Reliability

Reliability Rating

Reliability is generated from a database that consists of input from consumer satisfaction surveys and staff evaluations. The results are further broken down so that the end score reflects 1/3 input from the evaluations and 2/3 from the satisfaction surveys. The results from the satisfaction surveys are calculated using equally the summary of averages from both brand and manufacturer.

An example of reliability rating:

Brand A, Brand B, and Brand C are manufactured by Manufacturer Z . From a total of 450 satisfaction surveys, the average score received for Brand A = 70; for Brand B = 75; and for Brand C = 79. Thus, Manufacturer Z's average satisfaction score from the satisfaction surveys is 75.

If the staff has had an opportunity to evaluate Manufacturer Z's brands by physical inspections, those scores are entered into the database. For this example Brand A received an evaluation score of 65, Brand B received 70, and Brand C was not evaluated.

Results for Brand A: Brand A consumer satisfaction score = 70; Manufacturer Z's consumer satisfaction score = 75; RVCG staff evaluation score = 65. The total for Brand A = 210, which divided by 3 will give Brand A a reliability rating of 70.

Results for Brand B: Brand B consumer satisfaction score = 75; Manufacturer Z's consumer satisfaction score = 75; RVCG staff evaluation score = 70. The total for Brand B = 220, which divided by 3 will give Brand A a reliability rating of 73.

Results for Brand C: Brand C consumer satisfaction score = 79; Manufacturer Z's consumer satisfaction score = 75; RVCG staff did not evaluate Brand C. The total for Brand C = 145, which divided by 2 will give Brand C a reliability rating of 77.

Our database is programmed to search for duplicates by name, email or other data. We also do a record-by-record "eye" search to keep the database as clean as possible. We are firmly convinced that this rating is 95% pure when reflecting reliability.




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