competitors who use a traditional job-based approach.
oMarket data must be converted to fit the skill or competency structure. The
simplest way to do this is to identify the lowest- and highest-paid
benchmark jobs for the relevant skills in the relevant market and to use the
wages for these jobs as anchors for the skill-based structures.
oWork at various levels within the structure can then be slotted between the
anchors.
Benchmark Conversion/Survey Leveling
oIn cases where the content (e.g., job description) of an organization’s jobs
does not sufficiently match that of jobs in the salary survey, an effort can
be made to quantify the difference via benchmark conversion.
oIf an organization uses job evaluation, then its job evaluation system can be
applied to the survey jobs. The magnitude of difference between job
evaluation points for internal jobs and survey jobs provides an estimate of
their relative value and thus guidance for adjusting the market data.
D. What Information to Collect?
Three basic types of data typically are requested:
oInformation about the organization
oInformation about the total compensation system
oSpecific pay data on each incumbent in the jobs under study
Exhibit 8.9 lists the basic data elements and the logic for including them.
No survey includes all the data. Rather, the data collected depend on the
purpose of the survey, and the jobs and skills included.
Organization Data
oThis information reflects the similarities and differences among
organizations in the survey. Surveys of executive and upper-level positions
include financial and reporting relationships data, since compensation for
these jobs is more directly related to the organization’s financial
performance.
oThe competitors’ data have not been used to compare competitors’
productivity (revenues to compensation) or labor costs.
oBut this is changing. Metrics of organization performance such as turnover
and revenues are being collected.
oOther outcomes such as earnings per share, market share, customer
satisfaction, employee pay satisfaction, and recruiting yield ratios are not
included. Financial data are gathered from other, often publicly available
sources (e.g., Google Financial, Thompson Financial). Examples include
metrics on organization success (revenues, net income, customer
satisfaction), turnover (voluntary quit rates), and recruiting (yield ratios).