AKA | Comparative Benchmarking |
Classification | Data Collecting (DC) |
Benchmarking, made popular by Robert C. Camp, is a data collection method that identifies and measures similar processes, products, and services against those of organization, considered best-in-class. All benchmarking projects, inside or outside the organization, generally collect and compare strategic, performance, or process benchmarks for the purpose of identifying gaps in performance and establishing gap-closing action plans.
To identify areas that require process improvement.
To verify and measure an organization's performance against that of the competition.
To research trends and performance data of similar organizations for the purpose of developing strategic action plans.
→ | Select and define problem or opportunity |
→ | Identify and analyze causes or potential change |
Develop and plan possible solutions or change | |
Implement and evaluate solution or change | |
→ | Measure and report solution or change results |
Recognize and reward team efforts |
1 | Research/statistics |
Creativity/innovation | |
Engineering | |
Project management | |
Manufacturing | |
4 | Marketing/sales |
Administration/documentation | |
Servicing/support | |
2 | Customer/quality metrics |
3 | Change management |
before
Data collection strategy
Idea Grid
Interview technique
Surveying
Customer Needs Table
after
Action plan
Activity cost matrix
Information Needs Analysis
Force Field Analysis (FFA)
Competency Gap
Quantitaive and qualitative data is collected in a benchmarking project as shown in the example. A different version of the benchmarking process can be illustrated.
Recommendation: An action plan for closing any existing gap should also consider the competitor's trendline in order to reach at least parity at some future date (goal).
STEP 1 First, the benchmarking team identifies processes to benchmark that are of great importance to the customer and the organization. See example Training and Development Services.
STEP 2 Similar organizations are targeted and selected on the basis of their excellence in certain fields.
STEP 3 Partnerships are formed with selected organizations. A set of common operational definitions is developed for processes, key characteristics, and metrics.
STEP 4 Desired benchmark data is collected (exchanged), using various data collection methods such as interviews, surveys, historical files, and other methods.
STEP 5 Collected benchmarks are analyzed and best-in-class performance data identified.
STEP 6 A gap analysis is performed and priorities established for certain identified areas in need of improvement.
STEP 7 Finally, an action plan is developed to close the performance gaps.
Training and Development Services
Quantitative (Numeric)
| Year xxxx | This Co. | Co.A | Co.B | Co.C | Co.D |
Efficiency ratio | 2367:1 | 1230:1 | 80:1 | 488:1 | 667:1 | |
$/Student hr. | $12.50 | $36.23 | $13.60 | $45.16 | $22.17 | |
%Platform time | 54% | NA | 20% | NA | 40% | |
Hrs/student | 28 | 40 | 208 | 51 | 8 | |
Effectiveness ratio | 1:1.59 | NA | 1:2 | NA | 1.10:1 | |
Expertise% | 100% | 95% | 73% | 98% | 100% | |
Expertise% | 90% | 95% | 80% | 95% | 20% | |
Flexibility% | 100% | 100% | 100% | 100% | 67% | |
[1]Notes: Benchmarks B–C (self-sufficiency) NA = No Benchmark data available |