. The rate is entered as a decimal. For an 80% curve b = log 0.8 ÷ log 2 = −0.32193; for 85%, −0.2345; for 90%, −0.1520.

A calculator with a log key does the work, and x raised to a negative power is the reciprocal of x raised to the positive power. Then:

  • Cumulative average for x units = a × xb.
  • Total time for x units = x × a × xb.
  • Time for the nth unit = total for n units − total for (n − 1) units.
  • Time for units m to n = total for n units − total for (m − 1) units.
The learning curveA graph of cumulative average time per unit against cumulative units. The curve falls steeply at first and then flattens to a horizontal line, labelled the steady state, where the learning effect has ended.steady state: time per unit constantfirst unit: acumulative unitsaverage time

Finding the learning rate

If the time for the first unit and the cumulative average for some later number of units are known, the learning rate is found by dividing the average by a and taking the root that matches the number of doublings. If 4 units (two doublings) average 405 hours when the first took 720, then 405 ÷ 720 = 0.5625, and the rate is √0.5625 = 0.75, a 75% curve. For 8 units there are three doublings and the cube root is taken.

For other numbers use logs: b = log (average ÷ a) ÷ log x, and the rate = 2b.

Using the curve for costing and budgeting

The learning effect reduces costs that vary with labour time: direct labour and overheads that are absorbed on labour hours. It does not normally reduce material cost, because the amount of material needed has nothing to do with the speed of work.

To use the curve in a cost estimate:

  • calculate the total labour hours for the batch (or for the units still to be made) from the formula
  • multiply by the labour rate (and the variable overhead rate per hour)
  • add the materials, which do not fall

Pricing on a cost-plus basis can allow for the lower cost of later units, and the sales budget then reflects lower prices.

In budgetary control, actual hours should be compared with hours expected allowing for learning, not with the time of the first unit. The conditions for the curve to apply, the steady state and the practical limits are the subject of the next topic.

Layouts for the learning curve

  1. Tabular: units; cumulative average (× rate at each doubling); total; incremental; average of the additional units.
  2. Formula: b = log rate ÷ log 2; y = a xb; total = x y.
  3. Single unit: total(n) − total(n − 1).
  4. Rate: (average ÷ a) = ratedoublings.
  5. Cost: hours × labour (and variable overhead) rate.

Hours to one decimal place; money in naira; each answer is rounded once, at the end.

Worked examples

Example 1: the tabular approach. The first of a new boat takes 800 hours and there is an 85% learning curve. Required: the table for 1, 2, 4, 8 and 16 boats.

  1. Cumulative average. 1: 800.
    2: 800 × 0.85 = 680.
    4: 578.
    8: 491.3.
    16: 417.605.
  2. Total time. 1: 800. 2: 1,360. 4: 2,312. 8: 3,930.4. 16: 6,681.68.
  3. Incremental time. Boat 2: 560. Boats 3 and 4: 952 (average 476). Boats 5 to 8: 1,618.4 (average 404.6). Boats 9 to 16: 2,751.28 (average 343.9).
  4. Check. Each doubling lowers the cumulative average by 15%, but the average of the additional boats falls faster, because later boats are quicker than earlier ones.

Example 2: the formula, the rate and the cost. Using the 85% curve and a = 800: (a) the time for the tenth boat; (b) the learning rate if the first 8 boats of a different model average 307.2 hours and the first took 600; (c) the labour cost of the first 8 boats at ₦1,500 an hour, compared with no learning.

  1. b.
    log 0.85 ÷ log 2 = −0.070581 ÷ 0.30103 = −0.2345.
  2. Tenth boat.
    For 10 boats: y = 800 × 10−0.2345 = 466.26 hours; total 4,662.6.
    For 9 boats: y = 800 × 9−0.2345 = 477.92; total 4,301.3.
    The tenth boat took 4,662.6 − 4,301.3 = 361.3 hours, much less than the first.
  3. Rate. 8 units is three doublings.
    307.2 ÷ 600 = 0.512; the cube root is 0.8, so an 80% curve.
  4. Cost.
    Total time for 8 boats = 3,930.4 hours (table)
    at ₦1,500 = ₦5,895,600.
    With no learning: 8 × 800 = 6,400 hours × 1,500 = ₦9,600,000.
    Learning saves ₦3,704,400 of labour, which a price quoted on the first-unit time would fail to pass on to the customer.

Expect variants: a requirement to find the time of a later unit, finding the rate when the 8th or 16th unit is given, learning applied to the labour cost of a contract with a given number of units, or a question on the conditions needed for learning.

Common mistakes

  • Applying the rate to the time of the last unit instead of to the cumulative average.
  • Using 80 instead of 0.8 in the log.
  • Taking y as the total time when it is the cumulative average.
  • Finding the nth unit by subtracting averages, not totals.
  • Applying learning to materials.
  • Using the tabular approach for a number of units that is not a doubling.

Quick revision

  • x% curve: cumulative average time × x% each time output doubles.
  • y = axb; b = log rate ÷ log 2; total = xy; nth unit = total(n) − total(n − 1).
  • Rate: average ÷ a = ratedoublings.
  • Affects labour and labour-driven overhead, not materials.

How the marks are earned

  • Method: the correct formula and b.
  • Calculation: totals and differences, in hours then naira.
  • Comment: use in budgeting and pricing.

Practice questions

These are original questions, written in the style of the Skills examination. Work each one before you open the answer.

Recall check: multiple choice

Question 1. The learning effect is:

  1. A rise in wages
  2. A fall in prices
  3. The improvement in efficiency as a task is repeated
  4. A new machine
Show the answer

C. Time per unit falls with experience.

Question 2. An 80% learning curve means that each time cumulative output doubles:

  1. Total time falls to 80%
  2. The cumulative average time per unit falls to 80% of its earlier value
  3. The last unit takes 80% of the time
  4. Cost rises by 80%
Show the answer

B. It is the cumulative average that falls.

Question 3. The tabular approach can show only:

  1. Doublings of output
  2. Any number of units
  3. Single units
  4. Materials
Show the answer

A. Use the formula for other numbers.

Question 4. The learning curve formula is:

  1. y = a + bx
  2. y = ab
  3. y = x/a
  4. y = axb
Show the answer

D. y is the cumulative average time.

Question 5. The learning factor b equals:

  1. log (learning rate) ÷ log 2
  2. The learning rate
  3. Log 2
  4. The first unit time
Show the answer

A. It is negative for rates below 100%.

Question 6. In y = axb, y is:

  1. The time for the last unit
  2. The total time
  3. The cumulative average time per unit for x units
  4. The first unit time
Show the answer

C. Multiply by x for the total.

Question 7. The time for the nth unit is:

  1. y
  2. Total for n units less total for n − 1 units
  3. y ÷ n
  4. Total ÷ 2
Show the answer

B. Subtract totals, not averages.

Question 8. The learning effect mainly reduces:

  1. Materials
  2. Rent
  3. Depreciation
  4. Labour and labour-driven overhead
Show the answer

D. Materials are unaffected.

Question 9. In the log formula an 80% rate is entered as:

  1. 0.8
  2. 80
  3. 8
  4. 800
Show the answer

A. As a decimal.

Question 10. With a 90% curve and a first unit of 100 hours, the cumulative average for the first 2 units is:

  1. 100 hours
  2. 95 hours
  3. 90 hours
  4. 80 hours
Show the answer

C. 100 × 0.9.

Section B style: written questions

Question 11 (10 marks). (a) Explain the learning effect. (3 marks) (b) Explain what a 90% learning curve means. (3 marks) (c) State why the tabular approach is limited. (2 marks) (d) State which costs are affected. (2 marks)

Question 12 (15 marks). The first unit of a product takes 400 hours and there is a 90% learning curve. Labour costs ₦1,200 an hour.

(a) Prepare the tabular schedule for 1, 2, 4 and 8 units: cumulative average, total time and incremental time. (8 marks) (b) Calculate the labour cost of units 5 to 8. (3 marks) (c) State FOUR conditions for a learning curve to apply. (4 marks)

Question 13 (20 marks). The first unit of a machine took 1,000 hours and an 80% learning curve applies.

(a) Calculate b. (3 marks) (b) Calculate the cumulative average and total time for 12 units. (5 marks) (c) Calculate the time for the twelfth unit. (6 marks) (d) The first four units of a different job averaged 640 hours each against 1,000 for the first. Calculate the learning rate. (3 marks) (e) State TWO limitations of the learning curve. (3 marks)

Model answers

Show the model answer to Question 11

(a) When a skilled, repetitive task starts, workers become quicker and make fewer mistakes with experience, so the time per unit falls until a steady state is reached (3).

(b) Each time cumulative output doubles, the cumulative average time per unit becomes 90% of what it was (3).

(c) It works only for doublings of output and cannot give the time of a single unit (2).

(d) Labour and overheads that vary with labour time; not materials (2).

Show the model answer to Question 12

(a) Cumulative average: 400; 360; 324; 291.6. Total time: 400; 720; 1,296; 2,332.8. Incremental: unit 2 320; units 3 and 4 576; units 5 to 8 1,036.8 (8).

(b) 1,036.8 × 1,200 = ₦1,244,160 (3).

(c) Any four: stable conditions with low labour turnover; labour-intensive repetitive work; no change in production method; short gaps between units; motivated employees (4).

Show the model answer to Question 13

(a) b = log 0.8 ÷ log 2 = −0.3219 (3).

(b)

  1. y = 1,000 × 12−0.3219 = 449.35 hours
  2. total = 12 × 449.35 = 5,392.2 hours (5).

(c)

  1. For 11 units: y = 1,000 × 11−0.3219 = 462.11; total 5,083.2.
  2. The twelfth unit took 5,392.2 − 5,083.2 = 308.9 hours (6).

(d)

  1. Four units is two doublings.
    640 ÷ 1,000 = 0.64
  2. √0.64 = 0.8, an 80% curve (3).

(e) Any two: hard to measure the rate and first unit time accurately; automation removes learning; changes in design restart it; high labour turnover destroys it (3).

Pathfinder on Learning curve rate and effect

These are the ICAN Pathfinder questions that test this topic. ICAN owns the questions and the suggested solutions, so we point you to them and do not copy them. Open your Pathfinder, attempt each question under exam conditions, then check your answer against the notes above.

May Diet, 2026: Question 2 (20 marks)

Learning curve concept, learning rate from quarterly shut-down costs, forecast year costs, steady state.

Revise first: Layouts for the learning curve

May Diet, 2023: Question 7 (15 marks)

Learning rate from batch times, time for 400 more units, minimum price with opportunity cost of scarce labour.

Revise first: Layouts for the learning curve

Source: ICAN Pathfinder, Performance Management. Diets covered: March/July Diet, 2020 to May Diet, 2026. All 13 diets in the Pathfinder are mapped.

Spotted a mistake? Tell us and we will check it.

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See every past question on Performance Management and the topic each one tests in the Pathfinder question finder.

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All Performance Management topics

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  1. Information systems in organisations: role, costs and benefits01
  2. Internet, intranet, wireless technology and networks in business02
  3. Information needs at strategic, tactical and operational levels03
  4. TPS, MIS, EIS, ERP and CRM systems compared04
  5. Social and ethical issues in strategy and the management accountant’s data role05
  6. Big data principles and the big data pyramid06
  7. Big data, data mining and analytics: uses, benefits, challenges and risks07
  8. Activity based costing: cost pools, cost drivers and calculations08
  9. Activity based costing compared with traditional absorption costing09
  10. Target costing: principles and calculating the target cost10
  11. Managing the target cost gap and target costing in services11
  12. Life cycle costing: product life cycle stages and costs12
  13. Life cycle cost and profit calculations, and the benefits of life cycle costing13
  14. Throughput accounting: theory of constraints and the throughput accounting ratio14
  15. Environmental management accounting and sustainability in business15
  16. Environmental costs: methods, challenges and the management accountant’s role16
  17. Relevant costs and revenues, and opportunity cost17
  18. Relevant costs for specific decisions: materials, labour, equipment and overheads18
  19. Break-even analysis and margin of safety for Skills level decisions19
  20. Contribution to sales ratio, target profit and target revenue20
  21. Break-even charts and profit-volume charts21
  22. Multi-product CVP analysis and its limitations22
  23. Limiting factors: allocating a single scarce resource23
  24. Linear programming: formulation and graphical solution24
  25. Linear programming: slack and shadow prices25
  26. Price elasticity of demand and the factors that influence price26
  27. Demand and cost functions: profit-maximising price and output27
  28. Cost-based pricing: cost-plus and relevant-cost pricing28
  29. Market-based pricing: skimming, penetration and other strategies29
  30. Make-or-buy and outsourcing decisions30
  31. One-off contracts, shutdown and further processing of joint products31
  32. Reducing uncertainty: research, simulation and sensitivity analysis32
  33. Expected values and decision rules: maximax, maximin and minimax regret33
  34. Decision trees for multi-stage decisions34
  35. Value of perfect and imperfect information35
  36. Budgetary systems and types of budget: choosing the right one36
  37. Preparing fixed and flexed budgets37
  38. Rolling, activity-based, functional and master budgets38
  39. The beyond budgeting model: benefits and problems39
  40. Participation, negotiation and ethics in budgeting40
  41. High-low method and cost estimation for budgets41
  42. Correlation, regression and time series for budgeting and forecasting42
  43. Learning curve: learning rate and learning effect43 here
  44. Learning curve in budgeting: steady state and limitations44
  45. Standard costing: uses, how standards are set and types of standard45
  46. Basic variances: material, labour and idle time46
  47. Material mix and yield variances47
  48. Labour mix and yield variances48
  49. Sales mix and quantity variances49
  50. Planning and operational variances: revised budget, sales, market size and market share50
  51. Planning and operational variances for materials and labour51
  52. Overhead variances and reconciling budgeted and actual profit at Skills level52
  53. Behavioural effects of variances: motivation, JIT and TQM53
  54. Profitability ratios and financial performance measures54
  55. Liquidity, solvency and efficiency ratios55
  56. Non-financial performance indicators56
  57. Short-termism and financial manipulation of results57
  58. Sustainability and ESG performance measures58
  59. The balanced scorecard59
  60. The Fitzgerald and Moon building block model60
  61. Performance measurement in not-for-profit organisations61
  62. Value for money as a public sector objective62
  63. Divisional performance: return on investment and residual income63
  64. Economic value added (EVA)64
  65. Transfer pricing methods and the optimal transfer price65
  66. Transfer pricing: problems, tax and repatriation of funds66
  67. Value chain analysis for performance management67
  68. Complex business structures: alliances, joint ventures and supply chains68
  69. The performance pyramid69
  70. Value-based management70
  71. Corporate failure and life cycle issues71
  72. The Z-score and other quantitative failure models72
  73. The Argenti model and qualitative failure prediction73
  74. Preventing corporate failure and performance improvement strategies74
  75. Current developments in management accounting75
  76. Benchmarking and target setting in the public sector76
  77. The changing role of the management accountant and contemporary issues77
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